Huzaifa Akhtar

PROFESSIONAL PROFILE Versatile Electrical Engineering student with a unique passion for bridging the gap between hardware and software. My technical expertise spans the full stack: from designing low-level architectures using Verilog/RISC-V and FPGAs to developing high-level software solutions. I am experienced in building machine learning pipelines with Python, creating data-driven web applications, and developing desktop software. I thrive at the intersection of these fields, building systems where efficient hardware meets intelligent software EDUCATION Matric Liaquat Foundation High School , Lahore , 1100 (2020) F. Sc Unique College Lahore , Lahore , 947 (2022) INTERNSHIP EXPERIENCE Al-Khidmat Foundation 01-Jun-2023 - 01-Sep-2023 Social Media Compaign Managment Nust Chip Design Center 01-Jun-2026 - 01-Sep-2026 Implemented an AXI-AHB bridge module to handle signal synchronization and data transfer between different bus architectures FINAL YEAR PROJECT An AI-based diagnostic involving X-ray images and facial photos to detect multiple diseases AI-Based Multi-Modal Disease Diagnostic System "Developed a dual-input diagnostic system that leverages Computer Vision and Deep Learning to detect multiple pathologies. The system fuses medical X-ray imagery with facial biomarker analysis to improve diagnostic accuracy. Designed to potentially run on edge devices, the project explores optimizing Convolutional Neural Networks (CNNs) for efficient inference on embedded hardware, aiming to provide accessible healthcare solutions." TECHNICAL EXPERTISE HDLs & Architectures Verilog, SystemVerilog, RISC-V Processor Design, Computer Architecture (Pipelining, Tomasulo’s Algorithm, Cache Memory) Microcontrollers & IoT Arduino, ESP8266/ESP32, PLC Programming (Ladder Logic), IoT Sensor Integration (Air Quality Monitors) Artificial Intelligence & Computer Vision Machine Learning: Supervised Learning, SVM Classifiers, Neural Networks (CNNs). Computer Vision: OpenCV, Object Detection (YOLO), Feature Extraction (SIFT, Harris Corners, Optical Flow), Image Segmentation. Projects: Multi-modal Disease Detection (X- ray + Facial biomarkers), Hand-movement Game Control.

Versatile Electrical Engineering student with a unique passion for bridging the gap between hardware and software. My technical expertise spans the full stack: from designing low-level architectures using Verilog/RISC-V and FPGAs to developing high-level software solutions. I am experienced in building machine learning pipelines with Python, creating data-driven web applications, and developing desktop software. I thrive at the intersection of these fields, building systems where efficient hardware meets intelligent software