Data Engineer with 7 years of experience building batch and streaming data platforms on Azure (Databricks, ADF, Delta Lake, dbt), Kafka, Snowflake and AWS, including AI ready pipelines for ML and RAG systems. M.S. in Computer Science, Rochester Institute of Technology (May 2026).

Real Time Inventory Lakehouse · featured, in progress

Kafka → Spark Structured Streaming → Delta Lake (Bronze / Silver / Gold) on Databricks

A streaming pipeline that processes inventory events the moment they happen. Every event is counted exactly once, even when the system fails and recovers. A built in quality check quarantines bad records automatically and caught a hidden bug that was silently dropping 20% of events.

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AI Powered Financial Document Analysis

Financial PDFs → FAISS + BM25 hybrid retrieval → LangGraph agent → Llama 3.1

An AI system that reads financial reports and answers questions about the numbers inside them. It reviews and corrects its own answers before responding. It scored 41.5% on the FinanceBench test, more than double the 19% scored by GPT 4 Turbo.

→ All AI & GenAI projects

Vehicle Price Prediction with AWS CI/CD

Used car data → Train and compare models (CatBoost, XGBoost) → Flask web app → Docker → Amazon ECR

A web app that predicts the fair price of a used car from details like brand, year, mileage and accident history. Several models are trained and compared to pick the best one. Every code push automatically builds a Docker image and deploys the app to AWS through GitHub Actions.

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Data Engineering & Streaming

ML, GenAI & Cloud

• ASME FEDSM 2026: ML for instant prediction of spatial temperature variations in heat sink cooling
• Accepted abstract: AI Medical Report Analysis, an agentic Graph RAG system for heart scan severity classification
• ✍️ Blog posts on Medium