PORTFOLIO/2026
PritamChakroborty
TECHNICAL FOCUS
- Next.js
- React
- TypeScript
- LangChain
- Python
- LangGraph
- Node.js
- RAG
- Agentic Workflows
- Automation
BUSINESS OUTCOMES
- AI Automation
- MVP Development
- LLM Integration
- Workflow Systems
- Agentic Pipelines
Products with sharp UX
and real-world utility.
I focus on interfaces that explain themselves quickly, ship fast, and hold up under real product use.
Trupas Merchant Identity Infrastructure
A hardware-meets-software verification system for front desks: kiosk scanning, offline resilience, tamper alerts, and an audit-ready operations console.
Prep Piper AI Interviewer
AI-powered mock interviews with adaptive questioning, live feedback, analytics, and coaching flows built for serious interview prep.
Zapier Automation
An event-driven automation platform with webhook ingestion, Kafka-powered workflow routing, and secure operational dashboards.
PlayTM Demo App
A wallet experience with transfers, beneficiary management, money requests, and transaction visibility in a compact UI.
Readium
A Medium-inspired reading product with writing, favorites, profile views, and a distraction-light content experience.
My Arsenal
My toolkit evolves with every project — from crafting seamless user interfaces to building intelligent backend systems and deploying production-grade AI workflows.
About Me
I build full-stack AI products that ship fast and hold up in production. From LangGraph agentic pipelines to production Next.js dashboards, I take ownership of the full system — architecture, backend, frontend, and deployment.
Currently building Prep-Piper, an AI-powered interview platform, and open to the right product or consulting opportunity.
Roles, teams, and product impact.
A cleaner view of the work done across product delivery, full-stack systems, and AI engineering.
Software Developer
2025 — PresentFull Stack Developer
2025 — 2026Frontend Developer
Dec 2023 — Mar 2024Trainee Full Stack Developer
Feb 2023 — Apr 2023Working with Clients
I also build for founders and operators who need AI execution, not just advice.
- →Building an AI product with no technical co-founder — I own the full build end to end.
- →Running a team on manual workflows that should be automated — I build the agentic system that runs it instead.
- →Have a working product that needs AI features — I integrate cleanly without breaking what's live.
My Writings
Sharing learnings and explorations in generative AI, fullstack development, and the journey of building products that matter.
Prompting Techniques: Your Toolkit for Mastering AI Communication
A beginner's guide on basics of prompting techniques. Learn how to craft effective prompts to get the best results from AI models like GPT-4 and Claude.
Prompting Techniques: Your Toolkit for Mastering AI Communication
A beginner's guide on basics of prompting techniques. Learn how to craft effective prompts to get the best results from AI models like GPT-4 and Claude.
Beyond Prompts: The Rise of Context Engineering
Why modern AI systems need more than good prompts, and how context engineering changes the way we design reliable model behavior.
Beyond Prompts: The Rise of Context Engineering
Why modern AI systems need more than good prompts, and how context engineering changes the way we design reliable model behavior.
Prompt Engineering: The Art of Effective AI Communication
A practical look at how better prompt design improves output quality, control, and consistency across real product workflows.
Prompt Engineering: The Art of Effective AI Communication
A practical look at how better prompt design improves output quality, control, and consistency across real product workflows.
Deep Agents: LangChain Context Engineering in Action
A practical look at how deeper agent workflows and context engineering come together inside LangChain-based systems.
Deep Agents: LangChain Context Engineering in Action
A practical look at how deeper agent workflows and context engineering come together inside LangChain-based systems.
RAG Systems Explained: Building Intelligent Document Assistants
Understand Retrieval-Augmented Generation from first principles. Build a document Q&A system using embeddings, vector databases, and LLMs.
RAG Systems Explained: Building Intelligent Document Assistants
Understand Retrieval-Augmented Generation from first principles. Build a document Q&A system using embeddings, vector databases, and LLMs.
PostgreSQL & Prisma: Building Type-Safe Database Applications
Leverage Prisma ORM with PostgreSQL to write type-safe, scalable database code with zero runtime errors.
PostgreSQL & Prisma: Building Type-Safe Database Applications
Leverage Prisma ORM with PostgreSQL to write type-safe, scalable database code with zero runtime errors.
Let's Connect
If you're building with AI, need a workflow automated properly, or want an honest conversation about what's possible — this is the right place to start.