Sekharendu Dey

23 · Software Engineer23 · Software Engineer

I build, learn, experiment, and occasionally overthink the details because the best products usually live in the details.

Featured Work

2026  ·  RAG application

LIVE

01. LocalCortex

LIVE
TypeScriptOllamaQdrantRAGLangChainExpress.js
TSOllamaQdrantRAGLangChainExpress.js

Chat with your documents, entirely on your machine. Upload PDF, Word or Markdown files and get streamed answers with sources. 98% of answers correct, 14/14 off-topic questions refused.

Privacy-first RAG pipeline - 100% local PDF Q&A with citation grounding and Recall@K/MRR evaluation.

LocalCortex

2026  ·  Developer Tool

LIVE

02. AI Adapter

LIVE
TypeScriptJavaScript ProxiesExpress.jsVercel AI SDKOpenAI SDK
TypeScriptExpress.jsVercel AI SDKOpenAI SDK

An observability wrapper for AI agent systems. Intercepts Vercel AI, OpenAI, and Mastra SDK calls to capture latency, token usage, and errors (no code changes required). Built with JavaScript Proxies for instant AI telemetry.

An observability wrapper for AI agent systems. Intercepts popular LLM SDK calls to capture telemetry.

AI Adapter

2026  ·  Backend AI Infrastructure

IN PROGRESS

03. StreamMind

IN PROGRESS
TypeScriptFastifyGeminiGroqPostgreSQLRedispgvectorRAGSSE
TypeScriptFastifyPostgreSQLRedispgvector

An AI backend that provides an unified layer for LLMs. It supports real-time streaming, observability, agents, PostgreSQL-backed conversation history, Redis rate limiting, and a RAG pipeline.

An AI backend that provides an unified layer for LLMs, real-time streaming, RAG, agents, memory, and observability.

StreamMind

Work

CloudKaptan

Kolkata, West Bengal, India

Software Engineer - Apprentice

Apprenticeship

Apr 2025 – Sep 2025

  • Designed and deployed robust record-transition workflows for a fintech LMS, tat concurrently processes 1,000+ records across 8 distinct lifecycle stages.

CloudKaptan

Kolkata, West Bengal, India

Software Engineer - Trainee

Full-time

Oct 2025 – Jul 2026

  • Built scalable backend services and a reliable multi-provider LLM layer featuring backup routing and usage tracking, alongside a fast Node.js API that accelerated large-scale CSV exports for 50,000+ records by 65%.

GitHub Contributions

544 contributions in the last year
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Technologies

01–03 / 05

Who I am

Hey, welcome ^_^. I'm a software engineer from India, working my way into AI engineering. These days, I'm focused on LLM backends, retrieval, and the infrastructure that keeps them fast and reliable.

I document my journey publicly on X, sharing the wins, the dead ends, and everything in between. I like picking problems that feel a bit out of my league. Going from completely stuck to finally figuring it out is my favourite part.

What I've been building

  • LocalCortex: a fully local RAG pipeline with adaptive chunking and retrieval evaluation (Recall@K, MRR).
  • StreamMind: a single backend layer for LLMs that handles streaming, RAG, agents, memory, observability, and fallback across providers.
  • AI Adapter: drop-in telemetry for AI agents that captures latency, token usage, and errors with no code changes.

Away from the keyboard

You'll usually find me playing cricket, working out at the gym, or going for a run. I love anime for stories that pull me into another world, and non-fiction books that make me see this one a little differently.

And some days, after all the building, learning, and overthinking, I just sit back, watch the clouds drift by, and do absolutely nothing for a while.

Just a guy who refuses to give up on his dreams.

Let's build something.

Open to new opportunities, collaborations, and conversations about engineering at scale.