About

I'm currently an undergrad studying Computer Engineering with an EE minor, concentration in machine learning, where I was advised by Prof. Stephen Grossberg.

I'm a research engineer in AI Compute & LLMs Safety, neural interfaces, language modeling (NLP), and models post-training alignment. My work spans in multimodal learning with human feedback, cloud computing and signal processing.

Profile - Check my live works here!

• Github – code & projects
• Kaggle – data science & machine learning work
• Devpost – hackathons portfolio

Contact

open to work: SF/CA based & Boston locations
or connect on LinkedIn

Skills

• Languages: Python, R, C/C#/C++, PyTorch, TensorFlow, Scikit-learn, JavaScript, TypeScript
• Frameworks & Libraries: build SaaS Applications with LLM APIs/SDK deployment, LangChain/LangGraph/Hugging Face Transformers, Multi-Agent assistants/Copilot developer-toools, Hyperparameter Tuning & Inference Optimization, Embedding Models, RAG, MCP, RLHF, LlamaIndex/Ollama, Vector DB
• Tools: Git/GitHub, GitLab, CI/CD, React, Node.js, Swagger/OpenAPI, Express, APIs automation, Jest testing, CORS, Microservices, Distributed systems
• IDE integration/Debugging: VS Code, IntelliJ, GDB
• DevOps/Cloud & Databases Monitoring: Docker, Kubernetes, Vercel/Render, Supabase, MLOps, AWS, GCP, Azure, Databricks, Jenkins, PostgreSQL, MongoDB
• Networking: Socket Programming, TCP/IP Networking, HTTP/HTTPS, REST APIs, WebSockets, Network Debugging, Client-Server Architecture