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Hi, I’m Ujjwal Chopra, an AI Research & Full-Stack Developer focused on building end-to-end intelligent systems. I helped develop a 91.03% duty-cycle prediction model during my time at RWTH Aachen University and am now working on real-time RAG-integrated dashboards at Zipsure.ai. I enjoy turning time-series sensor data into scalable AI solutions using Python, React, and Gemini-RAG, with a passion for sustainability and operational efficiency across industries. I collaborate with cross-functional teams to architect AI-driven solutions for EV infrastructure and other industrial applications, delivering production-ready tools from concept to deployment and continuously improving them in production environments.…Hi, I’m Ujjwal Chopra, an AI Research & Full-Stack Developer focused on building end-to-end intelligent systems. I helped develop a 91.03% duty-cycle prediction model during my time at RWTH Aachen University and am now working on real-time RAG-integrated dashboards at Zipsure.ai. I enjoy turning time-series sensor data into scalable AI solutions using Python, React, and Gemini-RAG, with a passion for sustainability and operational efficiency across industries. I collaborate with cross-functional teams to architect AI-driven solutions for EV infrastructure and other industrial applications, delivering production-ready tools from concept to deployment and continuously improving them in production environments.

Ujjwal Chopra

Full Stack Developer, Web Developer, Data Scientist, +5

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Hi, I’m Ujjwal Chopra, an AI Research & Full-Stack Developer focused on building end-to-end intelligent systems. I helped develop a 91.03% duty-cycle prediction model during my time at RWTH Aachen University and am now working on real-time RAG-integrated dashboards at Zipsure.ai. I enjoy turning time-series sensor data into scalable AI solutions using Python, React, and Gemini-RAG, with a passion for sustainability and operational efficiency across industries. I collaborate with cross-functional teams to architect AI-driven solutions for EV infrastructure and other industrial applications, delivering production-ready tools from concept to deployment and continuously improving them in production environments.…Hi, I’m Ujjwal Chopra, an AI Research & Full-Stack Developer focused on building end-to-end intelligent systems. I helped develop a 91.03% duty-cycle prediction model during my time at RWTH Aachen University and am now working on real-time RAG-integrated dashboards at Zipsure.ai. I enjoy turning time-series sensor data into scalable AI solutions using Python, React, and Gemini-RAG, with a passion for sustainability and operational efficiency across industries. I collaborate with cross-functional teams to architect AI-driven solutions for EV infrastructure and other industrial applications, delivering production-ready tools from concept to deployment and continuously improving them in production environments.

Available to hire

Hi, I’m Ujjwal Chopra, an AI Research & Full-Stack Developer focused on building end-to-end intelligent systems. I helped develop a 91.03% duty-cycle prediction model during my time at RWTH Aachen University and am now working on real-time RAG-integrated dashboards at Zipsure.ai. I enjoy turning time-series sensor data into scalable AI solutions using Python, React, and Gemini-RAG, with a passion for sustainability and operational efficiency across industries.

I collaborate with cross-functional teams to architect AI-driven solutions for EV infrastructure and other industrial applications, delivering production-ready tools from concept to deployment and continuously improving them in production environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Research Intern — Founder’s Office at Zipsure.ai (Zipbolt Innovations Pvt. Ltd.)

February 1, 2026 - Present

Hybrid role: deployed YOLOv8s object detection pipeline on AWS ECS/EC2; stored raw and segmented imagery on S3; integrated Gemini AI as a post-processing layer for automated report generation at scale. Built and deployed a Gemini-RAG integrated dashboard ingesting live time-series data from AWS, developed with React, Next.js, FastAPI, and Python; hosted on Vercel. Collaborated with the Founder’s Office to architect AI-driven sustainable solutions for the Indian EV infrastructure market.

Machine Learning Research Intern at RWTH Aachen University – IFAS Institute

January 1, 2025 - July 1, 2025

Independently designed and built a machine learning pipeline to predict duty cycles of construction excavators from time-series sensor data. Applied resampling, interpolation, windowing, and feature extraction on raw sensor data, followed by RFE-based feature selection prior to model training. Achieved 91.03% classification accuracy using XGBoost with RFE feature selection — the best result among all evaluated models. Documented findings and methodology in a bachelor’s thesis.