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$20 USD / tunti
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India (3:36 ap.)
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Liittyi toukokuuta 19, 2024
$20 USD / tunti
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I’m a Computer Science graduate specializing in AI and Machine Learning, with hands-on experience in automation, API integration, and AI-based workflows. I build smart automation systems using tools like n8n, Python, and JavaScript to connect apps, trigger workflows, and reduce manual work. I’ve also worked on projects combining AI and automation for data extraction, web scraping, and workflow optimization. My goal is to create efficient, scalable solutions that make business processes faster and smarter.
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Kokemus
Data Engineer
helmik., 2025 - Esittää
•
11 kuukautta, 14 päivää
Relu Consultancy
helmik., 2025 - Esittää
•
11 kuukautta, 14 päivää
Worked on building automation workflows using n8n to connect APIs, process data, and trigger intelligent actions across different systems. Designed and deployed scalable workflows for web scraping, data transformation, and AI-powered automation. Integrated third-party SaaS tools using REST APIs and OAuth2, reducing manual work and improving efficiency. Created automation pipelines that connected AI models, databases, and web services to deliver end-to-end smart solutions for clients.

Eluru, India
helmik., 2025 - Esittää
•
11 kuukautta, 14 päivää
Koulutus
Chandigarh University
2021 - 2025
•
4 vuotta
Bachelor of Engineering in Computer Science - AI & ML

India
2021 - 2025
•
4 vuotta
Pätevyydet
NPTEL
2023
IIT Ropar
Completed various NPTEL certifications in Python and Artificial Intelligence from IIT Kharagpur, gaining a strong understanding of Python programming, data handling, and problem-solving using real-world examples and assignments.
2023
Julkaisut
Generating Realistic Images Through GAN
2025
IEEE
Developed a system using generative adversarial networks (GANs) to produce highly realistic images. The study designed a generator network and a discriminator network that trained adversarially: the generator creates synthetic images, and the discriminator judges whether they’re real or fake. Over time, the generator improves until the images are almost indistinguishable from real ones. The experiments showed strong visual quality, good diversity of outputs and a stable training process.
2025
Controlling Mouse Cursor through Eye Movement
2025
IEEE
Developed a real-time system that tracks eye movement and translates gaze into mouse cursor control. Utilized computer vision and machine learning techniques to detect eye position, map it to screen coordinates, and allow hands-free cursor operation. Demonstrated usability, accuracy, and latency measurements in testing.
2025
Performance Evaluation of Machine Learning Algorithms for Prediction of Cardiac Failure
2023
IEEE
Led a study evaluating multiple machine-learning algorithms to predict cardiac failure using clinical/health-data features. The research compared models like logistic regression, decision trees, support-vector machines and ensemble methods, assessed their performance based on accuracy, recall, precision and AUC, and identified which algorithms work best in this medical-prediction context.
2023
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