Document
Résumé
Aditya Raj Panjiyara
I build AI infrastructure and reliable systems across low-level Rust and production tooling. I care about infrastructure that is observable, private when it needs to be, and designed to last.
Much of my work lives at the intersection of on-device AI, knowledge graphs, and full-stack delivery — from desktop risk engines to production client sites.
Prefer a file? A printable PDF version is available for download.
Download PDFEducation
Kalinga University
B.Tech Computer Science
2021 – 2025
Roles
Org, title, focus area, and period.
Ainocular
2025 – Present
Jr. Software Engineer
Focus · Data pipelines, internal systems & web
WhatBytes
2025
Full-Stack Developer Intern
Focus · Full-stack & integrations
Webyapar Solutions
2024 – 2025
Full-Stack Intern
Focus · Databases & performance
Projects
Named work with stack. Links open when available.
ChowChow
On-device supply-chain risk engine
Independent
- Rust
- Tauri
- Ollama
- Cognee
- Knowledge Graph
Open source
Dotenv Linter
OSS
- Rust
Open source
Openverse
WordPress ecosystem
- Python
Pilo
Production full-stack application
Independent
- React
- TypeScript
- Node.js
- MongoDB
- AWS
Client site
ddecorblinds.com
Ainocular
- React
- TypeScript
- Next.js
Client site
haritindustries.com
Ainocular
- React
- TypeScript
- Responsive Design
Skills
Beyond what appears in the project stack above.
- AI infrastructure:Local LLM inference · Cost optimization · On-device systems · Cognee
- Systems & Rust:Custom traits · Tauri IPC · Knowledge graphs · Performance & reliability
- Full-stack:React · TypeScript · Node.js · PostgreSQL · AWS
- Web animations:GSAP · Framer
- Practices:End-to-end ownership · Clean architecture · Observability
Languages
- EnglishFluent
- HindiFluent