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.
Generative AI full-stack engineer delivering LLM applications, RAG systems, and AI agents — from architecture to deployment.
ABOUT ME
I craft bold AI-native products
across full stack, SaaS & LLMs
Who is Abhishek Das?
Abhishek Das is a full stack developer and generative AI engineer based in Bengaluru, Karnataka, India, with 5 years of professional software engineering experience. He currently works as a Software Engineer at Lowe's India (since July 2025), building enterprise Java/Spring Boot systems and AI-assisted Camunda workflow automation. Before that, he was a Founding Engineer and later SDE 2 at Satts Group (2023-2025), and started his career as a Programmer Analyst Trainee at Cognizant (2022-2023). Abhishek builds production software across the full stack — LLM applications, RAG pipelines, AI agents, and vector databases alongside Next.js, TypeScript, Python, and Java. His shipped projects include LivoTale, an at-home liver-health screening platform spanning patient and admin applications, and Job Crawler, a Naukri and LinkedIn job-discovery tool. He holds a B.Tech in Computer Science from Narula Institute of Technology. GitHub: dasabhishekdev. Read my full engineering experience.
5+ YRS
Years building AI-native, SaaS, web, and mobile products end-to-end.
3 PRODUCTS
Products shipped from concept to production — full stack, full ownership.
30+ STACK
Technologies across generative AI, frontend, backend, cloud, and DevOps in production.
HOW I DELIVER VALUE
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.
Architecture That Fits
The right stack depends on scale, team strengths, and time to value — not personal preference. I design systems that stay maintainable after launch.
Shippable Systems, Not Demos
I build production-grade software with intentional architecture and AI-accelerated execution — complete flows, not polished prototypes.
Measurable Impact
Releases should be predictable, observable, and improvable. I focus on outcomes you can track: reliability, speed, and user value in production.
WHAT I DO
Generative AI Products
I build LLM applications, AI agents, and RAG pipelines with vector search — production systems that augment real workflows, not proof-of-concept demos.
Full Stack Web
Production-grade web apps with Next.js, React, TypeScript, and Figma-informed UI — fast, accessible, and built to scale.
SaaS Architecture
Multi-tenant systems, APIs, billing, and dashboards — Java/Spring Boot, FastAPI, MongoDB, ORMs, and cloud deployment on AWS.
Mobile & Cross-Platform
React Native and Expo apps with offline-first sync, push notifications, and native-feel UX — from prototype to app store builds.
TECH STACK
My generative AI full-stack toolkit — each chip links to official docs. Drag things around on desktop.
OpenAI
LangChain
Pinecone
Claude
Cursor
GitHub Copilot
Writing
ENGINEERING NOTES
I write about software fundamentals, Spec-Driven Development, and lessons from building production systems.
LET'S CONNECT
Have an idea or want to collaborate? I'd love to hear from you. Personal outreach only — not a business inquiry.