01
Graduated as top of batch, receiving Gold Medal for academic excellence
RECOGNITION
AVAILABLE
OPEN TO SELECT ENGAGEMENTS · 2026
Building Productsfor Businessesthat want to grow.
Senior Product Engineer · AI Engineer · Tech Lead · Cofounder & CTO with 5+ years architecting enterprise-scale systems generating $70M+ in combined revenue, handling 280M+ API requests/month, and serving 150+ enterprise clients.
$70M+
Revenue generated
280M+
API requests / month
150+
Enterprise clients
5+ yrs
As Lead Architect
ABOUT
A senior engineer who ships.
I'm a Technical Lead and AI Engineer who spends most days architecting distributed systems that survive real production load — banks onboarding millions of users, crypto desks indexing trillions of rows, AI agents classifying nine hundred thousand items overnight or shipping an entire product in a month.
The work tends to look quiet on the outside: fewer demos, more uptime. Cleaner pipelines. APIs that used to take 94 seconds now take 2.4. Costs that used to scare CFOs, halved.
I've led engineering on products that have generated $70M+ in combined revenue, and I'm happiest when the the company “makes money” and the actual job is closer to resident thinker and problem solver than a classic engineer.
LOCATION
Remote · Available Worldwide
ROLE FIT
Senior Product Engineer · Tech Lead · Staff Engineer · AI Architect · Cofounder & CTO
ENGAGEMENT
Full-time · Fractional · Advisory
SELECTED WORK09 CASE STUDIES
Things I have shipped.
EXPERIENCE6 ROLES · 2021–2026
Where the systems lived.
OCT 2025 - PRESENT · REMOTE
Senior Product Engineer / Tech Lead
at The Product Highway
Leading, architecting and developing multiple enterprise systems from scratch, including ViddyScribe (Won Gemini App of the Year), Cerebellum Academy, Scuderia Car Parts, and Grayporter, generating combined revenue over 50 million USD.
- Leading, architecting and developing multiple enterprise systems from scratch (ViddyScribe (Won Gemini App of the Year), Cerebellum Academy, Scuderia Car Parts, Grayporter) generating combined revenue over 50 million USD.
- Engineered an AI agent to automatically determine HTSUS codes for over 900,000 items with 96% accuracy, saving thousands of hours in manual work.
- Developed a custom domain-specific chatbot that increased sales by 16% and reduced cart abandonment by 31% since launch.
- Built custom AI models to improve sales performance, increasing conversion rates from 27.6% to 32.1%.
↳ TOOLKIT · 05 DOMAINS
The toolkit,
by domain.
ACHIEVEMENTS4 ENTRIES
A few things worth noting.
02
Placed First in Hack-day, sponsored by Amazon-Alexa
RECOGNITION
03
President of Association for Computing Machinery (ACM)
RECOGNITION
04
Mentoring underprivileged kids for Devsnest Organization
RECOGNITION
WRITING4 ESSAYS · CITED
Notes from production.
- 01
Deploy Your Own Models to GPUs
A 2026 operator playbook: when self-hosting wins, which inference engine to pick, the GPU buying matrix, quantization that actually works, and the four metrics you autoscale on.
LLMsInferenceGPUvLLM - 02
How to Think About Product
The engineer-as-tech-lead view of product thinking — why most roadmaps are theatre, how the engineer gains leverage on what to build, and the discipline of writing your "no" list in public.
ProductEngineering LeadershipStrategy - 03
How to Think About Systems
Notes from operating distributed systems at scale: where leverage lives, why root causes are a coping mechanism, and the architecture diagrams nobody draws but everyone runs.
SystemsArchitectureReliabilityEngineering - 04
Practical vs Theoretical Agentic Systems
Most production wins called "agents" are workflows with one tool-calling node. A field report on what actually ships, where the loops break, and why MCP — not the planner — was the real unlock.
Agentic AILLMsMCPEVALS
PRAISE5 VOICES · SCROLL TO ADVANCE
Words from people I've shipped with.
THE DECK BELOW PEELS AS YOU SCROLL↓
↳ NOW READING
01 /05
0% THROUGH
№ 001
“
I've worked with engineers who use every AI tool available and still move slower than Nirbhay did before any of that existed.
№ 002
“
The thing about Nirbhay is he doesn't treat engineering and product as two separate jobs. He'll be deep in the infrastructure one hour and then flag a UX problem in the next standup that the designer missed. We went from nothing to a working product in six weeks. Not a prototype — an actual product. Couldn't have asked for a better cofounder.
№ 003
“
The frontend developer we had on the team was good but Nirbhay was moving at a completely different speed. Instead of slowing down or making it a management problem he just absorbed the work. Backend, frontend, didn't matter. He treated it like a problem to solve not a boundary to negotiate.
№ 004
“
Most engineers optimise for the spec. Nirbhay optimises for the outcome. There's a gap between those two things that costs most companies a lot of money, and he just naturally closes it.
№ 005
“
He once fixed a bug he found that wasn't in his scope, wasn't in his sprint, and nobody had reported it. Just saw it, fixed it, mentioned it in standup. Small thing. But it tells you everything about how he thinks about work. It's never just a ticket to him. It's a product that real people are going to use and a product he cares about.
↳ ABOUT THIS PERSON
Makesh Krishna
CTO · RONI ANALYTICS
WORKED ON
PandaTerminal
↳ KEYWORD
“faster”
THE WORD THAT RECURS
SCROLL↓
GET IN TOUCH · 01 / 01
Have a hard
problem?
Let's talk.
WHAT I WORK ON
01
0 → 1 Product Engineering
From whiteboard to shipped product — full ownership across the stack.
02
Agentic Systems
Designing and shipping production-grade AI agents — tool use, MCP, retrieval, evals, and autonomous workflows.
03
AI-Accelerated Development
Leveraging LLMs and AI tools for faster shipping cycles and higher quality output.
04
Scalable System Architecture
Designing distributed systems built to handle hundreds of millions of requests.
05
ML Infrastructure
Production ML pipelines, real-time inference, and model serving at scale.