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Imagination. Engineered.
Imagination. Engineered.

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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me  ·  zyfolks.com  ·  linkedin  ·  email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

Project Description
Zybo AI AI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain Explorer Natural-language exploration of wallets and on-chain activity across multiple networks.
Content Studio Research, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-On Image-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 Dapps Decentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHub Internal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce Platform Commerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me  ·  LinkedIn  ·  prg@zyfolks.com

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  1. ai-footprint ai-footprint Public

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1