I build things
that work.
Hi, I'm Mayank Bairagi — I design autonomous AI agents, develop algorithmic trading systems, and engineer scalable software platforms. Bridging ECE fundamentals with production-grade architecture.
What I Actually Do
High-fidelity depth over surface-level breadth. Three domains. Full ownership in each.
Autonomous AI Systems
- Agent-based architectures at production scale
- Agent orchestration logic and multi-step decision pipelines
- LLM integration with tools, APIs, and external data sources
- Autonomous workflow execution with constraint handling
- System reliability, fallback logic, and observability
Algorithmic & Quant Trading
- From strategy design to live execution
- Quantitative strategy design and statistical modeling
- Backtesting frameworks with rigorous performance analysis
- Low-latency execution logic and order management
- Risk controls, position sizing, and market microstructure
Full-Stack & Systems Engineering
- End-to-end ownership across the stack
- Modern frontend interfaces with Next.js and React
- Scalable APIs, backend services, and data pipelines
- Database architecture, infrastructure, and deployment
- System integration across services and third-party platforms
What I Build for You
Full-Stack Web Development
Complete web applications from frontend to backend, database, and deployment. Clean architecture built to scale and maintain.
Frontend Engineering
Modern, responsive, accessible interfaces with attention to performance, animations, and real user workflows.
Backend & API Development
Scalable backend systems, REST APIs, and data pipelines built for reliability and long-term maintainability.
Automation & System Integration
Replacing manual workflows with deterministic, auditable software systems. Zero ambiguity in outputs.
AI & Optimization Systems
Metaheuristic algorithms, autonomous agents, and ML-driven decision systems built for real-world constraints — not academic benchmarks.
Quantitative & Trading Systems
Strategy backtesting frameworks, execution engines, and data pipelines built for Indian equity and derivatives markets.
Tools I Work With
The stack I reach for when correctness, performance, and long-term maintainability are non-negotiable.
Built Something That Outperforms the Platforms
A browser-native image optimisation engine that beats Instagram, WhatsApp, Twitter, and LinkedIn at their own compression game — before you ever hit upload.
imgora.in
imgora.inDrop any photo — HEIC, JPG, PNG, or WebP — pick the platform you are sharing to, and get back a perfectly optimised JPG instantly. No account. No upload. No waiting.
Every social platform silently re-compresses your photo on the way in. If the image is the wrong size or format, the platform downscales and re-encodes it — and your photo loses quality twice. imgora eliminates the second hit entirely.
“The algorithm doesn't guess what looks good. It knows exactly what each platform's encoder expects — and delivers that.”
Why imgora Wins
100% Private
Every byte of processing happens inside your browser. Your photos never leave your device — no server, no upload, no log.
One Compression Round
Platforms silently re-encode whatever you upload. imgora pre-tunes to exactly what each platform expects, so your image is only compressed once — ever.
Platform-Specific Output
Not a generic resize. The exact dimensions, quality ceiling, colour profile, and encoding flags each platform's own pipeline uses — applied before upload.
Any Format In
HEIC from your iPhone, PNG screenshots, WebP exports — drop anything. imgora handles the conversion before optimisation runs.
Thinking Out Loud
Systems, markets, and the engineering decisions that matter.
How AI Is Making Healthcare Faster, Smarter, and Less Wasteful
Healthcare systems are slow, overloaded, and expensive — not because the people inside them are incompetent, but because the processes were never designed to scale. AI is changing that.
Read more →Systems Thinking: The Mental Model Every Engineer Needs
The engineers who build the most reliable systems aren't necessarily the best coders. They're the ones who think in feedback loops, failure modes, and emergent behavior — before writing a line.
Read more →Statistical Arbitrage in Crypto: What the Backtests Don't Show
Backtests on crypto arb strategies look beautiful. Live execution is a different discipline entirely. Here's what the P&L curves hide and how to close the gap.
Read more →The Engineer Behind the Code
I'm Mayank Bairagi, a full-stack developer and AI engineer with a background in Electrical and Computer Engineering from Manipal University Jaipur.
My ECE foundation gave me something that shapes everything I build — a hardware-level instinct for correctness. When you've debugged circuits with an oscilloscope, you develop a different relationship with failure. You learn to design systems that don't just work, but hold.
I bring that thinking into software. I build AI-powered web applications, algorithmic trading systems for Indian markets, and tools that are engineered to operate under real constraints — not just demo well.
When I'm not building, I'm studying the systems underneath — markets, mathematics, and the infrastructure that makes reliable software possible.
Tools of the Trade
The Difference Is in the Details
Design Before Code
I don't open an editor until I understand the system end-to-end. Architecture decisions made at the keyboard cost ten times more to fix than ones made on paper.
Deadlines Are Contracts
A committed date either ships or there's a documented reason why. No vague updates, no last-minute surprises. I flag blockers early — not after they've already cost you time.
Built for the Next Maintainer
The code I hand over is meant to be read, extended, and debugged by someone else. Clean interfaces, obvious structure, no clever tricks that only I can untangle.
Correct First, Fast Second
I optimize for correctness before I optimize for speed. A fast system that produces wrong results is worse than a slow one. Measure, then improve — in that order.
How I Work
I map the problem before touching the stack. What breaks, what can't change, what's actually being asked versus what's been said.
I design the system on paper first — data flows, failure modes, interface contracts — and present the tradeoffs before writing line one.
I build in milestones with a clear definition of done for each. Every decision that deviates from the plan gets documented and flagged, not quietly absorbed.
Handover is part of the build, not an afterthought. You get documentation, a walkthrough, and a system you can actually operate without me.
Have a complex system to build?
Let's discuss it.
Whether it's an autonomous AI agent, a high-performance trading engine, or a scalable software platform — bring the hard problem. I'll bring the engineering discipline.