Muhammad Huzaifa
NUST
· 2026
·
407955
Email
mhuzaifa.bee22seecs@seecs.edu.pk
Phone
923250598076
GitHub
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Academic
Program
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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
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Career
Current role
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Target role
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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