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Muhammad Huzaifa

NUST · 2026 · 407955
Email
mhuzaifa.bee22seecs@seecs.edu.pk
Phone
923250598076
LinkedIn
https://www.linkedin.com/in/muhammad-huzaifa-770293398
GitHub

Academic

Program
CGPA
2.71
Year
2026
Education
BE Electrical Engineering SEECS, NUST, Islamabad , Islamabad , 2.7 (2026)
Address
House no.7 , Street no 4 wasli chowk college town , Vehari , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Electrical engineering graduate from a Pakistan top-ranked university, proficient in Quartus intel, Vivado, Google colab, ModelSim, Protues, Pspice, Labview, Matlab Simulation, AutoCAD, Atmel Studio and Visual studio. Extensive experience in technical expertise, innovative problem-solving, and hands-on experience in circuit design, control systems, power electronics, and process optimization using AI. Eager to use AI and ML to develop a FPGA-based AI accelerator system for different disease. EDUCATION BE Electrical Engineering SEECS, NUST, Islamabad , Islamabad , 2.7 (2026) INTERNSHIP EXPERIENCE System on chip (SoC), SINES, NUST,Islamabad 01-Aug-2024 - 15-Sep-2024 •Completed 1.5 month research internship at SoC Lab, SINES, NUST. •Worked on processor design with Verilog, simulation, and hardware testing. •Completed 11 lab sessions demonstrating strong grasp of digital systems. System on chip (SoC), SINES, NUST, Islamabad 15-Jun-2025 - 15-Sep-2025 •Developing an FPGA-based AI accelerator for pneumonia and tuberculosis detection in X-ray images. •Implementing Vision Transformers (ViT) and CNN with FPGA optimization for real-time, low-latency inference. •Conducted literature review of 50+ research papers on AI accelerators and medical imaging. Upwork, Fiverr 01-Aug-2023 - 16-Jan-2026 •Completed Electrical engineering tasks (e.g., circuit analysis, control systems, DSP, verilog codes). •Delivered simulation based solutions using tools like MATLAB, Multisim, and Proteus. •Assisted with Verilog coding, system modeling, and project debugging remotely. FINAL YEAR PROJECT Edge-AI Accelerator: FPGA-Powered Real-Time Diagnosis and Report Generation •Developing an FPGA-based AI accelerator for pneumonia and tuberculosis detection using chest X-ray images. •Implementing Vision Transformers (ViT) and CNN models with FPGA optimization for real-time, low-latency inference. •Integrating LLMs (e.g., MedGemma) for automated medical report generation to assist clinical diagnosis. TECHNICAL EXPERTISE Technical proficiency C / C++ / Embedded C / Verilog HDL / Assembly / RISCV / Quartus / ModelSim / Vivado / MATLAB / Proteus / Pspice / FPGA Design / Computer Architecture / AI Accelerators / Signal Processing

AI enrichment

Electrical engineering graduate from a Pakistan top-ranked university, proficient in Quartus intel, Vivado, Google colab, ModelSim, Protues, Pspice, Labview, Matlab Simulation, AutoCAD, Atmel Studio and Visual studio. Extensive experience in technical expertise, innovative problem-solving, and hands-on experience in circuit design, control systems, power electronics, and process optimization using AI. Eager to use AI and ML to develop a FPGA-based AI accelerator system for different disease.
Status: ai_done
Provenance
Source file:
Created: 1777448793