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rishiraj38/README.md

Rishi Raj β€” Open source, systems in Go, machine learning

Portfolio LinkedIn LeetCode Meshery


πŸ‘‹ About me

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.

  • πŸ”­ Building quiver, a vector database in pure Go
  • 🧠 Working through a long-term ML roadmap: maths, classical ML, deep learning, research papers
  • 🀝 Open to internships in backend, infra and ML engineering

πŸ’Ό Experience

CNCF

LFX Mentee Β· CNCF / Meshery Β Β·Β  2026 Term 2
Models Support for OCI Registries Β· Linux Foundation Mentorship

Added support for storing and distributing Meshery models through OCI registries, so models can be pushed and pulled the same way as container images.

  • Built OCI/ORAS-based model registry support in Meshery
  • Worked hands-on with the OCI spec: blobs, manifests, digests, media types and multi-platform images
Meshery

Maintainer Β· Meshery (CNCF / Layer5) Β Β·Β  Graduated 2026
Meshery UI Β· Meshery Cloud Β· Kanvas Β· Sistent Β· Schemas

  • 300+ PRs reviewed, 100+ merged as maintainer, 100+ of my own PRs merged
  • Led the permission-shield migration across Meshery UI, Meshery Cloud and Kanvas, moving permission checks into Sistent so consumer repos only pass a permission key and action
  • Drove the "evaluate design" permission key end to end, from meshery/schemas to meshery/meshery

πŸš€ Featured Projects

Vector database written from scratch in Go with zero third-party dependencies. HNSW index, write-ahead log with group commit, snapshots and crash recovery.

  • 0.99 recall@10 at ~3.8k QPS per core on SIFT1M, between FAISS and hnswlib
  • Hand-written ARM64 NEON kernels, 2.5Γ— faster than compiled Go
  • Group commit took durable writes from 420 to 14,900/sec

Β Live demo β†’

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.

  • Auto-posts top stories as an Instagram carousel
  • Runs on a GitHub Actions cron, no server to babysit
  • Next.js dashboard with Clerk auth and Prisma

Β Live β†’

Finalist, Meta Γ— Hugging Face OpenEnv Hackathon. Built two reinforcement learning environments: Smart City Emergency Dispatch and Email Triage.

  • Five-component reward and Dijkstra-based dispatch routing
  • SFT + GRPO training pipeline targeting Qwen2.5-7B-Instruct

AI mock-interview platform that runs realistic interview sessions and gives feedback on your answers.

  • Full-stack app with Next.js frontend and Express API
  • Prisma on NeonDB serverless Postgres

Β Live β†’


πŸ› οΈ Tech Stack

Languages

Cloud Native & DevOps

Backend & Data

AI / ML

Frontend


πŸ† Achievements

Certified Meshery Contributor
  • πŸŽ“ LFX Mentee, CNCF – Meshery: Models Support for OCI Registries (2026 Term 2)
  • πŸ›‘οΈ Former Meshery Maintainer: 300+ PRs reviewed across the project
  • πŸ… Certified Meshery Contributor, Layer5
  • πŸ₯ˆ Finalist, Meta Γ— Hugging Face OpenEnv Hackathon
  • πŸ’» LeetCode: 1551 contest rating, 360+ problems solved

πŸ“Š GitHub Activity

GitHub Stats Β  Top Languages

GitHub Streak Stats

GitHub Contribution Snake


Let's build something. Reach out on LinkedIn or check out my portfolio.

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