About Me

Who I Am

👋 Hey there! I'm Anindya Dey — a full-stack software & ML engineer based in 🇮🇳 India. My journey began with a single C programming assignment in college. That first clean compile sparked a lasting appreciation for precision and simplicity that still guides my work today.

I build enterprise web applications, data platforms, and ML systems that teams can trust at scale. My focus is architecting predictable data flows and reliable service interactions that reduce systemic complexity. Over 11 years, I've progressed from late-night debugging sessions to engineering cloud architectures serving millions of requests daily. Key milestones include:

Leading AWS cost optimization that cut monthly spend by 40% while improving system reliability
Building ML pipeline that predicts user behavior with 85%+ accuracy
Architecting scalable subscription service for an e-commerce platform that drives $10K+ in recurring revenue

Today I specialize in:

Scalable cloud infrastructure with explicit ownership and graceful failure modes
MLOps pipelines that bridge data science and production systems
Full-stack platforms for fintech and SaaS applications

I design solutions that enable faster product iteration while maintaining reliability — and I still carry that early sense of wonder for elegant code.

When I'm AFK

Building IoT side projects (Raspberry Pi, Arduino)
Trying out emerging tech (AI agents, AR/VR)
Exploring new places (India and beyond)
Playing story-driven and FPS games
Publishing distilled engineering insights

What I Do

Build Full-Stack Applications

End-to-end delivery: responsive UIs, resilient APIs, data flows, auth, and production deployment from idea to user value.

Delivered 15+ production applications used by 10K+ users

Design System Architecture

Design distributed service boundaries with clear contracts that keep platforms reliable under heavy throughput.

Designed architectures handling 100K+ requests per day

Implement MLOps Pipelines

Deploy production-ready ML with versioned pipelines, automated data ingestion, and monitoring for performance and drift detection.

Deployed 5+ ML models sustaining 95%+ uptime

Enhance System Performance

Profile and optimize systems with lean queries, targeted caching, and right-sized resources to reduce latency and improve throughput sustainably.

Delivered 60% faster response times across production systems

Solve Technical Problems

Lead resilient incident response and root cause analysis to restore stability fast and harden systems for future resilience.

Maintained 99.9% uptime across critical production services

Reduce AWS Infrastructure Costs

Analyze usage patterns and right-size workloads through autoscaling, savings plans, and storage tiering to cut sustained costs without sacrificing performance.

Achieved sustained 40-50% cost reductions in AWS

Let's Build Something Exceptional

Whether you need a full-stack app, ML pipeline, or scalable cloud architecture, I design and deliver production-grade solutions that are cost-efficient, resilient, and built to last.

Get In Touch View Resume

“The best solutions emerge from curiosity, collaboration, and a commitment to sustainable and thoughtful engineering choices.”
— Anindya Dey

Check out my professional experience and skills or get in touch to discuss your project.

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