// distributed systems · enterprise architecture · AI
Building Distributed
Systems That Think
Staff-level architect bridging enterprise distributed systems and AI architecture. From petabyte-scale data pipelines to production RAG — shipping systems that matter.
Built systems at
// work
Projects & Products
In ProgressEnterprise AI· Series 2B
DocIntel
Production-grade document intelligence with hybrid search, multi-tenancy, and observability.
In ProgressDeveloper Tools
LMForge
Always-on local AI infrastructure. A Rust daemon that picks the right engine for your hardware and exposes a single OpenAI-compatible API to every app.
In ProgressEdge AI
EduMate Lite
On-device RAG mobile app — upload documents, ask questions, fully offline. Privacy-first.
// Publications
AI: Through an Architect's Lens
Exploring AI/ML concepts from a distributed systems architect's perspective — bridging theory with production-grade engineering.
Season 1: Kubernetes: The Container Odyssey
This is a 12-part Kubernetes tutorial series written for experienced software engineers who are new to Kubernetes. It follows the story of Alex, a senior backend engineer with a decade of experience in monoliths and VMs, who joins a fast-growing startup called NovaCraft where everything runs on Kubernetes. Each chapter solves a real problem Alex faces at NovaCraft, combining deep conceptual explanations with practical, runnable examples that you can follow on your macOS laptop. The series progresses from foundational concepts to production-ready practices, building on each previous chapter.
The Adventures of Ava the Astronaut: Learning Python One Planet at a Time.
A python series designed for absolute beginners with a storytelling narrative throughout. Each part follows Ava's space adventure while teaching a core Python concept, includes tables for clarity, code examples, and a hands-on mini-project.
Season 2: Kubernetes: The Container Odyssey
This is the second season of "The Container Odyssey," a 10-part Kubernetes tutorial series written for experienced software engineers who have mastered core Kubernetes concepts and are now ready to tackle the broader ecosystem. It continues the story of Alex, who has been promoted to Platform Lead at NovaCraft and now faces the challenges of running Kubernetes at scale for 10+ engineering teams.
Redis Deep Dive: From Cache to AI Memory
This is an extensive, multi-part Redis tutorial series written for senior software engineers. It follows the story of Maya, a Staff Engineer at GlobalMart, who leads the architectural transformation of a struggling monolith into a distributed, AI-powered platform. Each chapter combines narrative storytelling with deep conceptual explanations, internal architecture breakdowns, Mermaid diagrams, and comprehensive Java Spring Boot examples. The series progresses from foundational memory management to advanced vector search and RAG implementations.
Java Evolution: From 8 to 25
A comprehensive, release-by-release tour of every major feature added to Java from version 8 through version 25. Each part covers one release — explaining the concepts behind each feature, showing practical before-and-after code examples, and placing the change in the context of the language's evolution. Whether you are upgrading a legacy codebase or simply want to stay current with modern Java, this series gives you the depth and clarity to understand not just what changed, but why.
The Azure Ascent: A Backend Engineer's Journey to Cloud Mastery
A comprehensive 6-part tutorial series designed for experienced backend engineers transitioning to Azure. Follow Marcus, a seasoned Java engineer, as he builds CloudVault—a fintech platform—from the ground up on Azure. Each part solves a real production challenge: deploying scalable APIs, designing multi-tier data architectures, securing networks, integrating AI capabilities, and automating everything with DevOps. Combining deep conceptual explanations with 40+ production-ready Java code examples, this series takes you from Azure fundamentals through enterprise-grade deployment practices.
// blog posts
// career
Experience
SDE 3 — Technical Architect
- → Leading architecture for the video platform supporting all express stores (~1,500 stores, ~45,000 cameras), with a roadmap to large-format stores — runs on edge K3s clusters with selective cloud export
- → Driving the Total Loss Recovery (TLR) programme — designing systems to link video evidence with loss events for recovery and prosecution workflows
- → Proposed and leading the camera analytics initiative — exploring ONVIF Profile T/S to extract IVA analytics from Hanwha cameras at the edge; designed multi-strategy collection architecture (PullPoint subscription, RTSP metadata parsing, FTP fallback) under 1 Mbps bandwidth constraints
- → Owned architecture from inception for the Incident Prevention platform; led design and implementation of core microservices across a distributed engineering team
- → Designed and built real-time alerting using SSE with Spring WebFlux and Kafka — delivering instant browser notifications to ~200 security hub operators for ~1.5M ANPR events/day and ~3,000 daily fraudulent till transactions
- → Architected the incident reporting system for capturing, correlating, and utilising store incidents (theft, assault) with linked evidence chains for case building and prosecution support
- → Mentor engineers, conduct architecture reviews, and run technical skill-enhancement programmes for the team
Staff Engineer
- → Designed and led CloudHealth — a multi-cloud SaaS platform with highly scalable event-driven microservices, integrating a data pipeline processing ~100 TB/day across modules for cloud cost management and optimisation
- → Drove cross-module architectural decisions optimising data flow for low-latency processing and cost efficiency at petabyte scale
Staff Software Engineer
- → Led the Curalate content management platform team — built and enabled a team to take over core high-traffic components from a newly acquired startup; platform handled 3 billion+ API requests during 36-hour Black Friday peak windows
- → Designed and built media processing platform handling ~35,000 images/day, replacing the legacy image processing system with a modern, scalable microservices architecture
- → Managed end-to-end ownership transition, delivery planning, and team mentoring across multiple engineering pods
Senior Software Engineer
- → Designed and implemented high-performance microservices for asynchronous and synchronous processing of customer data across multiple enterprise systems
- → Implemented distributed tracing in a multithreaded environment using Spring Sleuth and Zipkin for log correlation, performance monitoring, and visual tracing
Advisory Systems Analyst
- → Designed and developed enterprise applications for clients in power utilities and airline hospitality domains
- → Led a small team handling end-to-end delivery from requirements through deployment
Engineer → Senior Engineer
- → Cognizant (2014–2016): Enterprise applications with Java and Spring
- → Siemens (2011–2014): Core backend modules for industrial products
- → Infosys (2008–2011): Foundational Java and enterprise web technologies
// education
Executive PGP in AI & Machine Learning
IIIT Bangalore — Completed coursework and projects; awaiting certificate
Bachelor of Technology, Information Technology
Jadavpur University, Kolkata
// about
The Story
Sixteen years of building enterprise systems have taught me one thing — architecture is about trade-offs, not tools. I've shipped petabyte-scale data pipelines at VMware, real-time fraud detection at Tesco, and high-traffic content platforms at Bazaarvoice.
Now I'm at an inflection point. AI isn't replacing architects — it's creating a new class of systems that need architectural thinking more than ever. Production RAG isn't a tutorial problem. Agent orchestration isn't a prompt engineering trick. These are distributed systems problems, and that's where my 16 years become relevant.
"AI: Through an Architect's Lens" is my way of bridging that gap publicly — learning deeply, writing rigorously, and building production-grade systems. Because I believe work speaks louder than credentials.
Phoenix
Ready when you are