
Ahsan Zeb
@ahsanzeb
AI/ML engineer building FastAPI and React applications, including a real-time image classification service with sub-second inference.
What I'm looking for
At NAVTTC, I completed an AI/ML internship covering end-to-end machine learning and deep learning pipelines. I handled feature engineering and model evaluation, and improved model accuracy by 12% through hyperparameter optimization.
I built a real-time image classification service using MobileNet, FastAPI, and React, with sub-second inference latency. I also developed SmartAudit, a security auditing platform that integrates Nmap NSE and OpenVAS for vulnerability scanning.
My projects include a Roman Urdu sentiment model applied to Daraz product reviews and a personalized product recommendation system. I’m seeking to build LLM-powered assistants, RAG pipelines, and tool-calling agents that automate workflows and integrate securely with backend systems.
Experience
Work history, roles, and key accomplishments
AI/ML Trainee (Intern)
NAVTTC
Sep 2025 - Dec 2025 (3 months)
Executed end-to-end ML/DL pipelines using Python, Scikit-learn, TensorFlow, and PyTorch, delivering a functional model that met project acceptance criteria. Trained supervised models and deep neural networks, and built a deployable REST API with FastAPI and MongoDB.
Education
Degrees, certifications, and relevant coursework
NAVTTC
Certificate, Artificial Intelligence, Machine Learning & Deep Learning
2025 - 2025
Completed a 3-month Artificial Intelligence, Machine Learning & Deep Learning program, covering the full pipeline from feature engineering to API deployment.
COMSATS University Islamabad
Bachelor of Science, Software Engineering
2021 - 2025
Pursued a Bachelor of Science in Software Engineering, focusing on software development and engineering principles.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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