I build data infrastructure that people can actually rely on. Pipelines that do not break silently. Transformation layers that stay consistent. Systems that scale without requiring someone to babysit them.
Currently embedded with Johnson & Johnson via LTI Mindtree, building enterprise data reliability and access automation systems. Previously the sole data and AI engineer at TripForCure, designing the full data platform across 31 hospital locations before handing it off to a QA team.
Languages
Data Engineering
Platforms & Databases
Cloud & DevOps
Analytics & BI
AI & ML
End-to-end ELT pipeline on Snowflake and dbt with Medallion Architecture — staging, intermediate, and mart layers — to ingest multi-source hospital and claims data. Automated quality checks covering freshness validation, null detection, and duplicate identification. Airflow orchestration with custom anomaly monitoring to surface SLA breaches and data inconsistencies.
Fault-tolerant streaming pipeline ingesting and processing financial market data in real time. AI-powered anomaly detection reduced fraudulent transaction detection from hours to seconds. Portfolio risk models (VaR, CVaR, Sharpe/Sortino Ratio) improved assessment accuracy by 23% over traditional batch methods.
Four-agent AI system — code search, task recommendations, learning guidance, and real-time assistance — with shared context across all agents. OpenAI LLMs integrated with ChromaDB vector search via FastAPI for semantic knowledge retrieval across enterprise codebases.
Automated the full DCF valuation pipeline from API ingestion through 5-year forecasting and peer benchmarking, eliminating 10 hours of manual modeling per valuation cycle. Power BI dashboards with scenario-driven recommendations — analysis of Adobe (ADBE) surfaced a -53% downside signal.
Full-stack interview preparation platform with a dynamic interview simulator generating role-specific questions, an AI-powered resume analyzer with quality scoring, and a progress dashboard tracking improvement over time.
🎓 M.S. Information Systems — Northeastern University (2023–2025)
🎓 B.E. Electronics & Telecommunications — University of Mumbai, VESIT (2019–2023)
Open to Data Engineer, Analytics Engineer, and Data Platform roles. Building at the intersection of reliable data infrastructure and applied AI.

