CS + AI/ML student
AI/ML and systems builder interested in reliable software, thoughtful evaluation, and practical research tools.
I work across LLM agents, reinforcement learning environments, evaluation systems, AI infrastructure, and applied engineering. This site collects my projects, writing, publications, and research notes as they develop.
Profile
I like problems where models, tools, data, and systems meet, especially when behavior needs to be measured carefully rather than only demoed.
I use this space as a working record of what I am building and learning: research prototypes, software projects, implementation notes, and longer-form writeups. The common thread is a preference for systems that can be inspected, tested, and improved over time.
Interests
A few areas I keep returning to while building projects and reading research.
Current research thread
An environment-grounded benchmark for evaluating reliable tool-using agents in simulated incident-response workflows. The project focuses on sequential decisions, safe tool use, partial evidence, remediation quality, and operational reliability metrics.
Writing
Research diary entries, project notes, and implementation writeups.
Why TokenScope matters for SRE-Zero, what shipped in v0.1.0 and v0.2.0, and how tokenizer inspection becomes part of reliable agent evaluation.
A managed-run report comparing plain prompting, ReAct, and guided open-source-agent control for GPT-OSS 20B on the SRE-Zero easy split.
A managed-run report comparing plain prompting, ReAct, and guided open-source-agent control for Mistral Small on the SRE-Zero easy split.