AI/Research Engineer building systems that actually work in the real world flood prediction models, LLM-driven agents, and open benchmarks for evaluating AI behavior. Currently at IIIT Lucknow (MS, AI & ML).

I care about research that ships.

Regulatory AI & RAG Systems Building retrieval-augmented AI applications that transform complex regulatory documents into searchable, explainable knowledge systems. Developed an RBI Regulatory RAG Chatbot for compliance-focused question answering and regulatory intelligence.

Machine Learning & Data Science Projects Developing end-to-end ML, NLP, and analytics solutions across risk intelligence, forecasting, and real-world datasets. Maintains a growing portfolio of Kaggle projects covering predictive modeling, NLP, and data-driven decision making.

Flood Prediction & Environmental Intelligence Building flood forecasting models using rainfall, soil moisture, terrain, and hydrological features for district-level risk assessment.

AI Research & Benchmarking Designed deterministic agent environments and evaluation frameworks for LLM benchmarking and simulation research. Finalist at the Meta PyTorch OpenEnv Hackathon.

• Building a consumer complaint risk analytics pipeline using CFPB complaint data
• Expanding the project with narrative-based risk detection using NLP techniques
• Open to collaborations on risk analytics, compliance analytics, and applied machine learning

Core: Python · PyTorch · HuggingFace · scikit-learn · XGBoost Infra: FastAPI · Docker · MLflow · AWS Data: SQL · Power BI

• 🏆 Finalist — Meta PyTorch OpenEnv Hackathon
• 🏛️ Data Science Intern — Climate Resilience Observatory, Govt. of UP
• 🔬 Research Assistant — Bangalore University
• 🧠 Kaggle Expert

Open to AI/Research Engineer roles remote or onsite.

LinkedIn · Kaggle · Website · sridip.zui@gmail.com