🚀 I'm a full-stack LLM-focused developer with 2+ years of experience building production LLM applications and intelligent systems that actually get used — from AI-powered automation platforms and conversational agents to machine learning pipelines and analytics tools at Dell Technologies.
🧠 Passionate about working on innovative ideas, early-stage projects, open-source tools, and startups. Looking to join hands-on efforts that blend AI with real-world utility.
💬 You'll find me at startup talks, conferences, hackathons, and developer communities — I've contributed to projects like PrivateGPT and was invited to speak at a national Google Apps Script hackathon with 1,000+ participants.
- 🔍 A Retrieval-Augmented Generation (RAG) backend using LangChain + FastAPI, hooked into ServiceNow and Splunk to automate IT worknotes
- 🤖 A Rasa chatbot platform serving 1k+ users daily with dynamic API-driven responses and an end-to-end CI test suite
- 📊 Dashboards and ETL pipelines to track LLM usage trends across internal teams, backed by PostgreSQL and Redis
- 🧠 A side project LLM agent that turns natural language into SQL queries (useful for analytics & banking data)
Languages: Python, JavaScript, TypeScript, Java, C++, SQL
Frameworks: FastAPI, React, LangChain, Rasa, TensorFlow, Keras
DevOps: Docker, Kubernetes, GitLab CI/CD, Google Cloud
Databases: PostgreSQL, MSSQL, Redis, Firebase
Other Tools: ServiceNow API, OAuth 2.0, Airflow, Splunk, Power BI, Postman
- 🏅 Top 3 – Dell Hack2Hire Hackathon
- 🥇 Finalist – Monash Hackathon (built a parking app with Angular & Firebase)
- 🧑🏫 Invited speaker – Google Apps Script Hackathon (2024)
- 📚 Monash High Achiever Merit Scholar (2020–2023)
- 🛡️ GIF Encryption Library – Published on PyPI with C++/Qt GUI
- 📈 Real-Time Satellite Data Pipeline – Kafka → PySpark → MongoDB → live visualization
- 🧠 Kaggle Competition – Top 8 in image classification using CNNs, RNNs, GANs