Based in Dhaka, Bangladesh

Muntah Mahfuz Srestho

AI & Machine Learning Developer

Currently studying Pearson Edexcel A levels · Open to AI/ML internships

I build practical AI systems — agents that call tools, computer vision pipelines that run on limited hardware, and full-stack apps that actually get used. Most of my work sits at the intersection of models and real systems: FastAPI backends, edge inference, and agents that stay grounded in data instead of making things up.

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Selected Work

Things I've built

Active
Pixagent

Full-stack AI agent for a laptop repair shop. Technicians create tickets and logs; customers chat with an assistant that answers only from real repair data via Mistral tool calling. Streaming responses, JWT auth, and deliberate guardrails against hallucination.

FastAPI PostgreSQL Supabase Mistral AI Tool Calling JWT
Contributor
Result Management System

Added a Mistral-powered assistant to a Flask school management platform so teachers can query student data in natural language. Built secure tool-calling functions over SQLAlchemy/SQLite that respect role-based access instead of exposing the whole database.

Flask Python Mistral AI Agentic AI SQLAlchemy SQLite
Active
Autonomous Desktop Agent

Multimodal agent that can control a Linux desktop (Wayland) on machines with only 4GB RAM. Uses in-memory frame capture and kernel-level scancode injection so it can see the screen and type/click without heavy dependencies.

Python Wayland Linux Computer Vision Edge
All repos on GitHub

Capabilities

Tools of the trade

Languages & Frameworks

Python
FastAPI
Flask
PyTorch

AI / ML

Tool-calling agents
Mistral API
YOLOv8 / CV
Model quantization

Backend & Data

PostgreSQL / Supabase
SQLAlchemy / SQLite
JWT auth / SSE
Streaming responses

Systems

Linux (Arch)
Wayland / Edge
Git / Docker
Real-time inference

Academic background

The path so far

Current In progress

Pearson Edexcel A Levels

Private Candidate

Studying Physics, Mathematics, and Further Mathematics independently as a private candidate.

Physics Mathematics Further Mathematics

Background

Who I am

I'm a self-taught AI developer from Dhaka who got into machine learning the hard way — through rigorous independent study in differential calculus, linear algebra, and probability, specifically applied to how neural networks actually work under the hood.

I don't build demos. I build systems that run under real constraints: limited RAM, free-tier cloud, low-power edge hardware. That discipline shapes everything — from how I architect APIs to how I think about model quantization.

Currently looking for an internship where I can contribute to production-grade AI infrastructure, learn from experienced engineers, and push further into agentic and multimodal systems.

Location

Mohammadpur, Dhaka, Bangladesh

Status

Open to internships

Let's connect

Want to build
something together?

I'm actively seeking internship opportunities. If you're working on something interesting in AI, vision, or intelligent systems — reach out.