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Muhammad Mansoor Alam
Hilton Pharma Merit Scholar
Aspiration Statement
Final-year Computer Science student with hands-on experience in deep learning, computer vision, and full-stack development. IEEE-published researcher interested in building impactful products in applied AI/CV and software engineering.
Core Skills
- API Integration/Security Sandboxing
- C++
- Fine-Tuning & Transfer Learning
- Full-Stack Development (React, Node.js, Express)
- Python AI Model Training
Core Competencies
- Effective Presentation Skills
Preferred Career Paths
First priority: AI/ML Engineer
Second priority: Software Engineer
Third priority: Data Scientist
Experience
Leadership / Meta-curricular
- Events Cabinet Member, Habib University Student Government
- Security Team Lead - Hucon, Multiverse Club
- Orientation Leader
- Career Services Ambassador
- Career Connect Event Manager
Internship / Volunteer Work
- Cybersecurity Intern, K-Electric (June – August 2025)
Publications / Creative Projects
- Research Paper – Research paper on "Automating ROP Diagnosis and Severity with Deep Learning", published at IEEE 22nd International Conference on Smart Communities (HONET 2025).
Final Year Project
Project Title
ML-Powered Predictive Fault Management in Power Distribution Systems for K-Electric's Power Grid
Description
My FYP, developed in collaboration with K-Electric, aims to build Karachi's first machine learning-based system for predicting power outages before they occur. The system uses historical fault data, weather patterns, and grid load information to train predictive models that identify high-risk areas and time windows for outages. The goal is to enable proactive maintenance, reduce unplanned downtime, and improve reliability for a grid serving 20 million+ people. Key components include a feature store for structured data pipelines, a Random Forest-based classifier and regressor, and smart retraining logic to keep the model up to date. The project directly addresses a critical infrastructure challenge in Karachi.
Project Pictures
