I’m a Principal Developer Advocate at MongoDB, focused on helping developers build modern applications with AI, vector search, and database technologies. I specialize in developer enablement, technical education, and hands-on workshops that bring MongoDB’s capabilities to life.

• 🔹 Developer Enablement – Creating resources for MongoDB users to master data modeling, aggregation, and AI-powered applications.
• 🔹 AI & Vector Search – Exploring AI use cases with RAG (Retrieval-Augmented Generation), vector search, and AI-powered assistants.
• 🔹 Open Source & Sample Projects – Building sample applications, boilerplate projects, and labs for developers to experiment with.
• 🔹 MongoDB Developer Days – Designing engaging technical workshops to help developers improve their MongoDB skills.
• 🔹 AI Assistants – Developing AI-powered tools for knowledge management, recruitment, and gamified learning.

💾 Databases: MongoDB, Atlas Vector Search, PostgreSQL (when necessary)
📡 Backend: Node.js, Express.js, Python (Flask)
🎨 Frontend: React, React Native, Tailwind CSS
⚙️ DevOps: GitHub Actions, Vercel, Terraform (for MongoDB deployments)
🧠 AI & ML: OpenAI API, GPT-NeoX, RAG-based systems

I deliver technical talks, workshops, and blog content on MongoDB, AI, and modern application development. Some highlights:

• 🟢 AWS re:Invent – Lightning talk on the Evolution of Data to Intelligence
• 🟢 MongoDB Developer Days – Hands-on training sessions for developers
• 🟢 GitHub Blog – Writing about AI, vector search, and database best practices

• 🕵️ AI-Powered Recruiting Assistant – A tool that enhances job matching with AI.
• 📌 SA Enablement Dashboard – A system for tracking SA training progress.
• 🔍 Fraud Detection in Banking – A sample app demonstrating fraud detection with MongoDB - [MongoDBank.com(https://mongodbank.vercel.app)
• 💬 DeepDJT - Chat with AI POTUS
• 🆒 MermaidGPT - Build Mermaid Diagrams with descriptive statements
• 🗺️ AI Project Mapper - Generate LLM-friendly project summaries to help AI assistants understand your codebase.
• 🧠 MongoDB-RAG - This library enables developers to efficiently perform similarity search, caching, batch processing, and indexing for fast and accurate retrieval of relevant data.

• 💼 LinkedIn
• 🐦 Twitter/X
• 📧 Reach me via GitHub Discussions or Issues!