Software Architect · 21 Years in the Craft · Implementing AI into real systems . Distributed Systems · Bangalore, India

"Good architecture is not about chasing what's new — it's about knowing what's foundational."

I'm Manas Dash — a Software Architect with 21 years of hands-on production experience, currently at Tesco Technology, Bangalore.

My foundation is core computer science: distributed systems, event-driven architecture, API design, and system thinking. These aren't stepping stones for me — they are the work. I've spent two decades building systems that are resilient, observable, and maintainable at retail scale, serving millions of customers across one of the world's largest retailers.

I believe software and systems are the craft. AI is a powerful capability I apply through that craft — not the other way around. I am not building models or fine-tuning weights. I am implementing AI into real systems: integrating LLMs into production pipelines, designing agentic workflows, and making conversational AI a reliable component in distributed architectures — the same way I've integrated Kafka, Redis, or any other tool that earns its place.

My philosophy: understand the core deeply, apply the new deliberately, and share everything openly.

Currently focused on: AI-implemented systems · Distributed architecture · Engineering leadership · Knowledge sharing

Available for 1:1 guidance sessions and consultancy engagements. Grounded in 21 years of real delivery — not theory.

I work with engineers and developers who are:

• 🚀 Navigating the Senior → Architect transition — the shift from solving tasks to owning systems and influencing direction
• 🧭 Choosing depth vs. breadth — when to specialise in distributed systems, AI integration, cloud, or backend engineering
• 📐 Learning to think in systems — design trade-offs, CAP theorem, event-driven vs. request-driven, and when each matters
• 📄 Building a visible engineering profile — GitHub presence, technical writing, conference talks, and community work
• 🏢 Preparing for principal/architect interviews — system design rounds, trade-off articulation, and leadership conversations
• 🌱 Early-career developers — how to go deep on core CS while staying relevant in a fast-moving industry

I consult on:

• 🏗️ System & API Architecture — microservices, event-driven design, domain modeling, API gateway patterns
• 🤖 AI-Implemented Systems — integrating LLMs and agentic AI into production architectures as reliable, maintainable components
• 🔗 Distributed Systems — Kafka, Redis, Couchbase, eventual consistency, and supply-chain-grade reliability
• ☁️ Cloud-Native Engineering — AWS, Docker, Kubernetes, CICD pipelines built for teams shipping at pace
• 📐 Engineering Culture — code review standards, SDLC maturity, architectural decision records, and engineering principles

📫 Get in touch: simplymanas@gmail.com · LinkedIn · about.me

• 🔭 Working on: Retail-scale distributed systems & AI-implemented solutions at Tesco Technology
• 🤖 Currently focused on: Applying LLMs and agentic AI within production system architectures
• 🧱 Core belief: Distributed systems and good architecture are non-negotiable — AI sits on top of them, not instead of them
• 🌱 Deepening: AI integration patterns, agentic workflows, and LLM-in-production engineering
• 😊 IKIGAI: Happiness is the destination. Sharing is the vehicle.
• 👯 Open to collaborate on: Distributed systems · AI-implemented systems · Java · Python
• 💬 Ask me about: System architecture, going from senior to architect, or building in public
• 😄 Pronouns: Beyond He and She
• ⚡ Fun fact: Talk to me to find out!

Core

Distributed Systems

AI in Systems

Practices

"Sharing is Caring"
Author: @simplymanas