Muhammad Ali Hassan

Lahore University of Management Sciences (LUMS)

prof_pic.jpg

25100003@lums.edu.pk
+92-333-6018187

I am a Bachelor of Science (BS) – Computer Science (CS) student in my final year of undergraduate studies at Lahore University of Management Sciences (LUMS). My ambition is to build the next generation of mega-scale distributed and embedded systems that also strengthen and uplift underserved communities.

But if you ask me where that ambition truly sparked, I’d say it began in the flood-prone streets of Multan, in the underdeveloped southern Punjab. Growing up, I witnessed stark inequities—some communities prepared for natural disasters, while others were left powerless; some had reliable healthcare, while others struggled with even the basics. Seeing that divide shaped my sense of responsibility: I knew technology could help bridge those worlds.

At LUMS, every hands-on IoT field study, every blockchain-powered workflow, and every AI-driven healthcare project has reinforced my belief that well-designed, large-scale systems can uplift the very communities too often overlooked by progress. Now, as I approach graduation, I’m more determined than ever to unite my passion for distributed architectures with my drive to serve the underprivileged—by creating transformative solutions that level the playing field and empower people, no matter where they live.

Education

LUMS, School of Science & Engineering
B.S. Computer Science (Sep 2021 – May 2025)

  • Coursework: Distributed Systems, Blockchain, Topics in IoT, Operating Systems, Network Security, Topics in LLMs, Network-Centric Computing, Machine Learning
  • Exchange Semesters: University of Baltistan (Summer 2023)

Bloomfield Hall School | Cambridge A Level (Aug 2018 – May 2020)

  • Grades: Math(A), Physics(A), Chemistry(A*)

Research Experience

Blockchain-Based AI Model Governance and Auditable Policy Compliance System

Research Assistant — Cloud Computing Research Lab (CCRL), LUMS (Jun 2024 – Present)
Advisors: Dr. Basit Shafiq (LUMS), Dr. Jaideep Vaidya (Rutgers)

  • Developing a blockchain platform with BPMN workflows and LLMs for secure, decentralized, policy-compliant access to AI models and healthcare datasets.
  • Co-authoring a research paper detailing the system’s infrastructure and applications in policy-compliant medical research.
  • Engineered an LLM-based workflow architecture to generate BPMN diagrams and recommend datasets/models from natural language queries, improving workflow usability.
  • Achieved interactive survival analysis (Cox model/Kaplan-Meier) for 400K+ patients, bridging LLMs, on-chain policies, and data processing.
  • Created a React front end with BPMN Modeler, RESTful APIs, and Web3/INFURA integration (Sepolia Testnet).

Dynamic IoT Surveillance for Fire-Prone Regions

Research Apprentice — IoT Lab, LUMS (Sep 2024 – Present)
Advisor: Dr. Murtaza Taj

  • Developing an IoT-based forest fire detection system with Hikvision IP cameras for real-time monitoring in Pakistan’s fire-prone regions.
  • Optimized Pan, Tilt, and Zoom to recursively capture overlapping images, localizing hotspots via CLIP-based LLM & YOLO.
  • Integrated OpenCV-based GIF workflows for easier visualization and early alerts.

Identifying Bottlenecks in Deploying LLMs on Resource-Constrained Devices

Researcher — Topics in Large Language Models (Sep 2024 – Present)
Advisors: Dr. Ihsan Ayyub Qazi, Dr. Zafar Ayyub Qazi

  • Investigating how a 2-bit quantized Llama 3.2 (1B parameters) can run on older Android devices.
  • Monitoring memory usage and latency via Ollama & ADB, identifying memory bottlenecks and potential optimizations.
  • Motivated by the goal of equitable AI access for underserved populations.

Security Vulnerabilities in Battery-less IoT Devices

Researcher — Topics in IoT (Jan 2024 – May 2024)
Advisor: Dr. Naveed Anwar Bhatti

  • Investigated critical security flaws in battery-less IoT setups, analyzing unique charge/discharge cycles with Mementos.
  • Demonstrated how resource-limited IoT systems require tailored safeguards against malicious exploitation.

Work Experience

US based Stealth Startup - Research Intern

Neuroscience-Inspired AI Systems (Jan 2025 - Present)
Advisor: Dr. Asim Iqbal (Adjunct Assistant Professor, Weill Cornell Medicine)

  • Exploring neuroscience-inspired machine learning frameworks to enhance cognitive model efficiency, focusing on scalable distributed systems and real-time applications.

