Uber Fare Prediction
End-to-end ML pipeline predicting Uber trip fares from historical data. Includes feature engineering, regression models, and a fully interactive Streamlit web app for live predictions.
A dedicated developer from Karachi, Pakistan, building mobile apps with Flutter and exploring the intersection of data science and real-world problems. Currently studying Software Engineering at University of Karachi.
I'm a developer who bridges two worlds — the precision of engineering and the empathy of customer-facing work.
I'm Muhammad Qaseem, a Software Engineering student from Karachi building intelligent systems at the intersection of Machine Learning, Deep Learning, and Computer Vision — from training custom YOLOv8 models to deploying end-to-end ML pipelines with Python and Streamlit.
My experience as a Marketing Manager gave me something most AI engineers lack — sharp strategic thinking and the ability to communicate complex technical ideas to non-technical audiences. I bring that clarity into every model, pipeline, and product I build.
I'm actively seeking internships, freelance work, and junior roles where I can grow fast and contribute meaningfully.
BS Software Engineering at University of Karachi (2024–2027). Also enrolled in Saylani Mass IT Training — AI & Data Science.
Building end-to-end AI systems — from regression models and deep learning pipelines to computer vision with YOLOv8 and OCR. Projects span fare prediction, number plate detection, and data analysis, all deployed with Python and Streamlit.
Marketing Manager at a Firm, sharpening communication and problem-solving skills across diverse markets.
A mix of machine learning pipelines, data explorations, and mobile apps — each solving a real problem.
End-to-end ML pipeline predicting Uber trip fares from historical data. Includes feature engineering, regression models, and a fully interactive Streamlit web app for live predictions.
Custom-trained YOLOv8 model that detects and reads license plates from images, video files, and real-world noisy scenes using OCR for alphanumeric character extraction.
Exploratory data analysis on Netflix dataset — content trends, genre distribution, country-wise insights, and release year patterns. Visualized with heatmaps, count plots, and bar charts.
Linear regression model trained on a synthetic CGPA-to-Salary dataset. Evaluates model performance with MSE and R² score, and visualizes the regression line over a scatter plot.
Flutter-based mobile app designed for University of Karachi students — centralizing academic resources, announcements, and campus information in one clean interface.
Cross-platform Flutter app that fetches live weather data via a public API, displaying current conditions, forecasts, and location-based updates with a clean UI.
Self-taught across multiple domains — always learning, always building.
Technologies & Tools
Quality Supply USA
US-Based Hotel Supplier
May 2025 – Present · Karachi, Pakistan
2024 – 2027
University of Karachi (UBIT)
Currently enrolled. Focused on software development, data structures, and engineering principles.
Feb 2025 – Dec 2025
Saylani Mass IT Training
Intensive program covering machine learning, deep learning, and data analysis with Python.
2021 – 2023
Government Islamia Science College
Completed with 80% marks. Strong foundation in mathematics and physics.
Open to internships, freelance projects, and junior roles. Feel free to reach out.
Whether you have a project in mind, a question, or just want to connect — my inbox is open. I typically respond within 24 hours.