I'm a third-year CS & AI student at Newton School of Technology who likes building things from the ground up and understanding how they actually work underneath.
I spent a good chunk of my time in open source as a maintainer across Meshery (a CNCF project), and did my LFX mentorship there adding OCI registry support for Meshery models. These days I'm writing systems code in Go, like a vector database built from scratch, and going deep on machine learning.
- π Building quiver, a vector database in pure Go
- π§ Working through a long-term ML roadmap: maths, classical ML, deep learning, research papers
- π€ Open to internships in backend, infra and ML engineering
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Vector database written from scratch in Go with zero third-party dependencies. HNSW index, write-ahead log with group commit, snapshots and crash recovery.
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Autonomous news pipeline that runs unattended every day. It pulls ~400 articles from 13 sources, summarises them with an LLM, ranks them per subscriber and sends a personalised email.
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Finalist, Meta Γ Hugging Face OpenEnv Hackathon. Built two reinforcement learning environments: Smart City Emergency Dispatch and Email Triage.
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AI mock-interview platform that runs realistic interview sessions and gives feedback on your answers.
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Let's build something. Reach out on LinkedIn or check out my portfolio.





