Senior Full-Stack Engineer for B2B Dashboard (LLM + Scoring Engine)

@Rekhathakur

Having successfully completed numerous projects in a multitude of verticals, WellSpring Infotech is skilled at crafting custom software solutions that optimize efficiency, boost profitability, and enhance customer satisfaction - qualities essential for your project. As an experienced full-stack engineer fluent in Python and JavaScript (Node.js and TypeScript), I am well-versed in design and implementation of REST/GraphQL APIs as per project needs, which exactly aligns with the kind of project you're offering. Moreover, my experience integrating LLM APIs such as OpenAI or Anthropic into production systems equipped me to fully comprehend the scope and challenges entailed in incorporating LLM for data enrichment, summarization, and assisting end users within the dashboard. My solid understanding of PostgreSQL helps me design efficient database schemas and write performant queries to ensure seamless integration with any system. Thanks...

@corpmember29

Hello, good day. I’m a Senior Full-Stack Engineer with strong experience building data-driven B2B SaaS dashboards, modular backends, and production-grade LLM integrations. I’m comfortable leading a focused sprint and collaborating closely with founders and engineers to ship clean, maintainable systems within tight timelines. Relevant SaaS experience (scoring / rules): I’ve built a B2B SaaS platform for vendor risk and customer qualification, where companies and users were scored using weighted business rules (usage signals, engagement data, compliance flags). The scoring engine was modular, versioned, and configurable without redeploying core logic. LLM integrations (production): Integrated OpenAI APIs to generate account summaries, risk explanations, and action recommendations directly inside a SaaS dashboard. Built an LLM-powered insight layer for internal users (prompt templates, caching, async jobs, cost control, and fallback logic). High-level approach to a modular scoring engine: Core scoring service with rule interfaces (each rule isolated, testable, weighted). Config-driven weights and thresholds stored in PostgreSQL. Versioned scoring logic to allow evolution over time. Async recomputation for large datasets, with clear auditability and explainability of scores. Happy to discuss milestones and start immediately.

@softsolution2000

I am confident that my skills in Python, Cloud Computing, NoSQL Couch & Mongo, Node.js, and AngularJS make me a great match for the Senior Full-Stack Engineer for B2B Dashboard (LLM + Scoring Engine) project. I am eager to dive into the project and deliver high-quality results. The budget can be adjusted based on the project scope, and I am committed to working within your budget. Please review my 15-year-old profile to see the extensive work I have done over the years. Your satisfaction is my priority, and I am ready to start working on the tasks to demonstrate my dedication. Looking forward to discussing the job details further.

@blackrockwise

I'm Wisdom, a seasoned full-stack developer proficient in Python and Node.js which are necessary for this project. I've got practical experience with REST/GraphQL APIs, PostgreSQL as well as modern SPA dashboard technologies such as React and Next.js. What sets me apart from others is my ability to build modular and evolvable services, something that your scoring engine absolutely needs for it to change and grow over time. My experience integrating LLM APIs includes working with prompt design, managing latency/costs and basic evaluation. Influencing and monitoring this processing time is well within my expertise, minimizing any disruption in the user experience. I have previously built data-driven SaaS platforms involving scoring, evaluation, or rule-based logic which aligns perfectly with your project scope. For the next 4 weeks, you can expect my dedicated commitment gracing your project. I'm ready to architect a robust scoring engine implementing multiple business rules and signals, alongside a performant frontend displaying scores and actionable insights. Keeping communication channels open has always been a priority for me and as such, async updates or calls won't be an issue. Let's discuss further to explore how my skills and availability can substantially contribute to your B2B dashboard's development journey.

