At Mu Sigma, I build AI-driven analytics systems for Fortune 500 clients, turning complex medical and social data into actionable insights.
I've developed LLM and retrieval-augmented generation workflows that reduced medical-insight processing time by 80%, and AI agents using LangChain that saved 50 hours of manual work in social media analysis. I also built an NL-to-SQL inventory chatbot that improved efficiency by 90% and an AI pipeline for identifying evidence gaps across clinical indications.
My work spans Python, SQL, machine learning, NLP, computer vision, and generative AI. I've fine-tuned BERT for multiclass Twitter-profile classification and mentored five freshers in Python, ML, and NLP techniques.
Earlier, I supported Alexa NLU model accuracy at Amazon and worked with large datasets for deal categorization and recommendation systems at Dealsmela.in.
