I build systems end-to-end, cloud infrastructure, data pipelines, AI-powered APIs and production deployments. Shipped at Skyworks Solutions and Crewasis, processing millions of records daily.
AI-powered database migration engine — T-SQL to Snowflake, automated end-to-end. GPT-4 converts views and stored procedures. Zero manual intervention.
Personalized AI news platform — user-interest-driven article delivery with text-to-speech, JWT auth, playlist management, and Airflow-powered real-time ingestion every 8 minutes.
RAG pipeline over SEC filings. Nougat OCR + OpenAI for structured Q&A. JWT-secured FastAPI backend, Airflow-orchestrated ingestion, Streamlit frontend. Analysts query documents in plain English.
Natural language to SQL on Snowflake. LangChain NL-to-SQL with FastAPI backend and Streamlit UI. Non-technical teams now query the data warehouse without writing a line of SQL.
Real-time personalized news. RAG + Pinecone vector search, FastAPI microservices on GCP Cloud Run. Content refreshes every 8 minutes, personalized per user interest graph.
Serverless ELT using AWS Lambda, Glue, and Redshift for multi-regional engagement analysis. Terraform IaC + EKS autoscaling. QuickSight dashboards for marketing insight.
Spark/Databricks pipeline processing 1M+ retail transactions for trend analysis and forecasting. Grafana + OpenTelemetry tracing for proactive error detection and SLA monitoring.
Enterprise BI over 25M retail records. Kimball-style dimensional models, ADF + Alteryx ETL workflows, Power BI and Tableau dashboards deployed across 3 business units.
Lightweight C++ daemon for macOS file system and process monitoring. IPC, concurrency primitives, real-time CLI telemetry. Built and profiled with LLDB.
Pipelines that move millions of records reliably — batch, streaming, real-time. Raw ingestion to analytics-ready models.
AI features actually useful in production — RAG pipelines, NL-to-SQL, document intelligence, LLM-powered automation.
Full backend-to-cloud delivery — REST APIs, auth layers, containerized services, CI/CD that actually ships to production.
Open to full-stack, data engineering, and AI/ML roles. Comfortable at a 5-person startup and a 50,000-person enterprise. Let's talk.