AI/ML Engineer

Mohammed Ahmed Hassan

MLOps  /  Deep Learning  /  LLM Systems  /  Edge AI

Building production-ready intelligent systems that bridge the gap between experimentation and real-world deployment. End-to-end AI from data to infrastructure.

Amiri10
Who I am

About Me

I'm Mohammed Ahmed Hassan, an AI/ML Engineer with a focus on building production-ready intelligent systems. My work blends deep learning, backend engineering, and MLOps — taking ideas from research all the way to real-world deployment.

I specialize in LLM-powered applications, Retrieval-Augmented Generation (RAG), and AI agents, along with edge and offline-first AI solutions designed for environments with limited connectivity. My systems span medical AI, autonomous data analysis, and cybersecurity.

My approach is systems-oriented. I don't just train models — I build complete AI products across data pipelines, model training, inference optimization, and infrastructure. Currently building MiraiQ, a startup focused on intelligent automation and edge AI.
What I work with

Technical Arsenal

Deep Learning & AI

Neural networks, computer vision, NLP, and advanced ML algorithms for production systems.

PyTorch TensorFlow CNNs Transformers

LLM & RAG Systems

Intelligent agents, retrieval-augmented pipelines, and tool-using language model applications.

LangChain LangGraph LlamaIndex Vector DBs

Backend Engineering

Production-grade APIs, scalable backend services, and async Python systems.

FastAPI Django Python REST APIs

MLOps & Deployment

Model deployment, monitoring pipelines, CI/CD, and cloud infrastructure management.

Docker MLflow CI/CD Cloud Deploy

Data Science

End-to-end data analysis, visualization, feature engineering, and statistical modeling.

Pandas NumPy Scikit-learn EDA

Frontend & UI

Building interactive interfaces for AI applications and intelligent web experiences.

React Streamlit Gradio HTML/CSS
What I've built

Featured Projects

RAG System / NLP

Novar

A lightweight RAG application inspired by NotebookLM. Users upload documents (PDF, EPUB, TXT, DOCX), and the system retrieves semantically relevant chunks to generate grounded, source-traceable answers. Features streaming SSE responses and session-based document management.

FastAPI LangChain ChromaDB Gemini React Vite
Medical AI / Deep Learning

NeuroScope AI

AI-powered brain MRI analysis system for automated detection and classification of brain abnormalities using deep learning and computer vision techniques.

TensorFlow CNNs MONAI Flask OpenCV
Healthcare ML / Classification

Breast Cancer Prognosis

Multimodal ML system for breast cancer prognosis combining CNNs for pathology image classification with a DNN using Cox proportional hazards loss for survival prediction.

ResNet50 TensorFlow Scikit-learn Keras
AI Agents / Data Science

EDA Agent

Autonomous AI agent for exploratory data analysis. Automates insight generation, visualization, and model selection for tabular datasets using LLM-guided decision making.

FastAPI Mistral Groq XGBoost Docker
Federated Learning / Security

IoT Intrusion Detection

Federated Learning System for Anomaly Detection in IoT Environments. Detects and classifies 14 types of cyber attacks on IoT networks without centralizing raw data.

TensorFlow Federated Learning Streamlit Scikit-learn
AI-Agent / OpenAI

Amiri Content Agent

Real Time OpenAI powered social media content creation AI Agent, Create, Schedule and Post Contents

OpenAI React ExpressJS AI Agent
Let's connect

Get In Touch

Let's build something together

I'm open to discussing AI/ML projects, collaborations, research opportunities, or just talking about intelligent systems. Feel free to reach out through any channel.

WhatsApp

+234-9056807640

Location

Gombe, Nigeria