Clear Direction Before Code
Projects move faster when everyone agrees on the real problem. I help teams get aligned on scope, constraints, and what success looks like.

Software Engineer at Lowe's India, based in Bengaluru. I build full stack products, enterprise workflows, and applied AI systems.
with reliable systems & applied AI
Abhishek Das is a software engineer based in Bengaluru, India, with 4+ years of experience designing, building, and operating full stack products. He currently works at Lowe's India, where he partners with 4–5 business teams on six Camunda workflows, Spring Boot APIs, a React and TypeScript interface, and an AI workflow service using Google ADK, LangChain, LangGraph, Weaviate RAG, and Redis. Previously, he helped build and operate an EdTech business operations platform and LMS at Dataspace Academy, serving approximately 10,000 users, and began his career at Cognizant integrating Dialogflow with Genesys Cloud. His independent projects include Livotale, SupplyPoint, and Zookadoo. He works across TypeScript, JavaScript, Java, Python, SQL, React, Next.js, Spring Boot, FastAPI, PostgreSQL, MongoDB, and production operations. He holds a B.Tech in Computer Science and Engineering from Narula Institute of Technology. GitHub: dasabhishekdev. Read my full engineering experience.
Years designing, building, and operating full stack products.
Independent products built with business owners, including a business pilot.
Technologies across full stack engineering, applied AI, cloud, and delivery.
Good ideas stall when the problem is vague. I start by getting clear on what we are building and why.
I align on the real problem, scope, and definition of success early — so effort goes toward the right build. These are the outcomes I focus on at each stage — the full path from idea to production is mapped out step by step.
Projects move faster when everyone agrees on the real problem. I help teams get aligned on scope, constraints, and what success looks like.
The right stack depends on scale, team strengths, and time to value — not personal preference. I design systems that stay maintainable after launch.
I build production-grade software with intentional architecture and AI-accelerated execution — complete flows, not polished prototypes.
Releases should be predictable, observable, and improvable. I focus on outcomes you can track: reliability, speed, and user value in production.
I build AI workflow services with Google ADK, LangChain, LangGraph, retrieval-augmented generation, and human review inside real business processes.
I deliver product interfaces and APIs with React, Next.js, TypeScript, Node.js, Java, Spring Boot, Python, and FastAPI.
I turn requirements into service boundaries, API contracts, workflow models, FRDs, and ADRs that teams can build and operate.
I run containerized products, CI/CD, reverse proxies, backups, and recovery workflows across VPS and cloud environments.
Technologies I use across product engineering, enterprise workflows, and applied AI — each chip links to official docs. Drag things around on desktop.
Writing
I write about software fundamentals, Spec-Driven Development, and lessons from building production systems.
Have an idea or want to collaborate? I'd love to hear from you. Personal outreach only — not a business inquiry.