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AI Engineer with 2+ years in Machine Learning & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate at FAST NUCES with a strong foundation in machine learning, data science, and statistical analysis. Demonstrated analytical excellence through ICPC Asia Top Qualifier - Top 50 in Pakistan (2025) and Dean's List recognition. Proven ability to build end-to-end ML pipelines, deploy full-stack applications, and lead cross-functional teams. Seeking AI/ML or Software Engineering roles where I can leverage hands-on project experience and academic excellence.
FAST NUCES
B.Sc. Computer Science · Computer Science
August 1, 2023 – Present
Crescent Model H.S.S
A-Level
June 1, 2019 – May 31, 2023
Crescent Model H.S.S
O-Level
June 1, 2019 – May 31, 2023
FAST NUCES
Teaching Assistant
August 1, 2024 – Present
Lahore, Punjab, Pakistan
Entracloud
Software Engineering Intern
June 1, 2024 – August 1, 2024
Lahore, Punjab, Pakistan
Resume Screening AI
June 26, 2026 – Present
Built an end-to-end resume screening system using TF-IDF vectorisation and cosine similarity to rank candidates against job descriptions. Auto-extracts 500+ technical skills and automatically detects experience level and education tier from unstructured PDF text. Processes 1,000 resumes in under 5 seconds using smart caching; skill extraction accuracy 80-90%; education parsing accuracy 85-95%. Deployed interactive real-time dashboard with Excel/CSV export and candidate comparison view.
Telco Customer Churn Prediction
June 26, 2026 – Present
Built an end-to-end ML pipeline on a 7,043-record Telco dataset with leakage-safe preprocessing, one-hot encoding, StandardScaler, and stratified 80/20 train-test split. Compared 4 classification models (Logistic Regression, Decision Tree, KNN, Random Forest); achieved highest accuracy of 82% with Random Forest. Documented full model evaluation with confusion matrices, ROC curves, and feature importance plots.
Social Media Analytics Dashboard
June 26, 2026 – Present
Built interactive analytics dashboard supporting Twitter, Instagram, Facebook, and LinkedIn data, featuring engagement heatmaps and hashtag trend analysis. Processed 10,000+ posts with sub-second query response time; integrated AI-driven content strategy recommendations using NLP sentiment analysis. Delivered actionable insights for social media managers through automated weekly performance reports.
Student Score Predictor
June 26, 2026 – Present
Built a leakage-safe ML pipeline predicting Midterm-I, Midterm-II, and Final Exam marks from student behavioural and demographic features. Evaluated models across MAE, RMSE, and R² metrics with bootstrapped 95% confidence intervals for robust performance estimation.
Dynamic Pathfinding Agent
June 26, 2026 – Present
Implemented A* and Greedy Best-First Search algorithms with real-time obstacle injection for dynamic grid navigation. Compared algorithm performance across heuristic strategies; visualised pathfinding behaviour on randomised grid environments.
Planora - Digital Planner
June 26, 2026 – Present
Built a full-stack web application for dynamic user schedule management with persistent data handling and real-time UI updates.
Online Game Store
June 26, 2026 – Present
Designed and implemented a normalised relational SQL database to manage game inventory, user accounts, and transaction records. Applied 3NF normalisation; built stored procedures for inventory management and order processing workflows.
Mini Operating System
June 26, 2026 – Present
Built a mini OS from scratch in C++, implementing process lifecycle management, CPU scheduling algorithms, and memory allocation. Included app-layer abstractions demonstrating inter-process communication and basic filesystem operations.
TensorFlow & Python
Great Learning
June 1, 2026 – Present
Professional Content Writing & Copywriting
Evolution Magazine
June 1, 2026 – Present
Technical Writing: GitHub Documentation & Medium Publishing
Entracloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI/ML applications to operating system development and web applications, indicates a broad interest in computer science and a willingness to explore different domains. Their involvement in Amnesty International as Vice President suggests a commitment to social causes and leadership, which can contribute positively to team dynamics and company culture. The academic achievements (Dean's List, Valedictorian) and continuous learning (certifications) demonstrate a strong work ethic and a drive for excellence. The candidate's profile aligns well with a culture that values innovation, continuous learning, and impactful contributions.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in optimizing algorithms and building complex ML systems. Their role as a Teaching Assistant and Vice President indicates leadership potential, mentorship abilities, and strong communication skills. The ability to manage multiple courses and lead campaigns suggests good organizational skills and the capacity to work in a structured environment. The technical writing certifications and blog posts highlight a commitment to clear communication and knowledge sharing, which is valuable for team collaboration and documentation.