HAFIZ MUHAMMAD BILAL

AI-Driven Software Engineer & Machine Learning Specialist

Overview

Final-year Computer Science student at LUMS with expertise in building machine learning pipelines and end-to-end software systems using Python, PyTorch, and MERN stack. Currently developing a style-locked radiology reporting assistant, he combines strong technical skills in AI for healthcare with experience in full-stack web and mobile development.

Lahore, Pakistan

Experience

Jul 2025 – Dec 2025

WORK

Teaching Fellow

National Outreach Program (NOP), LUMS

Lahore, Pakistan

Designed and delivered workshops on problem-solving and university readiness for 54 students from diverse backgrounds across Pakistan; mentored students one-on-one and in small groups.

•Designed and delivered workshops on problem-solving and university readiness for 54 students from diverse backgrounds across Pakistan

•Mentored students one-on-one and in small groups

2023 – May 2023

PART_TIME

Teaching Assistant, Arabic Language Course

Lahore University of Management Sciences (LUMS)

Lahore, Pakistan

Led tutorials, evaluated assignments, and provided one-on-one mentorship for 25 undergraduates.

•Led tutorials

•Evaluated assignments

•Provided one-on-one mentorship for 25 undergraduates

Jun 2022 – Dec 2022

INTERNSHIP

IT Intern

Information Systems & Technology Department, LUMS

Lahore, Pakistan

Triaged hardware/software support tickets; managed user account provisioning and proposed workflow improvements that reduced average ticket turnaround.

•Triaged hardware/software support tickets

•Managed user account provisioning

•Proposed workflow improvements that reduced average ticket turnaround

Key Achievements

→Proposed workflow improvements that reduced average ticket turnaround

Project Portfolio

ACADEMIC

Present

Style-Locked Radiology Reporting Assistant (Final Year Project)

Lead Developer

Designing a native Android application in Android Studio (Java/Kotlin) for AI-assisted radiology reporting, with UI/UX prototyped in Figma and implemented using Android XML layouts. Building and integrating RESTful APIs to connect the Android frontend with LLM-powered backend services for structured, style-locked healthcare report generation. Testing and iterating on the application using Android Emulator; exploring prompt-engineering techniques to preserve physician-specific reporting styles.

Android StudioJavaKotlinAndroid LayoutsFigmaLLMsGenerative AIHealthcare AIRESTful APIsAndroid XML

PERSONAL

Present

Real-Time Multiplayer Ludo (Full-Stack Web Development – MERN)

Full-Stack Developer

Engineered a 2–4 player real-time browser-based Ludo game with server-authoritative logic, Socket.IO event-driven state sync, and JWT cookie auth. Designed room architecture and rules engine; live state in memory with MongoDB persistence for users, match history, and coin rewards; containerized with Docker.

Node.jsExpressTypeScriptReactSocket.IOMongoDBDockerJWT

ACADEMIC

Present

Peer Tutoring Marketplace (Native Android App)

Android Developer

Collaborated in a Scrum-based team with regular sprints and code reviews to deliver a native Android marketplace with tutor discovery, one-on-one and group session booking, and an integrated Q&A board. Architected the data layer with the Repository pattern for testability; integrated Stripe checkout and built a quiz generator with attempts, review screens, and result history.

JavaAndroid SDKFirebase FirestoreStripeMaterial DesignGradleRepository Pattern

PERSONAL

Present

EmotiLog (Android Emotion Tracking App)

Developer

Shipped a native Android mood-logging app with real-time tracking across 9 emotion categories, persistent local storage, and MVC architecture using the Singleton pattern (LogManager).

JavaAndroid SDKMVCSharedPreferencesSingleton Pattern

ACADEMIC

Present

StudySync Analytics (ML Academic Performance Predictor)

ML Engineer

Trained a Random Forest classifier on 277+ student records; engineered 24 features, validated via 5-fold cross-validation, and analyzed feature importance for key performance drivers.

Pythonscikit-learnpandasNumPyRandom Forest