Centre for Water Informatics & Technology at LUMS - Research Intern

Cost-Effective AIoT Flood Monitoring System (Jun 2024 – Aug 2024)
Advisor: Dr. Talha Manzoor (Assistant Professor, LUMS)

  • Developed a cost-effective Edge AIoT system using ESP-32 Cam for real-time flood and wildlife monitoring in northern Pakistan, enhancing disaster preparedness and environmental protection.
  • Built a low-cost Edge AIoT system using ESP-32 Cam to detect floods and wildlife.
  • Integrated YOLOv5 & LLM on microcontrollers, achieving detection at 1/10 the cost of standard systems.
  • Employed GSM modules & sleep modes to handle limited connectivity and power constraints in remote regions.

Teaching Experience

Teaching Assistant — School of Science & Engineering, LUMS (Aug 2022 – May 2024)

  • CS 3812, EE 3812 — Blockchain: Technology and Applications (Spring 2023)
    • Led weekly office hours and tutorials for ~40 graduate/undergrad students on Solidity and JavaScript-based contract deployment.
    • Enhanced course content by developing assignments, quizzes, and exam questions, dedicating ~20 hours/week to student support.
  • CS 100 — Computational Problem Solving (Fall 2022 & Summer 2022)
    • Served as Head TA, managing a team of 4 TAs, overseeing lab logistics, and coordinating tutorials to support 200+ students.
    • Mentored C++ programming labs covering control flow, functions, data structures, and guided 20+ students across 6 project groups.
  • CS 210 — Discrete Mathematics (Fall 2023)
    • Guided students on set theory, logic, combinatorics, graph theory, and proofs, providing assignment support and office hours to ensure strong academic performance for 200+ students.

Other Projects

  • Distributed, Fault-Tolerant Key-Value Store | Golang (Sep–Dec 2023)
    Implemented a Raft-based store with leader election & log replication.
  • Distributed Hash Table | Python (Feb–May 2023)
    Used socket programming and peer-to-peer architecture with failure tolerance.
  • RAG-Based Researcher Chatbot | Python, LangChain, Pinecone, FAISS (Sep–Nov 2024)
    Constructed a retrieval-augmented generative chatbot for research paper Q&A.
  • Oracle Cloud Electricity Billing System (Oct–Dec 2024)
    FastAPI, Nginx, and SQL-based deployment on Oracle Cloud with a scalable three-tier architecture.
  • Recruitment and Onboarding | MERN Stack (Jan–May 2024)
    Built a recruitment platform featuring video uploads, interactive chat, and intuitive UI.
  • Trading App | MERN, Web Sockets (Mar–May 2024)
    Designed a real-time trading platform with instant offer updates and real-time synchronization.
  • Command-Line Shell | C (Sep–Nov 2023)
    Replicated UNIX shell functionalities, including pipelining and chaining.

Awards

  • Dean’s Honor List (2021–2022)
  • Merit Scholarship in LUMS (2021–2022)
  • Winner of Startup Incubator — Ideation Academy (2023)
  • 100% Merit Scholarship in A’ Levels

Skills & Toolkit

  • Languages: Python, Golang, Solidity, JavaScript, TypeScript, C, C++, Haskell, SQL, HTML/CSS
  • Frameworks: MERN, LangChain, YOLO, Pinecone, OpenCV
  • Tools/Platforms: Smart Contracts, Arduino IDE, MetaMask, XACML, BPMN, Oracle Cloud, Hikvision API, Open AI, Git, Linux (Putty, WinSCP), MongoDB
  • Certifications: Fundamentals of Accelerated Data Science (NVIDIA)

Leadership & Community

  • Co-Founder & General Secretary – E-Gaming at LUMS (May 2023 – June 2024)
    Hosted high-profile esports events with 1000+ attendees, 200K PKR sponsorships, and a 50+ member team.
  • Peer Ambassador for Social Support – LUMS (Sep 2023 – June 2024)
    Mentored freshmen academically and socially, guiding them through university structure.
  • Committee Director – LUMS Model United Nations (May 2023 – May 2024)
    Organized a large-scale international conference, scheduling 20+ academic sessions, managing multi-venue operations.
  • Director Media – SPADES & DANCELUMS (May 2021 – May 2023)
    Led media coverage teams of 10+ for PSIFI and major events, reaching an audience of 50,000+ via creative campaigns.

Misc

Besides my deep interest in large-scale distributed solutions, I love gaming—with God of War as one of my all-time favorites—and I’m an avid traveler. I’ve journeyed to some of the most remote, hard-to-access areas in northern Pakistan, including Chuda Valley. A major future goal of mine is to visit the K2 base camp and ultimately climb Tiger Peak (nicknamed “mini K2”).

Best way to contact me is via Email.