Faiz Zameer

I’m a software intern focused on building practical AI and full-stack systems that improve speed, traceability, and reproducibility. In my ISRO-URSC internship, I developed an automated ML-assisted analysis and reporting tool in Python that reduced manual data processing and comparison effort by ~70%.

I also worked on an agentic, multi-agent AI system with explicit state management and structured JSON workflows, improving workflow traceability and reproducibility by ~60%. I built a Social Media Trend Monitor analyzing 1,000+ records with hashtag frequency analysis and visualization dashboards for real-time trend identification.

On the product side, I engineered full-stack AI applications using React.js, Node.js, and MongoDB, adding dynamic workflows, logging, and metrics dashboards that reduced manual monitoring and debugging effort by ~50%. My projects range from Huxler (Next.js + AWS S3 + PostgreSQL/Redis with real-time messaging) to UndertriAI, where I trained a sequential 10-action RL environment for bail-case reasoning and improved rewards across curriculum stages.