Ali Ahsan

PROFESSIONAL PROFILE Passionate Electrical Engineer with a strong foundation in hardware design, embedded systems, and combined with growing expertise in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. Highly motivated to apply interdisciplinary skills in Verilog, embedded programming, and data-driven algorithms to design intelligent, efficient, and scalable engineering systems. Seeking opportunities to bridge hardware and AI-driven solutions while contributing to innovation in next-generation electronic and intelligent technologies. EDUCATION BEE (Bachelor of Electrical Engineering) SEECS (School of Electrical Engineering and Computer Science) , Islamabad , 3.50 (4) INTERNSHIP EXPERIENCE Xcelerium 03-Nov-2025 - 19-Jan-2026 Project Title: Custom RISC-V Embedded Linux Distribution Role: Systems Engineer / Embedded Software Developer Description: Built a minimal Linux OS from source using Buildroot targeting RISC-V 64-bit architecture. Configured and optimized Linux Kernel v6.x, stripping unnecessary subsystems to reduce boot time and memory footprint. Developed a custom root filesystem integrating BusyBox and user-space applications. Emulated and tested the OS image with QEMU, validating boot flows and hardware interfaces. Key Skills: Linux Kernel configuration, Buildroot, RISC-V, BusyBox, QEMU, embedded OS optimization. SEECS 10-Jun-2025 - 26-Aug-2025 Project Title: Design of Drone Control System using Reinforcement Learning Role: Embedded Engineer & Model Trainer Description: Developed a reinforcement learning–based drone control system by training high-fidelity 6-DoF quadrotor models in Unity ML- Agents. Deployed the learned control policy on an Arduino Mega controller, enabling real-world flight execution. Implemented Wi-Fi– based short-range communication and integrated onboard sensors: IMU (gyroscope) for attitude stabilization and barometric sensor for altitude estimation. Optimized reward functions and control parameters to achieve stable take-off, hovering, and landing. Evaluated system performance against classical nonlinear control methods, demonstrating improved robustness and adaptability to disturbances. Key Skills: Reinforcement learning, Unity ML-Agents, embedded control, Arduino integration, sensor fusion, control system optimization, 6-DoF drone modeling. FINAL YEAR PROJECT Baymax: Your Personal Health Companion Role: Embedded Systems & AI Developer Description: Designed and developed a personal health monitoring robot capable of analyzing patient health using LLMs and custom-trained models deployed on-edge with Jetson Orin Nano. Implemented rPPG-based heart rate detection via camera and analyzed voice-based health data via microphone for disease-related signals. Integrated temperature sensor for body temperature monitoring and touchscreen display on the torso for interactive user interface. Integrated camera and speaker interfaces for real-time interaction, speech communication, and friendly UX. Packaged the system inside a 3D- printed humanoid robot body for user-friendly design. Enabled automatic health report generation and anomaly alerts, sending notifications to doctors via email for critical conditions. Optimized edge deployment of AI/LLM models, ensuring real-time performance without relying on cloud computing. Key Skills: Embedded AI, Edge Computing, rPPG, LLMs, Jetson Orin Nano, sensor fusion, computer vision, speech processing, temperature sensing, 3D-printing, healthcare applications.

Passionate Electrical Engineer with a strong foundation in hardware design, embedded systems, and combined with growing expertise in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. Highly motivated to apply interdisciplinary skills in Verilog, embedded programming, and data-driven algorithms to design intelligent, efficient, and scalable engineering systems. Seeking opportunities to bridge hardware and AI-driven solutions while contributing to innovation in next-generation electronic and intelligent technologies.