MS Computer Science @ Northeastern, graduating May 2026.
I work across data science, machine learning, and applied AI building things that go to production and that people actually depend on. Most of my time outside class goes into shipping something, contributing to open source, or figuring out why a model that worked yesterday doesn't work today.
Currently based in Boston. Looking for New Grad roles in AI/ML engineering, data science, or full-stack SWE starting May 2026.
- Taking messy, real-world data and figuring out what it actually says before touching a model
- Building ML systems that are reliable enough for real users not just accurate on a benchmark
- Agentic AI and LLM pipelines that solve problems people actually have
- Open source : I build things in public and care about documentation and test coverage
Python is where I live. For ML it's usually PyTorch or scikit-learn depending on the problem. For LLMs I've worked with OpenAI, Anthropic, Gemini, and LLaMA and I've built with LangChain and MCP. On the backend side FastAPI and Flask, React and TypeScript for frontend when needed. GCP and AWS for deployment, PostgreSQL and MongoDB for storage, MLflow and DVC when experiment tracking actually matters.
- Finishing my last semester at Northeastern
- Contributing to rewildingCities open-source climate resilience platform (NU Launch Labs)
- Open to roles starting May/June 2026
