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Neeraj V.

@nrjasp

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MERN, ERP,CRM, Shopify , WooCommerce Expert

$2 USD / Hour

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India (6:59 AM)

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Joined on May 20, 2010

$2 USD / Hour

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Neeraj Verma – Full-Stack Developer & Conversion Tracking Specialist I’m a Full-Stack Developer and Conversion Tracking Specialist with 9+ years of experience building scalable web applications, real-time dashboards, CRM systems, and privacy-compliant server-side tracking solutions. I help eCommerce brands, agencies, and SaaS teams fix broken or inaccurate tracking, improve attribution, and scale ads confidently—especially after iOS privacy updates and ad-blocker restrictions. 🔹 Conversion Tracking & Analytics Meta (Facebook) Conversion API (CAPI) – server-side tracking TikTok Events API & Pixel setup Google Tag Manager (client & server-side) GA4 custom events & debugging Shopify, WordPress & funnel tracking (ClickFunnels) CRM integrations (HubSpot, Zoho, custom CRMs) Event deduplication & attribution validation 🔹 Full-Stack & Backend Development MERN Stack: React, Node.js, Express, MongoDB PHP, Laravel, SugarCRM customization REST APIs, Webhooks, JSON Secure auth, role-based access & performance tuning 🔹 Real-Time & IoT Systems MQTT / WebSockets High-frequency data ingestion & normalization Real-time dashboards, alerts & time-series graphs Featured Project – Healthcare IoT Dashboard Built real-time monitoring web app with 12+ live health parameters 24-hour graphs, zoom/scroll, alerts & NA handling Optimized high-volume IoT data rendering Secure authentication & responsive UI Tech: React, Node.js, MongoDB, MQTT, Cloud Professional Background SugarCRM & PHP Developer (2020–Present) – Custom CRM modules, API integrations, workflow automation Web Developer (2016–2020) – ERP systems, dashboards, reporting & APIs IT Consultant & Trainer (2012–2016) Tools & Tech Postman, Google Cloud Functions, AWS Lambda, Zapier, Make, Git, GitHub, MySQL, MongoDB Why Work With Me? ✔ Server-side, future-proof tracking ✔ Clean, production-ready code ✔ Marketing + engineering expertise ✔ Fast delivery & clear communication I’m open to short-term tasks, long-term projects, and retainer work. Let’s build systems you can trust and scale on.

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Portfolio

Portfolio

13735505
I designed and implemented a server-side Meta (Facebook) Conversion API integration connected with GoHighLevel CRM to enable accurate lead tracking and ad attribution. The system captures new leads from GoHighLevel and sends structured conversion events directly to Meta in real time. The integration ensures that lead data—including contact details and attribution parameters—is securely transmitted from the CRM to Meta using server-side APIs. This eliminated data loss caused by browser restrictions and improved the reliability of conversion tracking across ad campaigns. The integration is designed to be privacy-compliant and resilient, ensuring consistent tracking even with ad blockers, cookie restrictions, and iOS privacy updates. The system includes structured logging and error handling, making it easy to monitor performance and scale in the future. Overall, this project demonstrates my ability to build production-grade marketing infrastructure that marketing teams can rely on with

Server-Side Meta CAPI Integration

I designed and implemented a server-side Meta (Facebook) Conversion API integration connected with GoHighLevel CRM to enable accurate lead tracking and ad attribution. The system captures new leads from GoHighLevel and sends structured conversion events directly to Meta in real time. The integration ensures that lead data—including contact details and attribution parameters—is securely transmitted from the CRM to Meta using server-side APIs. This eliminated data loss caused by browser restrictions and improved the reliability of conversion tracking across ad campaigns. The integration is designed to be privacy-compliant and resilient, ensuring consistent tracking even with ad blockers, cookie restrictions, and iOS privacy updates. The system includes structured logging and error handling, making it easy to monitor performance and scale in the future. Overall, this project demonstrates my ability to build production-grade marketing infrastructure that marketing teams can rely on with

