🚀 Software Engineer passionate about creating AI-driven, data-intensive, and full-stack systems that scale.
🧠 Experienced across frontend, backend, and data infrastructure with a strong foundation in algorithms and machine learning.
⚙️ Skilled in designing production-grade architectures, optimizing large-scale data pipelines, and integrating LLMs + RAG + AI agents into real-world applications.
🎯 Always exploring the intersection of AI, engineering excellence, and user experience.

Languages:
Python • TypeScript • JavaScript • C++ • Java • Scala • SQL

Frameworks & Libraries:
React • Next.js • Node.js • Express • Django • Flask • FastAPI • LangChain • PyTorch • Spark

Cloud & Databases:
AWS • Google Cloud • Vercel • Railway • MongoDB • PostgreSQL • MySQL • GraphQL • PostGIS • ChromaDB • Qdrant

Tools:
VSCode • IntelliJ IDEA • Maven • Postman • Cursor • Claude • ChatGPT • Gemini

• Building a proactive wellness engine powered by a biomedical knowledge graph.
• Engineering secure, scalable data pipelines and LLM-driven extraction/report generation systems.

• Developed a geospatial visualization platform on AWS + Angular (TypeScript).
• Designed an end-to-end raster-tile data pipeline using S3, Step Functions, and Spark with BEAST.
• Created an intelligent popup-placement algorithm, boosting user retention by 30%.

• Enhanced BEAST geospatial platform with React + OpenLayers and Scala-based APIs.
• Migrated Spark pipelines to DataFrame API, cutting runtime by 50%.
• Developed AI-driven aggregation layers to improve query accuracy and performance.

Advanced RAG assistant for ML framework docs (PyTorch, MLflow).

• Uses RRF fusion (Qdrant + SQLite FTS5) with adaptive weighting & MMR for relevance.
• Built with FastAPI + Next.js, integrated Gemini 2.5 Flash, and deployed on Railway (Dockerized).

AI tutoring platform using Ollama / Gemini API, RAG, and ElevenLabs voice agents.

• Implemented hybrid retrieval, reranking, and persistent multi-session chat via PostgreSQL.

Interactive tool analyzing 10 GB+ crime data with Scala + SparkSQL + PostGIS.

• Built map-based visualizations with React + Leaflet.js, enabling real-time spatial queries.

• LASEK: LLM-Assisted Style Exploration Kit for Geospatial Data – VLDB 2025
• FileCoin Accelerator Grant (Top 200 Teams) – $5,000 Award

When I’m not building or debugging, you’ll find me exploring LLM architectures, AI alignment, or reading about the latest developments in AI and ML ☕