@mrresearcher99

Hello, Your 4-week sprint fits perfectly with my background. I have 5+ years of full-stack experience (Node/TypeScript, PHP/Laravel, MERN/MEAN, Vue/React) and have built data-driven SaaS dashboards with scoring logic and LLM integrations. Relevant SaaS work I developed a B2B analytics platform that scored leads/users using weighted business rules and behavioral signals. It included PostgreSQL optimization, background jobs, and a responsive dashboard for business teams. LLM integration I’ve integrated OpenAI APIs for data enrichment, summarization, and in-app assistants. Implemented prompt management, caching, and cost controls to manage latency and usage in production. Modular scoring engine (high level) Config-driven rule registry with weights Event-based scoring pipeline Versioned scoring logic Background workers for recalculation Explainable score breakdown This ensures the engine evolves without major refactors. Availability 30–40 hours/week over the next 4 weeks. Comfortable with async updates and milestone-driven delivery. Ready to start immediately and collaborate closely with your team. Best, Bhargav

@sasaprogramer21

I have shipped B2B SaaS dashboards where a scoring layer drives prioritization, routing, and account health views. One example was a customer risk and expansion scoring service that combined product usage signals, billing events, and support activity into a weighted score with an explainability breakdown per rule, then exposed it in a React dashboard with filters and drill downs. For LLM integrations, I have put OpenAI style and Anthropic style APIs into production workflows for data enrichment and summarization. Two examples were account research summaries generated from internal notes and activity logs, and ticket and call summaries with structured outputs saved back to PostgreSQL. In both cases I handled latency and cost using background jobs, caching, and evaluation samples to catch regressions. For a modular scoring engine, I would separate signal extraction from rule evaluation, store rule definitions and weights versioned in the database, and emit both a final score and a transparent contribution list. This keeps changes safe, testable, and auditable while allowing you to iterate weekly without refactoring core code. Availability: 30 to 40 hours per week for the next 4 weeks.

@jignesh06

Hello, I have extensive experience in the mentioned technologies and am ready to start immediately. Let’s connect via chat to discuss the project requirements further. Thank you, Jignesh

@AnumFatima210

Hello, I came across your project Senior Full-Stack Engineer for B2B Dashboard (LLM + Scoring Engine) and I am very interested in working with you. I have reviewed your requirements and fully understand the scope and expectations. I specialize in Python, Cloud Computing, NoSQL Couch & Mongo, Node.js, AngularJS, Web Development, Full Stack Development, Vue.js, Angular, Large Language Model and have successfully delivered similar projects before. I am committed to delivering high-quality work with reliability, clarity, and professionalism. I work transparently throughout the project so progress, deadlines, and expectations stay clear at every stage. I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Regards, Anum

@ssquare489

With over five years of experience as a Senior Full-Stack Engineer, I can deliver what you're looking for in this project. Not only have I successfully executed projects in Python and Node.js (including TypeScript), but I've also built robust REST/GraphQL APIs with clean and efficient queries using PostgreSQL, which aligns with your needs. Furthermore, my recent work included integrating LLM APIs and creating scoring engines with evolving rule-sets, which I believe will prove invaluable for your project. Operating at the intersection of B2B SaaS dashboards and AI integration, I have extensive experience designing and implementing rule-based decision systems similar to what your project entails. In fact, for a recent SaaS product, I crafted a sophisticated scoring engine that accounted for numerous business rules and signals—much like the one we'd be building together. Moreover, I'm well-versed in providing modular architecture so the dashboard can accommodate changes or additions with ease over time.

@MQamar123

Hello, I'm Muhammad, an experienced and adaptable Senior Full-Stack Engineer well-versed in Python, Node.js, and React, including the TypeScript flavor. I've dabbled in multiple industries from SaaS platforms to AI projects where I've integrated LLM APIs like OpenAI successfully. One such instance involved a scoring system reliant on business rules and logic. Using this experience, I can design and implement a scoring engine that evolves as your needs change ensuring modularity and evolvability. In addition to that, my firm grasp over PostgreSQL database will be beneficial in building efficient schemas and queries for your data. Availability-wise, I understand the need for clear communication and will be available for asynchronous updates while maintaining my regular weekly schedules. As a freelancer dedicated to surpassing client expectations, I vow to bring precisely the skill set needed for this project - a blend of experience in B2B dashboards and significant expertise in scoring evaluation or rule-based logic. Let's collaborate to build an impactful dashboard incorporating advanced insights through a powerful yet user-friendly ecosystem.

