AI-native SaaS
Multi-tenant platforms with agentic features baked into the core flow — not bolted on after the fact.
- Next.js 14
- TypeScript
- Postgres
- Claude · Groq
- Redis
- AWS
AI-native engineer · 7 years shipping · Hyderabad
Seven years shipping production software — building AI-native SaaS at scale and agentic systems in production. Backend instincts, product taste, and the discipline to read every line that ships.

Role
Tech Lead · Product
Seven years shipping
Based in
Hyderabad
India
What I build
Seven years of shipping software. The last two, every product I touch is AI-native by default. I'm comfortable across the stack — backend, frontend, data, infra — and most comfortable when the work is technically real and the audience is real too.
Multi-tenant platforms with agentic features baked into the core flow — not bolted on after the fact.
LLM + tools + memory + guardrails. Domain agents that ship work, not chatter.
Code assistants, knowledge agents, eval harnesses for teams that ship every week.
Alumni networks, marketplaces, community platforms — where I cut my teeth across three years at Vaave.
Streaming UIs, WebSockets, presence, observability — chat & live dashboards.
APIs that age well. Schema-first. Audit trails. Boring on purpose, fast in production.
The shape of me
I started backend. Got pulled into product. Then AI rewrote what “engineer” means — and I leaned all the way in. None of the depths below are claims; they're things I can defend, with receipts in the work I've shipped.
“I haven't typed code by hand in six months. I read every line that ships.”
“Backend-first instinct. SQL is a love language. Production is sacred.”
“I design for the quiet Tuesday six months after launch — not the demo.”
“Clear goals, lots of autonomy, honest feedback, no surprises.”
Brief me
I'm not actively interviewing — I love what I'm building at Hoopstr. But I'm always up for a real conversation about an AI product worth shipping. Advisory, fractional, or a deep partnership.
Origin
Bengaluru, 2019. A full-stack intern at Xelpmoc, writing whatever the problem needed. That was the year I learned what shipping feels like — the quiet Tuesday when a real person uses something you built.
Craft
Seven years on, I read every line I ship — even when an agent writes it. The best AI products aren't built by people who fear the tools or worship them. They're built by engineers with taste, in the loop, calling the shots.
Principle
Ship things that earn interest. Decisions future-me can still defend. Products that get sharper the longer they run. That's the kind of work I want to keep doing.

In my words
The journey, at a glance
Seven years across four companies, six roles, and three Indian cities — shipping software to users on every continent but Antarctica.
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companies
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roles
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How I work
A plan you can defend beats two weeks of hacking. I spend real time on the what and the why — narrow the problem, write it down, pressure-test it. Then I get out of the way and ship.
Seven years of writing code, and I ship faster now than I ever have — because I pair with AI every day. Claude for the thinking, Copilot for the grunt work, me for the taste. I still read every line I ship.
Demos are easy. What matters is how the product feels six months in, on a quiet Tuesday, when no one's watching. That's the bar I build to.
Clear docs over long meetings. Decisions future-me can audit. A team should be able to onboard from Notion alone — and the engineers I've worked with are the real output of my career.
Where I've been
Full-stack intern → backend engineer → product engineer → tech lead. Same curiosity, bigger surface area, and now an AI-first stack.
Education
PES University
Master of Computer Applications (MCA), Computer Science · 2017 — 2020
PES Institute of Technology & Management, Shivamoga
Bachelor of Computer Applications (BCA), Computer Science · 2014 — 2017
Tech Lead · Product
Hyderabad · On-site
Leading product on Hoopstr — the AI-powered platform I spent 3+ years building at Vaave, now in its next chapter. Same product, bigger ambition: setting the roadmap, hiring well, staying close to the code, and shipping agentic systems with an engineer-in-the-loop discipline.
Team Lead · Product → Senior Product Engineer → Product Engineer
Remote / Hyderabad
Three years and eight months building the alumni network platform that became Hoopstr. Grew from IC to team lead — learned to scale a product team without losing the craft, and shipped the AI features that turned a static network into an activation engine. Continued the work as tech lead at Hoopstr.
Software Developer (Backend)
Bengaluru
Heads-down backend work. Where I learned to love SQL, to think in data models, and to respect production.
Software Engineer → Full Stack Intern
Bengaluru · On-site
My first real shipping job — across multiple venture studios. Wrote whatever language the problem needed, and learned to ship before it was perfect.
Ask me anything
A live AI chat trained on my work and voice — not a chatbot pretending to be helpful. It only answers about me.

Akash AI
first-person · streaming · grounded in real work

hey — I'm Akash AI. Ask me about my work, how I build, or whether we'd be a fit. What brings you here?
Get in touch
Working on something ambitious — product, AI, engineering leadership? I love a good conversation. The inbox below is always open.
Hyderabad · Open to conversations globally.