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Priyansh6747/README.md
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โ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•—
โ•‘   AI SYSTEMS ENGINEER  ร—  PERFORMANCE ARCHITECT           โ•‘
โ•‘   Rust ยท WebAssembly ยท PyTorch ยท FastAPI ยท C++            โ•‘
โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•

priyansh.init()

Building at the intersection of AI infrastructure, systems programming, and full-stack product engineering. Not a web dev. Not an ML researcher. Something in between โ€” and lower down.


โšก What I Actually Build

๐Ÿฆ€ Rust ร— WebAssembly โ€” Compute at the Edge

  • Rust โ†’ Wasm pipelines with wasm-bindgen
  • Offloaded compute-heavy algorithms from JS โ†’ Rust/Wasm: 2โ€“5ร— faster
  • Reduced JSโ†”Wasm bridge calls by ~90% using shared memory buffers
  • Async execution with Tokio runtime

๐Ÿง  AI Systems Engineering

  • RAG pipelines โ€” domain-grounded retrieval, hallucination reduction via verified sources
  • Multimodal systems โ€” vision + text + voice + image recognition, all wired together
  • Vector infrastructure โ€” FAISS, pgvector, semantic search, retrieval caching
  • Forecasting models โ€” Chronos-style time-series prediction
  • Full AI system stack: model โ†’ vector DB โ†’ RAG โ†’ backend API โ†’ client

โš™๏ธ Backend & Infrastructure

  • Production APIs with FastAPI + Node.js โ€” not tutorial CRUD
  • Microservices, async task queues, caching layers
  • Docker, VPS, Linux server management, self-hosting
  • Stripe payments, Mux video streaming, Firebase sync

๐ŸŽฎ Game Development

  • Unreal Engine 5 โ€” C++ & Blueprints
  • Unity โ€” C#
  • Wave spawning, gameplay mechanics, leaderboard systems

๐Ÿ› ๏ธ Stack

Languages

AI / ML

Performance

Backend & Infra

Databases

Frontend & App

Game Dev


๐Ÿ“Š Stats


๐Ÿ“ซ Hit Me Up

Email: pstanwar6747@gmail.com


Shipping compute-heavy systems โ€” from the game loop to the inference pipeline.

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