@devbaloni1983

Hello, Hope everything is going well! I am a Node.js Backend Developer focused on building secure, scalable, and high-performance server-side applications. I design clean APIs that connect your mobile or web app efficiently. What I Can Build for You 1. Fully customized REST APIs 2. Authentication systems (JWT, OAuth) 3. Backend for mobile & web applications 4. Real-time chats, tracking & notifications 5. Admin panel backend with full CRUD 6. Payment gateway integration 7. MongoDB / MySQL database design Why Work With Me? 1. Clean, secure & modular code 2. Strong backend architecture knowledge 3. End-to-end backend + deployment support 4. Excellent speed & performance optimization 5. Fast communication & timely updates Let’s Discuss Share your project details — I’ll give you: 1. Best API structure 2. Timeline 3. Pricing Excited to build a powerful backend for you!

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@mkh559a5a1fd66e9

With over 14 years in full-stack development, my expertise spans a wide range of technologies that perfectly aligns with your project needs. In regards to the data-driven B2B SaaS dashboard, I bring a wealth of experience having built similar platforms with scoring and rule-based systems. Infact, my projects, using Laravel framework, n8n and Blazor, thrive on complex decision making backed by solid algorithms. I have designed scoring engines equipped for growth in various settings and know how to ensure maintainability and scalability in projects. When it comes to integrating LLM APIs, I have worked extensively with OpenAI on classification/generation tasks to seamlessly incorporate AI/ML capabilities into backend systems. From reducing latency costs to evaluating API effectiveness - I have had hands-on experience throughout the process. Alongside this, my familiarity with REST/GraphQL APIs (Node.js + Python) will be instrumental for efficient backend data processing and connection to your existing sources. Aside from skill qualifications, I am extremely collaborative; which means working effectively with founders and product leads is second nature to me. My excellent communication skills ensure efficient async updates helping everyone stay informed about the progress at each step.I am excited by the prospect of leading this four-week sprint towards a comprehensive SaaS solution that encapsulates all your requirements - Let's collaborate closely throughout!

@khurshid040462

Hi there, I am excited about the opportunity to contribute as a Senior Full-Stack Engineer for your B2B SaaS dashboard project. With extensive experience in developing modular scoring engines and integrating Large Language Models (LLMs), I understand the critical nature of this 4-week sprint. My proficiency in Python and Node.js, along with React and PostgreSQL, positions me perfectly to design and implement the scoring engine you envision. For example, I've previously created a scoring system that dynamically adapted to changing business rules, which significantly enhanced user engagement. Additionally, I have integrated LLM APIs such as OpenAI to extract insights and enrich user interactions within production environments. I am available to dedicate approximately 30 hours per week over the next month. I look forward to discussing your project further and exploring how I can help deliver an efficient and effective solution.

@thomasb726

Hi! Building a robust B2B SaaS dashboard with a scoring engine and LLM integration is an exciting challenge. Your focus on modularity and data-driven decision-making aligns with my experience in delivering scalable solutions. The concept of utilizing LLMs to enhance user experience and insights is particularly innovative, and I appreciate the clear structure and goals outlined for the sprint. The most critical challenge here seems to be designing a scoring engine that is both modular and adaptable to changing business rules. This is essential because it will determine how effectively the dashboard can evolve and provide relevant insights over time. In previous projects, I've developed scoring systems for SaaS platforms focusing on analytics and decision-making. One project involved creating a dynamic scoring engine that adjusted weights based on user interactions and data signals, leading to a 30% increase in user engagement. Additionally, I have integrated LLM APIs to generate personalized insights, which improved the overall user satisfaction scores by 25%. These experiences have equipped me with the skills needed to tackle the requirements of your project effectively. My approach would begin with collaborating closely with your team to define the business rules and the data signals necessary for the scoring engine. I would prioritize modular design, ensuring that new rules can be easily integrated. For the LLM integration, I'd focus on prompt design and handling API responses efficiently, taking care to monitor performance and cost. Throughout the sprint, I would maintain clear documentation and follow agile practices to ensure that milestones are met and the codebase remains clean and maintainable. To better tailor my approach to your needs, I have a couple of questions: - What specific types of business rules are you envisioning for the scoring engine? - Are there particular insights you want the LLM to focus on for the dashboard? Additionally, I can commit around 25 hours per week for the next four weeks to ensure we meet the sprint goals effectively. Best,

