At Trigent Software Pvt Ltd, I researched and cross-referenced clinical, pharmacological, and regulatory sources to ground AI healthcare tools in verified information. I also validated and documented discrepancies in enterprise automation workflows.
I built and stress-tested RAG pipelines with LangChain, LlamaIndex, and Pinecone, gaining practical insight into where retrieval-augmented systems succeed or fail at factual grounding.
In my Parkinson's disease detection project, I built and validated a hybrid classifier using stratified 5-fold cross-validation, reporting its accuracy and AUC. I also analyzed public EV-adoption and air-quality data to study policy impacts and forecast PM2.5 trends.
My background combines a B.Sc. in Statistics & Mathematics with an M.Sc. in Big Data Analytics, specializing in Generative AI. I bring that quantitative foundation to research, fact verification, and evaluation of AI-generated content.