Server-Side Meta CAPI Integration

13735466
I designed and implemented a production-grade integration between SugarCRM and GoHighLevel to automate lead synchronization and marketing workflows. The solution enables seamless data flow from SugarCRM to HighLevel, ensuring leads, campaigns, and marketing attributes stay in sync. The integration includes a custom SugarCRM module to push leads, a Laravel-based middleware service to handle HighLevel API communication, and a two-way sync mechanism that stores HighLevel contact IDs back in SugarCRM for future updates. I also implemented DND (Do Not Disturb) toggling, scheduled campaign syncs, and robust error handling with detailed logging to ensure reliability even during API failures or token expiration. The solution supports two-way synchronization, saving HighLevel contact IDs inside SugarCRM so future updates remain consistent. The DND toggle feature allows marketing teams to control SMS communication directly from CRM data. Overall, this project demonstrates my ability to build e

SugarCRM +GoHighLevel Integration

I designed and implemented a production-grade integration between SugarCRM and GoHighLevel to automate lead synchronization and marketing workflows. The solution enables seamless data flow from SugarCRM to HighLevel, ensuring leads, campaigns, and marketing attributes stay in sync. The integration includes a custom SugarCRM module to push leads, a Laravel-based middleware service to handle HighLevel API communication, and a two-way sync mechanism that stores HighLevel contact IDs back in SugarCRM for future updates. I also implemented DND (Do Not Disturb) toggling, scheduled campaign syncs, and robust error handling with detailed logging to ensure reliability even during API failures or token expiration. The solution supports two-way synchronization, saving HighLevel contact IDs inside SugarCRM so future updates remain consistent. The DND toggle feature allows marketing teams to control SMS communication directly from CRM data. Overall, this project demonstrates my ability to build e

SugarCRM +GoHighLevel Integration

I designed and implemented a production-grade integration between SugarCRM and GoHighLevel to automate lead synchronization and marketing workflows. The solution enables seamless data flow from SugarCRM to HighLevel, ensuring leads, campaigns, and marketing attributes stay in sync. The integration includes a custom SugarCRM module to push leads, a Laravel-based middleware service to handle HighLevel API communication, and a two-way sync mechanism that stores HighLevel contact IDs back in SugarCRM for future updates. I also implemented DND (Do Not Disturb) toggling, scheduled campaign syncs, and robust error handling with detailed logging to ensure reliability even during API failures or token expiration. The solution supports two-way synchronization, saving HighLevel contact IDs inside SugarCRM so future updates remain consistent. The DND toggle feature allows marketing teams to control SMS communication directly from CRM data. Overall, this project demonstrates my ability to build e

SugarCRM +GoHighLevel Integration

13735440
I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

13735505
I designed and implemented a server-side Meta (Facebook) Conversion API integration connected with GoHighLevel CRM to enable accurate lead tracking and ad attribution. The system captures new leads from GoHighLevel and sends structured conversion events directly to Meta in real time. The integration ensures that lead data—including contact details and attribution parameters—is securely transmitted from the CRM to Meta using server-side APIs. This eliminated data loss caused by browser restrictions and improved the reliability of conversion tracking across ad campaigns. The integration is designed to be privacy-compliant and resilient, ensuring consistent tracking even with ad blockers, cookie restrictions, and iOS privacy updates. The system includes structured logging and error handling, making it easy to monitor performance and scale in the future. Overall, this project demonstrates my ability to build production-grade marketing infrastructure that marketing teams can rely on with

