Rushil Patra — AI Researcher

I’m a Data Scientist and Machine Learning Engineer focused on building LLM-powered products, retrieval-augmented generation (RAG) systems, and decision-support tools that actually ship and get used. I’m currently pursuing my M.S. in Data Science at Columbia University and completed my B.Tech in Information Technology (Business Informatics) from IIIT Allahabad. My work sits at the intersection of applied machine learning, large language models, and real-world business impact. At ADP, I worked as an Associate Data Scientist where I: • Built ML pipelines to summarize sales calls, chats, and case histories, improving follow-up accuracy. • Designed an LLM-based real-time assistant for client inquiries and a RAG pipeline that surfaces sales materials during calls, cutting manual lookup effort. • Developed a Trust & Safety layer for internal LLMs (prompt injection detection, PII masking, region-based model routing, toxicity filtering, logging) to make AI usage secure, compliant, and enterprise-ready. Previously at Global Industrial, I worked on B2B e-commerce analytics: performing large-scale EDA on multi-year, multi-region sales data, building customer segmentation models (K-Means, GMM), and developing time-series forecasting pipelines (ARIMA, LSTM) for SKU-level demand to support pricing and inventory decisions. I’ve also co-authored multiple peer-reviewed publications across forest-fire management with Big Data and LLMs, medical imaging (melanoma and breast cancer), ADHD/MDD detection, and diabetes risk prediction, and I’m currently exploring climate and insurance risk modeling (flood insurance pricing, biomedical waste carbon footprint). Core skills and tools: Python • SQL/MySQL • R • C++ • PyTorch • TensorFlow • Scikit-learn • LangChain • Vector Databases • RAG • NLP • Generative AI • Time-Series Forecasting • PySpark • Hadoop • Kafka • Flask • Streamlit • Big Data Analytics • Data Visualization • Geospatial & Climate Risk Modeling • Insurance & Banking Analytics. Open to opportunities as a Data Scientist, ML Engineer, AI/LLM Engineer, or Quant/Data Intern where I can own end-to-end ML/LLM solutions—from data and modeling to deployment, safety, and measurable business impact.

Stackforce AI infers this person is a Data Scientist specializing in SaaS and E-commerce analytics.

Location: New York, New York, United States

Experience: 1 yr 6 mos