debashish thakur
debawho.xyz
Debashish Thakur
AI/LLM Engineer
Overview
Social links
About
AI/LLM engineer with 2+ years building and shipping production-grade agent systems.
- I lead agent engineering at BlueBear AI, building multi-agent workflows, MCP servers and structured-output pipelines for B2B automation.
- I write the guardrails too — skill- and rule-based access controls that decide what an agent may touch before it touches it.
- As founding ML engineer at Ayna AI I ran an LLM/VLM analytics framework across 10K+ workflow outputs and cut error rates by 18%.
- I rebuilt their image pipeline to serve 3K+ requests a day at 40% faster inference and 30% lower infrastructure cost.
- Most of my time goes to the unglamorous half of the problem: output that holds its shape and tool calls that fail loudly instead of silently.
Stack(20)
Python
TypeScript
C++
LangChain
Claude
MCP
PyTorch
TensorFlow
Hugging Face
scikit-learn
FastAPI
Django
Flask
Docker
PostgreSQL
MySQL
Google Cloud
n8n
Jupyter
Git
TypeScriptC++LangChainClaudeMCPPyTorch
TensorFlowHugging Face
scikit-learnFastAPIDjangoFlaskDocker
PostgreSQLMySQLGoogle Cloud
n8nJupyterGitExperience(3)
Founding AI/LLM Engineer
Full-time01.2026—Present
- Lead development of production-grade LLM agents for B2B use cases, building MCP servers and structured-output pipelines.
- Orchestrate multi-agent workflows for complex automation, coordinating task delegation and execution across agents.
- Implement security guardrails — skill- and rule-based access controls that constrain agent behavior and block unauthorized actions.
- Apply systematic prompt engineering to raise agent output accuracy and consistency.
- Python
- TypeScript
- MCP
- Anthropic API
- Docker
- Postgres
- nsjail
Founding ML Engineer
Full-time08.2024—01.2026
- Architected and deployed an LLM/VLM analytics framework processing 10K+ workflow outputs across text and images, surfacing 70+ edge cases and cutting error rates by 18%.
- Built a ComfyUI-based image generation pipeline serving 3K+ daily requests — 40% faster inference and 30% lower infrastructure cost.
- Led MCP server adoption for enterprise LLMs, automating three internal workflows and speeding up cross-team knowledge retrieval.
- Engineered the dataset pipeline for a multiclass segmentation model trained on 50K+ images, refining the set with vision-model inference.
- Python
- PyTorch
- ComfyUI
- MCP
- Vision models
- AWS
Inspiron Info Inc
Machine Learning Engineer
Full-time11.2023—08.2024
- Designed and validated a movie revenue forecasting model in scikit-learn at 87% accuracy — 12 points above baseline.
- Engineered an LLM-powered text-to-SQL engine enabling natural language database queries with Matplotlib, Plotly and Seaborn visualization.
- Trained LSTM-based sequence models from scratch for natural language to SQL translation.
- Python
- scikit-learn
- LSTM
- SQL
- Plotly
Projects(3)
LekhakAI
01.2025 — Present
LekhakAI
01.2025 — Present
- Chrome extension for multi-LLM inference from anywhere in the browser, published on the Chrome Web Store.
- Routes a single prompt across providers so you can compare answers without leaving the page.
- TypeScript
- Chrome Extension
- Anthropic API
- Vite
The Prompt Craft
05.2025 — Present
The Prompt Craft
05.2025 — Present
- Prompt intelligence platform benchmarking roughly 6,000 model prompts scraped from Reddit.
- Vector-embedding semantic search across the corpus, so you can find the prompt shape you need instead of the exact words.
- Scraping, embedding and ranking run as separate jobs so the corpus can grow without a re-index.
- Python
- Embeddings
- Vector search
- FastAPI
meanpdf
02.2026 — Present
meanpdf
02.2026 — Present
- Local-first PDF toolkit — merge, split, compress and convert, all in-process. Nothing is ever uploaded.
- Backed by a 65-test suite, because a tool that mangles documents quietly is worse than no tool at all.
- Python
- Local-first
- Pytest
Private repository
Education
Assam Engineering College
07.2019—08.20237.4 / 10 CGPA
B.Tech, Computer Science and Engineering · Guwahati, Assam
Awards(3)
Smart India Hackathon Finalist
2022Top 5 nationally. Led a team of five to build a real-time analysis tool for hackathon judges.
Inter-college robotics champion
2022Architected an autonomous obstacle-avoiding robot that beat a field of 20+ teams.
Coding Club Secretary
2021Ran 10+ technical events for 200+ students and grew sustained club participation.
Brand
Wordmark
debashish thakur