Server-Side Meta CAPI Integration

I designed and implemented a server-side Meta (Facebook) Conversion API integration connected with GoHighLevel CRM to enable accurate lead tracking and ad attribution. The system captures new leads from GoHighLevel and sends structured conversion events directly to Meta in real time. The integration ensures that lead data—including contact details and attribution parameters—is securely transmitted from the CRM to Meta using server-side APIs. This eliminated data loss caused by browser restrictions and improved the reliability of conversion tracking across ad campaigns. The integration is designed to be privacy-compliant and resilient, ensuring consistent tracking even with ad blockers, cookie restrictions, and iOS privacy updates. The system includes structured logging and error handling, making it easy to monitor performance and scale in the future. Overall, this project demonstrates my ability to build production-grade marketing infrastructure that marketing teams can rely on with

Server-Side Meta CAPI Integration

13735466
I designed and implemented a production-grade integration between SugarCRM and GoHighLevel to automate lead synchronization and marketing workflows. The solution enables seamless data flow from SugarCRM to HighLevel, ensuring leads, campaigns, and marketing attributes stay in sync. The integration includes a custom SugarCRM module to push leads, a Laravel-based middleware service to handle HighLevel API communication, and a two-way sync mechanism that stores HighLevel contact IDs back in SugarCRM for future updates. I also implemented DND (Do Not Disturb) toggling, scheduled campaign syncs, and robust error handling with detailed logging to ensure reliability even during API failures or token expiration. The solution supports two-way synchronization, saving HighLevel contact IDs inside SugarCRM so future updates remain consistent. The DND toggle feature allows marketing teams to control SMS communication directly from CRM data. Overall, this project demonstrates my ability to build e

SugarCRM +GoHighLevel Integration

I designed and implemented a production-grade integration between SugarCRM and GoHighLevel to automate lead synchronization and marketing workflows. The solution enables seamless data flow from SugarCRM to HighLevel, ensuring leads, campaigns, and marketing attributes stay in sync. The integration includes a custom SugarCRM module to push leads, a Laravel-based middleware service to handle HighLevel API communication, and a two-way sync mechanism that stores HighLevel contact IDs back in SugarCRM for future updates. I also implemented DND (Do Not Disturb) toggling, scheduled campaign syncs, and robust error handling with detailed logging to ensure reliability even during API failures or token expiration. The solution supports two-way synchronization, saving HighLevel contact IDs inside SugarCRM so future updates remain consistent. The DND toggle feature allows marketing teams to control SMS communication directly from CRM data. Overall, this project demonstrates my ability to build e

SugarCRM +GoHighLevel Integration

I designed and implemented a production-grade integration between SugarCRM and GoHighLevel to automate lead synchronization and marketing workflows. The solution enables seamless data flow from SugarCRM to HighLevel, ensuring leads, campaigns, and marketing attributes stay in sync. The integration includes a custom SugarCRM module to push leads, a Laravel-based middleware service to handle HighLevel API communication, and a two-way sync mechanism that stores HighLevel contact IDs back in SugarCRM for future updates. I also implemented DND (Do Not Disturb) toggling, scheduled campaign syncs, and robust error handling with detailed logging to ensure reliability even during API failures or token expiration. The solution supports two-way synchronization, saving HighLevel contact IDs inside SugarCRM so future updates remain consistent. The DND toggle feature allows marketing teams to control SMS communication directly from CRM data. Overall, this project demonstrates my ability to build e

SugarCRM +GoHighLevel Integration

13735440
I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

I developed a Real-Time IoT Device Monitoring Web Application for a healthcare use case, focused on handling live device data, visualizing multiple health parameters, and delivering a scalable, production-ready dashboard. The application includes real-time graphs with gap handling, 24-hour views, zoom and scroll features, and supports 12+ health parameters such as heart rate and respiration with alerts, NA handling, and parameter selection. I implemented optimized high-volume IoT data ingestion using MQTT/WebSockets to ensure smooth performance and accurate real-time updates. On the backend, I built secure and efficient APIs with proper validation, data normalization, and performance tuning. The system also includes device state management, automatic device detection, and profile-to-device mapping. Authentication was implemented with Google Sign-In, password reset, and token-based security. The dashboard is fully responsive for both web and mobile, making it suitable for real-world

WebSite Development for HealthCare

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