Parth RohitSoftware engineer building AI-native systems you can trace, test and trust.

First Class Honours Computing Systems graduate building tested products across Python, TypeScript, APIs, distributed state, financial workflows, and cloud platforms.

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Résumé

Python
TypeScript
FastAPI
React
SQL + PostgreSQL
Cloudflare Workers
Workers AI
RAG + embeddings
Docker
Microsoft Azure
GitHub Actions
pytest + Playwright

(Approach)

Iturnmessyreal-worldproblemsintoreliable,inspectablesoftware.Failurepaths,stateownershipandtestsarepartofthedesign,notanafterthought.

users supported: 50+
hours/month automated: 10+
peers mentored: 15+
years on the Dean's List: 2

Selected work⁽⁰⁴⁾

Four systems, each built around evidence. Every diagram is live and shows what the system actually does.

01 / 04Live

LYTA

An edge-native workspace with persistent files, cited retrieval, and resilient streaming.

Keeps a reusable document library across conversations, so users do not upload files and rebuild their context from zero each time.

TypeScript
Cloudflare Workers
Durable Objects
Workers AI

Read the case study

02 / 04Pre-alpha prototype

PARTHA

Repository intelligence that turns fragmented codebase knowledge into structured evidence.

Gives engineers and AI tools one reusable source of truth for a codebase, so architecture, dependencies and technical context do not have to be re-derived for every task.