Co-led the design and development of a personalized GenAl CoPilot for Career Guidance using GPT-based LLMs and feedback loops, delivering 1M+ career sessions for blue-collar workers.

Built end-to-end GenAl applications using LangChain & LangGraph and delivered internal workshops and reusables to 50+ data scientists.

Led the 2023 winning team with an RAG-powered Agentic Al solution for workforce upskilling, built a GPT-based chatbot, and advocated for Responsible Al principles.

Replaced 6-hour PDE simulations with FNO-based Scientific Deep Learning surrogate, delivering <1 minute latency (99%+ improvement), trained using Distributed Data Parallel (DDP) on Azure ML.

Achieved <1% loss on 3D pressure/saturation field reconstruction using only 100 simulated scenarios.

Led Microsoft OSS contribution for GPU-accelerated credit risk modeling using RAPIDS and LightGBM.

Built an NLP pipeline for a global lens brand with custom NER, BERT-based aspect sentiment, and semantic clustering.

Reduced manual document extraction costs by 70% with custom OCR + NLP system.

Delivered insights that directly drove 15-20% customer satisfaction improvement.

Optimized manufacturing line performance by applying evolutionary algorithms on a digital twin simulation, discovering optimal robotic travel time configurations and significantly improving throughput and efficiency.

Built a real-time correlation engine to map frequent industrial downtimes to alarm bursts from hundreds of hourly events, enabling predictive diagnostics and minimizing unplanned disruptions.

Designed and deployed a personalized health analytics system using Association Rule Mining, uncovering patterns in diabetes and blood pressure trends across individual customer journeys, influencing targeted health interventions.

Identified opportunities and developed trading strategies through research and back testing.

Worked with technical chart patterns and statistical methods.

Tracked the prevailing macroeconomic conditions, supply-demand scenario, central bank activities, geopolitical situations, and other markers like currencies and equities to predict the market movement.

Analyzed market trends and execute effective trading strategies with strict risk management considering macroeconomic factors, arbitrage with correlated entities, and analyzing FED and USDA reports.