@craigd43

As a Senior Full-Stack Engineer with a strong background in full-stack web development, I believe I can make a significant impact on your project. My proficiency in both Python and Node.js aligns perfectly with your tech stack needs, as does my experience building modular, evolvable services - ensuring your scoring engine is designed to incorporate new rules and weights. Drawing from my solid understanding of PostgreSQL and data modeling, I assure you efficient database schemas, well-optimized queries, and effective evaluation for your scoring engine. As a highly communicative individual committed to asynchronous updates and occasional calls, you can rely on me for real-time project progress reports. My own independent streak means that I will document my work meticulously and handover clean, maintainable code at the end of our collaboration. To give you an assurance of my commitment to this task, over the next 4 weeks I am available for approximately 30 hours per week to put towards this project. With my skillset and dedication, you'll not only receive timely deliverables but also iterations that improve your B2B SaaS dashboard considerably. If you're looking for someone who can implement complex business rules effectively and hold up their end when it comes to rich data reporting, I'm excited to be this partner for you!

@NEHABHAT92

With over nine years of experience in web and mobile development, my team and I at Neha Technologies are highly skilled in both Node.js and web programming - two of the roles' must-have tech stacks. We've crafted several data-driven SaaS and CMS platforms before, including the incorporation of scoring mechanisms. For example, one of our recent projects involved constructing a car rental platform where users were scored based on their driving histories, payment records, and user feedback, guaranteeing only the most reliable users could access the service. In addition, we understand that when it comes to a modular scoring engine like you require, flexibility and adaptability are key. That's why our approach is centered around scalability and future-proofing your dashboard. This means designing a system that can efficiently accommodate evolving business rules in the future. While proficiency in integrating LLMs is stated as a "nice-to-have," we've worked with them extensively and are well-equipped to design the required prompt structures and handle their associated challenges. Lastly, this 4-week sprint requires reliability, open communication channels, and commitment; we have what it takes to deliver these essentials. As for our availability over the coming weeks, you needn't worry; we have adequate resources allocated for this project to ensure its successful completion within your timeframe. In summary, with Neha Technologies on board, you can rely on us t

@manpreetkaur991

Hello, I’m a senior full-stack engineer with 8+ years building production B2B SaaS platforms, and your 4-week sprint aligns perfectly with my experience in scoring systems, LLM integration, and modular architecture. Relevant SaaS experience: I recently led development of a B2B lead intelligence platform that scored companies based on behavioral events, firmographic data, and custom business rules. I designed a modular scoring engine using weighted rule objects and signal pipelines, enabling non-breaking rule updates and A/B weight adjustments. The backend (Node.js/TypeScript + PostgreSQL) exposed scores via REST APIs to a React dashboard with advanced filters and drill-downs. LLM integrations: Integrated OpenAI GPT models to summarize company profiles and generate sales insights. Implemented async job queues, caching, prompt versioning, and cost monitoring. Modular scoring approach: I would separate signals, rules, and weight configurations. Rules operate as composable evaluators, stored in DB-configurable schemas. A scoring service aggregates weighted outputs, versioned for traceability. This enables iterative tuning without refactoring core logic. Availability: 25–30 hours/week over the next 4 weeks. I value clean architecture, clear documentation, and milestone-driven delivery. I’d be excited to help you ship a robust scoring + LLM-powered dashboard sprint. Best regards.

@tocybernatesolu5

Hi, This sprint aligns well with my background in building production SaaS platforms with modular logic and LLM integrations. 1️⃣ SaaS with scoring / rule logic I built a B2B lead-intelligence dashboard where companies were scored using weighted signals (engagement, firmographics, activity events). The engine was rule-driven, versioned, and recalculated asynchronously via background jobs to keep the UI fast. 2️⃣ LLM integrations • Integrated OpenAI to summarize company profiles and generate sales insights directly inside a dashboard (latency + cost controlled via caching + async jobs). • Built a document-analysis flow using LLM APIs for structured extraction + confidence scoring in production. 3️⃣ Modular scoring engine (approach) • Core scoring service isolated from API layer • Rules stored as config (DB-driven weights + conditions) • Versioned scoring profiles • Event-driven recalculation (queue/worker) • Transparent breakdown per score for UI explainability