Full-stack developer & ML practitioner building end-to-end systems — from predictive models deployed on AWS to C++ engines grounded in DSA and OOP.
I'm a Software Engineering student at ITU (Information Technology University, Lahore), graduating in 2027. I build real things — not just coursework.
My work spans full-stack web development, machine learning pipelines, C++ systems programming, and cloud deployment on AWS. I care about shipping complete, working solutions.
I'm looking for an internship where I can contribute meaningfully from day one and keep growing fast. I learn by building, and I build quickly.
Trained and compared Ridge Regression, Linear Regression, and Random Forest models on two semesters of student data to predict third-term performance. Ridge Regression yielded the best accuracy. Deployed as a live REST API on AWS.
Built a deep learning pipeline to classify 8 emotional states from speech audio, extracting 128-dimensional MFCC features per sample using Librosa and training a 2-layer LSTM network with dropout regularization. Achieved ~60% test accuracy on this 8-class task, in line with known difficulty benchmarks in speech emotion recognition literature.
C++ tool that parses resumes, scores applicants against job requirements, and maps peer relationships using Dijkstra's algorithm on a graph structure. Uses queues, stacks, and heaps for ranking.
OOP-based C++ system managing patients, junior and senior doctors, appointment booking, and automated billing. Built around clean class hierarchies and real-world hospital workflows.
Frontend web application for managing student records with full CRUD functionality. Used LocalStorage as a client-side database — no backend required.
Full system tracking room availability, occupancy, pricing, and booking durations. Paired with complete software documentation — SRS, ER diagrams, and DFDs.
Fully dynamic cafe website with a responsive frontend deployed on AWS as part of a Cloud Computing course. Demonstrates end-to-end deployment skills.
Completed a structured virtual Machine Learning internship at CodeAlpha, delivering applied ML tasks within set deadlines — spanning data preprocessing, feature extraction, model training, and evaluation. Earned a Certificate of Completion and a Letter of Recommendation recognizing strong analytical skills, quick adoption of emerging technologies, and collaborative teamwork.
Completed a structured virtual C++ internship working through progressively challenging programming tasks within set deadlines. Applied core C++ concepts and data structures to deliver assigned projects, earning a Certificate of Completion for dedication and timely delivery.
Open to internships, collaborations, and interesting problems.