Hi, I'm Motyar 👋

Senior Back-End Engineer · AI Systems Architect · SaaS Founder

I am a senior back-end engineer, AI systems architect, and serial SaaS founder with 15+ years of turning ambitious product ideas into production-grade, revenue-generating software.

My first SaaS was acquired for over 10× ARR — bootstrapped from zero, no outside capital. Today I run ZenMic, an AI Podcast Generator that has powered 5,000+ episodes for creators worldwide and is growing at 20% month-over-month.

• 📍 Jaipur, India · building in public since 2011 → @motyar
• 🔧 Full-stack from database schema to CI/CD — one engineer who owns the whole stack
• 🤖 Autonomous AI agent systems are my current deep focus — self-improving, serverless, zero ops
• 🚀 Bootstrapped → acquired → building the next one
• 🏆 320+ GitHub stars · 47+ repos · code running on 5 continents

"I don't just write code — I architect systems that keep working long after I'm done with them."

From idea to published podcast episode in under 3 minutes. No mic, no studio, no editing.

ZenMic converts any text, topic, or blog post into a polished, ready-to-publish audio podcast using AI — multi-voice Neural TTS conversations, instant publishing, and a built-in SEO flywheel that generates organic traffic automatically.

• ✅ Topic-to-podcast in under 3 minutes — end-to-end AI pipeline
• ✅ Multi-voice AI conversations (male + female Neural voices)
• ✅ Public REST API with key management and rate limiting
• ✅ Built-in SEO & content marketing intelligence pipeline
• ✅ Fully automated content engine — runs without manual intervention

🔗 zenmic.com · Private repo — happy to walk through the architecture on a call

💰 SaaS Exit: 10× ARR Multiple
Built, grew, and sold my first bootstrapped SaaS — acquired for over 10× ARR. No investors. No co-founder. Proof that a single focused engineer can build something buyers pay a premium for.

🤖 Autonomous AI Systems — Shipping the Future Now
In 2025–2026 I have been systematically designing and publishing open-source AI agent frameworks: self-improving codebases, personal AI assistants, and fully automated business intelligence pipelines — all running on zero infrastructure via GitHub Actions. This isn't theory; these systems run daily, commit results to repos, and improve themselves.

🔄 Consistent Shipping Record — Over 15 Years
From jQuery plugins adopted in thousands of WordPress themes, to Go REST APIs forked by hundreds of developers, to a live AI SaaS with paying customers — the pattern is consistent: I ship things people actually use.

📊 Open Source Impact
320+ GitHub stars · 47+ repositories · code running on 5 continents.

This is where my head has been since 2025. Every project below runs on zero servers — pure GitHub Actions — and several are running live right now, committing new results every day.

Your codebase improves itself. 24/7. No human required.

An autonomous agent loop powered by Google Gemini and GitHub Actions. Every scheduled run picks the next pending task from a work queue, executes it using specialized AI agents (Engineering, Marketing, Research, Strategy), saves results, and automatically queues the next task — creating a self-sustaining development loop you can point at any project mission.

• ✅ Fully self-directing: reads mission → executes → plans next step → repeats indefinitely
• ✅ Role-aware agents: CEO (strategy), Engineering, Marketing, Research
• ✅ Collective memory that grows with every run
• ✅ Zero infrastructure — just GitHub Actions + Gemini API

A self-aware AI that lives in your GitHub repo, talks on Telegram, and gets smarter with every conversation.

A personal AI assistant powered by GPT-4o-mini that runs entirely on GitHub Actions, communicates through Telegram, and maintains persistent memory via Git commits. It knows who you are, remembers your preferences, and can create GitHub issues/PRs to improve its own code — a genuinely self-improving system.

• ✅ Persistent identity: soul, memory, and user profile all stored in version-controlled markdown
• ✅ Continuous mode: stays active up to 6 hours with ~10-second response times
• ✅ Self-improving: autonomously creates issues and PRs to evolve its own codebase
• ✅ Extensible skills system — add a capability with a single markdown file

A Telegram bot that runs on GitHub Actions and can execute real shell commands from natural language — "show disk usage", "list files", "create a directory" — while also maintaining persistent memory across sessions. Built entirely in shell script with jq.

• ✅ Natural language → shell command execution (with safety guardrails)
• ✅ Three-layer memory: reflections (soul.md), events (memory.md), user profile (user.md)
• ✅ Self-updating memory committed back to the repo automatically

Daily competitive intelligence — fully automated, committed to your repo, zero ongoing cost.

