Mysha

Mysha

Ismat & Mustafa Kassam HU TOPS Scholar

Graduate of 2026
BS Electrical Engineering

Aspiration Statement

I am passionate about building systems that scale: from cloud networking and automation pipelines to academic research workflows. Highly motivated to apply CV, AI, and robotic technologies to sustainability-focused domains.

Core Skills

  • Autoware
  • C++
  • Matlab/Simulink
  • Nav2
  • Python
  • ROS2

Core Competencies

  • Acts with Ownership
  • Adaptability
  • Collaborates Openly
  • Takes Initiative

Preferred Career Paths

First priority: Robotics Engineer

Second priority: AI Engineer

Third priority: Product Support and System Designing

Experience

Leadership / Meta-curricular

  • Deputy Director General
  • Curriculum Lead
  • Project Lead, Gaming Club Habib Debate Union
  • Food & Hygiene Cabinet Member, Habib University Student Government
  • Emerge - Mentor, Young Leaders Club

Internship / Volunteer Work

  • Intern, AKUH - Aspire Internship (June 2025 – August 2026)
  • Undergraduate Researcher, Summer Takhleeq Research Programme (June 2025 – August 2026)
  • Teaching Assistant - Calculus I, Habib University (August – November 2025)
  • Teaching Assistant - Engineering Mathematics, Habib University (August – November 2025)

Final Year Project

Project Title

Autonomous Tow Truck - Enhanced Safety and Object Detection

Description

Toyota Indus Motor Company is encountering logistical challenges in the internal transportation of car parts within its factory, and the current partially automated tow truck lacks reliable lateral and rear/lateral obstacle awareness and short-horizon prediction, creating blind-spot safety risks, especially with multi-trailers. We must design, implement, and validate an integrated, regulation-compliant 360° perception prediction control stack, which includes multi-sensor fusion and predictive planning that detects lateral/rear hazards in real time and executes collision-free maneuvers, fixing current blind-spot and prediction gaps for production deployment. Furthermore, we aim to enhance the localization capabilities of the tow truck so it can identify where it is in its environment.

Project Pictures