I'm an AI/ML Engineer and final-year CSE student at BUET. I build intelligent systems and take them from research to production — LLM and agentic applications, applied computer vision, and the full-stack engineering that ships them.
First-author on SYNAPSE-Net, a framework for robust brain lesion segmentation. Currently focused on agentic AI, RAG systems, and generative models.
Founder & AI/ML Engineer · Somokolon Labs Jan 2026 – Present
Founded and run an AI and software studio that ships LLM, RAG, generative-AI, and full-stack products end to end — including production software for small businesses, from requirements through deployment. Own the full lifecycle: research, engineering, CI/CD, cloud deployment, and monitoring across the studio's shared infrastructure.
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LLM & Agentic Systems Multi-agent orchestration (plan → research → code → critique), RAG pipelines over documents, and offline-capable agents with swappable local/cloud LLM providers. |
Applied ML, CV & Systems Generative & diffusion models, on-device inference (ONNX, edge AI), and performance-critical systems — including a vector database built from scratch with AVX-512 kernels. |
Production Engineering Fault-tolerant microservices, offline-first architectures for low-connectivity environments, and full-stack products taken from research notebook to deployed, monitored infrastructure. |
A selected few from 85+ repositories. Browse all →
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Secure, ephemeral code-execution infrastructure for AI agents — isolated Docker sandboxes behind a FastAPI gateway.
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Multi-character AI chat across web, Android, and Telegram — one FastAPI backend with persistent memory and RAG.
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Private, offline-first AI assistant for Windows 11 powered by local LLMs, with a native WinUI 3 desktop app.
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High-throughput notification engine — a million messages in five minutes over RabbitMQ and Redis.
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Full-stack, AI-native ERP (HR, CRM, Inventory, Finance) with private on-device AI. Runs standalone for demos.
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SYNAPSE-Net |
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