Scrapes HackerNews and Reddit for pain points, performs Google Autocomplete keyword expansion (alphabet-soup method), opportunity-scores every keyword, and commits timestamped JSON/CSV/Markdown results to the repo every morning at 6 AM UTC. It's been running continuously and producing fresh research every single day. No dashboard. No VPS. No bill.

• ✅ HackerNews trending topics + Reddit community pain-point scraper
• ✅ Long-tail keyword research via Google Autocomplete (no API key required)
• ✅ Opportunity scoring (0–4) and persistent SQLite keyword database
• ✅ Configurable niche, subreddits, and seed keywords — clean structured output to output/

A serverless Telegram bot that runs entirely inside GitHub Actions — no server, no Docker, no npm install. GPT-4o-mini for natural language understanding, full GitHub issue & PR management, persistent conversation memory, and a clean skill-registry pattern — add a new capability by adding one object to an array.

Fully automated LinkedIn PDF carousel generator. GPT-4o-mini generates content ideas and copy daily via GitHub Actions, renders professional PDFs across 5 colour themes, and delivers to Telegram for one-tap posting. Setup once, runs forever.

Transcribes audio and generates TikTok/Reels-style MP4 with animated subtitles — entirely on GitHub Actions with zero API costs. Local Whisper + FFmpeg + three subtitle modes: chunk, word, karaoke.

A full-featured, enterprise-grade Loyalty Management System backend built with NestJS (TypeScript) and PostgreSQL — the kind of architecture you'd spend months and a team budget to build. This is a client-engagement reference implementation.

• ✅ Multi-tenant architecture with strict per-client data isolation
• ✅ Dual auth: JWT for users + API key auth for third-party integrations
• ✅ Role-based access control: SuperAdmin · ClientAdmin · ClientStaff · Customer
• ✅ Campaigns engine, loyalty rules, points calculation, race-condition-safe redemption
• ✅ Swagger/OpenAPI docs · rate limiting · full audit trail — production-ready out of the box
• ✅ Stack: NestJS · TypeScript · PostgreSQL · TypeORM · Passport · Docker

This repository demonstrates exactly the quality and architecture I bring to client engagements.

Plug-and-play jQuery plugin for smooth firefly particle effects. Adopted by WordPress themes and websites worldwide — including a commercial Yootheme template.

158 ⭐ · 56 forks

Clean, production-ready full CRUD REST API in Go backed by MySQL. A go-to starter template for developers — one of my most-forked repos.

55 ⭐ · 19 forks

Lightweight real-time chat using HTML5 Server-Sent Events and TailwindCSS. Push-based server communication with no WebSocket overhead.

26 ⭐ · 8 forks

Turn any Markdown file into a Reveal.js presentation with themes, transitions, and a live editor. Zero install — paste your markdown and present. Live at motyar.github.io/markshow.

4 ⭐ · Topics: markdown markdown-editor revealjs

The right engineer isn't just someone who can write code — it's someone who has shipped products, sold products, and understands that business outcomes matter more than clever abstractions. That's me.

• 🧱 "We need an MVP built fast" → I architect and ship from zero to production. No hand-holding. No bloated process.
• 🤖 "We want AI features" → I've shipped GPT-4o, Gemini, Whisper, and Azure Neural TTS in production — and I build autonomous pipelines, not just API wrappers.
• ⚙️ "We need an AI agent or automation pipeline" → This is my current deep specialty. Self-improving systems, serverless bots, and zero-ops automation that runs indefinitely.
• 🏢 "We need an enterprise-grade backend API" → Multi-tenant, role-based, documented, tested, production-hardened. See lms-test.
• 🔌 "We need a solid REST API" → Built and maintained them in Go, NestJS, Node.js, and PHP at multiple scales.
• 📈 "We need content or marketing automation" → Fully automated pipelines running 24/7 with zero ongoing ops are literally what I build for fun.
• 🚀 "We need someone to own a project end-to-end" → That's the only way I work. I deliver working software, not tickets closed.
• ⚙️ "Our codebase is a mess" → Technical audits, refactors, and architectural improvements — I've untangled it all.

I take on a small number of engagements at a time — by design. Every client gets real attention, real communication, and real results delivered on time.

If you're looking for a senior engineer who has built, scaled, and sold a product, and who brings that founder mindset to every client project, let's talk.

→ Reach out on X: @motyar
→ Or open an issue on this repo

I respond to every serious inquiry within 24 hours.

Shipping since 2011 · Jaipur, India · Available for select engagements