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 & Quantitative 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.
Technical Consulting
System design guidance, feasibility analysis, and architectural review for technically demanding projects.
Tools I Work With
The stack I reach for when correctness, performance, and long-term maintainability are non-negotiable.
Selected Systems & Projects
What the system does and why it matters. Not vanity metrics.
Autonomous Task Orchestrator
Complex multi-step tasks require coordination across specialized capabilities — research, code generation, review — with no human in the loop.
Multi-agent pipeline where a planner agent decomposes high-level prompts into sub-tasks, delegates to specialized agents (researcher, coder, reviewer), and synthesizes a final output.
Reliable inter-agent communication, failure recovery, and preventing hallucination propagation across agent boundaries.
Fully autonomous task completion — from raw prompt to structured deliverable — with no manual intervention required.
HFT Statistical Arbitrage Engine
Micro-inefficiencies across crypto exchanges exist for milliseconds. Manual or slow systems cannot capture them before they collapse.
Low-latency C++ execution engine consuming live WebSocket feeds from multiple exchanges, running statistical arbitrage models to detect and execute cross-venue price divergences.
Sub-millisecond decision latency, simultaneous order execution across venues, and real-time risk controls under volatile market conditions.
Consistent identification and execution of cross-exchange arbitrage opportunities with latency well below the inefficiency window.
Optimization-Based Energy Dispatch
Microgrid energy dispatch requires minimizing operational cost and emissions simultaneously under dynamic load and generation constraints.
Constrained multi-objective optimization system using evolutionary algorithms (GA, PSO) to find Pareto-optimal dispatch schedules across generation assets.
Balancing conflicting objectives (cost vs. emissions) under real-world grid constraints with non-convex solution spaces.
Measurable efficiency improvements over conventional dispatch methods with rigorous performance comparisons across algorithm variants.
Automated Industrial Packing System
Manual packing processes introduce inconsistency, timing errors, and high labor dependency in industrial environments.
Zero-human-interaction control system with PLC-driven sequencing, sensor integration, and fault detection logic built for continuous operation.
Achieving timing precision under variable throughput, building robust fault recovery, and ensuring zero-downtime operation.
Eliminated manual dependency entirely. Operational consistency and throughput reliability improved measurably.
Thinking Out Loud
Systems, markets, and the engineering decisions that matter.
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 →Building Autonomous AI Agents That Actually Work
Most AI agent demos collapse in production. Here's what separates toy agents from systems that operate reliably at scale — and the architectural decisions that matter.
Read more →The Engineer Behind the Code
I'm Mayank Bairagi — Electrical and Computer Engineering graduate from Manipal University Jaipur. ECE is not a detour. It is the reason I think in systems, constraints, and failure modes — not just in features and frameworks.
Control systems, signal processing, and constrained optimization are the lens I bring to software. When you have debugged hardware with an oscilloscope, you develop a different relationship with correctness — one that does not tolerate hand-waving or “it works on my machine.”
Right now I am building an HFT platform designed to compete in live markets. Sub-millisecond execution, real capital, real constraints. Not a side project — a system built to operate under pressure and not flinch. That is the standard I hold everything to.
“I don't prototype to explore. I build to operate.”
Wrote my first Python script and immediately understood why people who code have leverage over people who don't.
Enrolled in ECE at Manipal University Jaipur — started learning how systems actually work, not just how to script them.
Built and shipped my first full-stack product end-to-end. Frontend, backend, deployment — owned the whole thing.
Went deep on quantitative methods and AI systems. Built the optimization engine for microgrid dispatch as part of serious research work.
Building an HFT platform for live markets — sub-millisecond execution, real capital, real risk. The most demanding system I've built.
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
I treat a committed date the way an execution engine treats a filled order — it either ships or there's a documented reason why. No vague updates, no last-minute surprises.
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.