I’m an early-career ML Engineer and MSc student in Artificial Intelligence & Machine Learning, learning how to automate repetitive and time-consuming tasks using Python.
I come from a physics background, which has given me a strong base in mathematics, statistics, and analytical thinking. Right now, my focus is on understanding how data, machine learning models, and backend systems work together in real projects—not just in isolated notebooks.
I’m building small but practical systems step by step, with an interest in data pipelines, basic ML workflows, and simple AI-powered applications.
📫 Contact: aahad8948@gmail.com
- Automating manual or repetitive workflows using Python
- Data preprocessing, validation, and feature preparation
- Building basic machine learning pipelines
- Connecting ML models with backend services
- Understanding how ML systems behave outside notebooks
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Full-Stack AI Agent (Learning Project)
Built an AI system with structured data flow, asynchronous task handling, and database-backed storage to understand how ML systems operate end to end. -
Plant Disease Detection System
Created a basic ML pipeline for image classification using PyTorch, including preprocessing, training, evaluation, and a simple Streamlit interface. -
Text-to-SQL System
Developed a system that converts natural language questions into SQL queries to retrieve data from relational databases.
MSc – Artificial Intelligence & Machine Learning
Expected Graduation: July 2026
BSc – Physics
Graduated 2024
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