I independently built and continue to expand srux.in, a student productivity platform used by 6,500+ students for timetable automation and academic utilities. I'm working on automated timetable support for all university batches.
At Infosys Springboard, I designed and developed a Python RAG-based system for querying large datasets and built data-processing pipelines using AWS services. I also implemented n8n automation workflows and explored Apache Spark concepts.
For a healthcare data query platform, I combined RAG and Text-to-SQL for natural-language analytics, replacing vector search with LLM-generated SQL for numerical and aggregation-based queries. I integrated DuckDB, AWS S3, and LLM APIs for real-time analytical query execution.
I also developed a production website for a resin art business and built projects including a certificate verification platform and an automated video generation pipeline. I co-authored a paper on anomaly detection and predictive modeling in district-level crop production data, published in IEEE Xplore.
