- I'm working on cloud-native AI/ML platforms, MLOps pipelines, and agentic AI systems.
- I'm looking to collaborate on open-source ML infrastructure, model deployment, and distributed cloud systems.
- I’m exploring Gaussian Splatting, Vision-Language Action Models, and distributed model serving.
- I’m currently diving deeper into Kubernetes and go.
- Ask me about MLOps, Cloud Infrastructure, or Running Models Locally.
- Fun fact: Started in finance & accounting, got too fascinated by how we taught sand to think and never looked back.
Languages:
Machine Learning & AI:
Cloud & Infrastructure:
Frameworks & Tools:
Databases & Storage:
- 🔹 Kubo AI – Real-time avatar pipeline on Red Hat OpenShift with OpenVINO Model Server and Intel-optimized inference.
- 🔹 Lerepairbot – Vision-language action model fine-tuned to control a LeRobot arm for electronics repair assistance.
- 🔹 Mira3D – GPU-accelerated Gaussian Splatting pipeline with TensorRT, FastAPI, and MLflow for 3D point cloud generation.
- 🔹 Monke – Three.js game with conversational NPCs via Lex, Bedrock, and Lambda provisioned with AWS CDK.
- 🔹 Opezy AI Copilot – Azure-native AI application stack automated with Bicep and Azure DevOps.
- 🍎 Swift Student Challenge 2024 – Apple
- 🥉 3rd Place – Red Hat & Intel AI Hackathon
- 🥉 3rd Place – HP & NVIDIA Hackathon
- 🥇 1st Place – Protothon, Northeastern University
- 🏅 Honorable Mention – Microsoft Developers AI Hackathon
- ⛓️ Best Use of Alchemy API – ETHIndia Hackathon