Portrait of Syed Muhammad Aqdas Rizvi

Syed Muhammad Aqdas Rizvi (smarizvi110)

Computer Science Researcher | Systems, Networks, HCI & Applied AI

Karachi, Pakistan

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About

Computer Science researcher and LUMS alumnus specializing in the intersection of Systems & Networks, Human-Computer Interaction (HCI), and Applied AI. Sole author of an IEEE-published paper on transport-layer scheduling. Proven ability to engineer low-level protocols (C++, ns-3) and architect scalable, user-centric AI applications (Rust, Python). Currently utilizing a gap year in enterprise cybersecurity to study the practical constraints, threat models, and operational bottlenecks of large-scale distributed systems. Eager to bring this blend of theoretical rigor and real-world systems perspective to complex, cross-cutting problems in a top-tier graduate research group.

Research Interests

Computer Networks, Distributed Systems Architecture, Systems Programming, Human-Computer Interaction (HCI), and Applied Artificial Intelligence.

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Education

BS Computer Science (Graduation with Merit / Cum Laude)

Aug 2021 – Jul 2025

Lahore University of Management Sciences (LUMS) | Lahore, Pakistan

Relevant Coursework: Networks and Systems, Data Structures/Algorithms, Software Engineering, Operating Systems, Databases, AI & ML, Natural Language Processing.

Publications & Preprints

2025

S. M. A. Rizvi. "A Case for CATS: A Conductor-driven Asymmetric Transport Scheme for Semantic Prioritization." Proceedings of the 6th International Conference on Innovative Computing (ICIC 2025). Published in IEEE Xplore.

2024

S. M. A. Rizvi. "A Literature Review of Keyword Spotting Technologies for Urdu." Independent Technical Report.

Research Experience

Independent Researcher

May 2024 – Present

Karachi, Pakistan

  • Conceived, designed, and evaluated CATS, a novel framework endowing TCP with semantic priority awareness, culminating in a sole-author publication on IEEE Xplore. [View Project]
  • Engineered a custom C++ TCP socket implementation within the ns-3 network simulator, utilizing an "Interceptor and Feeder" architecture seamlessly operating alongside the TCP BBR congestion control algorithm.
  • Designed a sophisticated two-threshold hysteresis intra-flow fairness mechanism to prevent starvation of low-priority data.
  • Executed a rigorous, representative worst-case webpage download simulation, extracting verifiable PCAP traces using a custom TCP Option (Kind 253).
  • Proved a 78.7% improvement in First Contentful Paint (FCP) by intelligently reordering packet transmission, radically improving user-perceived QoE with negligible overhead to total load time.

Student Researcher under Dr. Agha Ali Raza

Jan 2024 – May 2024

Center for Speech and Language Technologies (CSaLT) | Lahore, Pakistan

  • Conducted a comprehensive literature review of Keyword Spotting (KWS) technologies, focusing specifically on Urdu.
  • Analyzed current acoustic modeling challenges and proposed architectural solutions to advance accessibility in low-resource AI environments, publishing the findings as an independent arXiv preprint.

Student Researcher under Dr. Muhammad Sabieh Anwar

Jul 2019 – Jul 2021

PhysLab | Lahore, Pakistan

  • Investigated Faraday's Law of Electromagnetic Induction; co-authored the official experiment manual and developed MATLAB scripts for automated data processing, both published on the laboratory's platform. [View Project]
  • Refined experimental setups for Surface Plasmon Resonance to significantly improve measurement accuracy.

Work Experience

Cybersecurity Consultant (Information & AI Security)

Nov 2025 – Present

Risk Associates | Karachi, Pakistan

  • Translating abstract security and compliance requirements (ISO/IEC 27001 & 42001) into concrete, system-level controls spanning software architecture, data governance, and access control networks.
  • Conducting threat modeling and risk assessments for enterprise infrastructures, gaining deep practical insight into real-world distributed systems vulnerabilities and mitigation strategies.
  • Assisting in the design of AI Management Systems, providing hands-on exposure to emerging challenges in AI governance, model lifecycle oversight, and secure pipeline architecture.

Software/ML Engineer (Final Year Project)

Sep 2024 – May 2025

AI in Healthcare Initiative (AIHI), LUMS | Lahore, Pakistan

  • Developed MigraineAid, an applied machine learning platform to help sufferers predict attack occurrences.
  • Implemented a high-performance backend in Rust to ensure memory safety and fast data processing for real-time analytics, integrating Firebase and Firestore for scalable data management.
  • Contributed to ML model development pipelines and built a secure frontend dashboard in JavaScript for researchers.

Software Engineering Intern

Dec 2024 – Jan 2025

TeReSol (for Bank AL Habib Limited) | Karachi, Pakistan

  • Engineered reusable micro-frontend components for core banking software utilizing a finite state machine (FSM) to manage strict user workflows and API integrations under high-security banking constraints.

Selected Projects

Feb 2024 – May 2024

LLM-4-LLU: Large Language Models for Low Literacy Users

Python Whisper-1 GPT-3.5/4 WhatsApp API
  • Architected a system providing robust LLM access via WhatsApp, enabling voice-driven AI interfaces for low-literacy users.
  • Engineered the backend for scalability, successfully handling over 500 concurrent users within 48 hours of launch.

Oct 2024

Bump Off!

JavaScript Chrome Extensions Manifest V3
  • Developed an algorithmic Chrome extension to automatically detect and hide spam comments on social media platforms, actively improving end-user interaction and digital QoE for a 50+ user base.

Technical Skills

Languages

C/C++RustPythonTypeScript/JavaScriptC#SQL

Systems & Architecture

Network ArchitectureProtocol DesignDistributed SystemsSystems ProgrammingNetwork Simulation (ns-3)Performance EvaluationOperating Systems Fundamentals

Frameworks & Tools

ReactNode.jsPyTorchTensorFlowDockerKubernetesGitCMakeLaTeXMATLAB

Academic Honors