MUJAHID PATHAN
mujahidpathan017@gmail.com | +91 6302555513 | https://www.linkedin.com/in/mujahid-pathan412 |
https://github.com/mujahid019
Profile
I’m an Electronics and Communication Engineering student with a strong interest in embedded systems, machine
learning, and signal processing. Skilled in Python, C, and Verilog, with experience in tools like Keil, MATLAB,
Cadence, Xilinx Vivado and TensorFlow. Passionate about IoT, FPGA, wireless systems, and automation, I actively
engage in technical events and team-based research, with strong problem-solving and communication skills.
Education
Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
B.Tech in Electronics and Communication Engineering (2022 – 2026) CGPA: 9.42
Narayana Junior College ,Chilakaluri Pet, Guntur, India
Intermediate (2019 – 2021) Percentage: 97.5%
Brilliant High School ,Chilakaluri Pet, Guntur, India
Matriculation (2019) GPA: 10.0
Experience
Wireless Communication Intern - OMACS Sandbox (recognized by MSME startupindia)
May 2025– Jun 2025
Designed and executed 12 hands-on experiments on AWGN, fading channels, path loss, and Doppler effects, achiev
ing a 15% BER improvement using MIMO configurations Modeled SISO/SIMO/MISO/MIMO systems with Python
scripts, enhancing channel capacity estimation accuracy by 20%
AI Intern– Potato Leaf Disease Detection System
TechSaksham (CSR by Microsoft SAP), Edunet Foundation
Jan 2025– Feb 2025
Gained foundational knowledge in machine learning, including supervised learning, data preprocessing, and model
evaluation. Developed a project on Potato Leaf Disease Detection using Convolutional Neural Networks (CNN) for
image classification. Deployed the model with Streamlit for an interactive web-based interface, enabling real-time
prediction of disease types from leaf images.
Embedded Systems Virtual Intern
Microchip Academic Program, Eduskills
April 2025– June 2025
Acquired hands-on experience in embedded systems design using the PIC16F877A microcontroller. Learned micro-
controller architecture, interfacing techniques, and peripheral control. Developed and tested applications involving
sensors, actuators, and LCD displays, with programming done in Embedded C using MPLAB IDE. Built and sim-
ulated circuits to demonstrate real-time automation and control functionalities.
Projects
MRI-PET Image Fusion Using ConvNeXtV2 and Dual-Branch Feature Decomposition (2025)
Python,Kaggle Notebook
Developed a deep learning-based medical image fusion framework combining MRI and PET scans to enhance diag-
nostic accuracy. Utilized ConvNeXtV2 with dual-branch encoders (base and detail) and invertible neural networks
for effective feature separation and integration. Achieved superior structural and functional preservation compared
to existing fusion methods, validated on benchmark datasets using metrics like SSIM, MI, and VIF.
4-bit ALU Design on Nexys-4 DDR FPGA (individual project, 2025)
Verilog HDL, Xilinx Vivado, Nexys-4 FPGA
Designed and implemented a 4-bit Arithmetic Logic Unit (ALU) on the Nexys-4 DDR FPGA board using Verilog.
The ALU supported key operations including addition, subtraction, AND, OR, XOR, and shift functions. Verified
functionality through real-time hardware simulation and display using onboard LEDs and 7-segment displays, em-
phasizing digital logic design and hardware-software interfacing.
Heart Attack Detection System (2024)
Python,ESP32, Blynk, Heart Rate Sensor
Developed a real-time heart monitoring system using ESP32 to detect abnormal heart rates (bradycardia, tachy-
cardia, or zero readings). Integrated with Blynk app for live updates and instant alerts, enabling early heart attack
warnings in resource-constrained environments.
Automatic Street Light System using 8051 and LDR (individual project, 2023)
Embedded C, 8051 Microcontroller(AT89C52), Keil IDE, Proteus Simulation
Developed a weather application that provides real-time weather updates, forecasts, and location-based alerts API
Integ rations. Designed an intuitive user interface for seamless access to weather conditions, enhancing user expe-
rience with interactive visualizations and predictive analytics
Technical Skills
Programming: C, Python
Hardware Description Languages: Verilog HDL
Microcontrollers and Microprocessors: 8051, ARM Cortex M3(LPC1769), PIC16F877A
CAD tools: Vivado, MATLAB, Multisim, Cadence, Keil, Proteus, MPLAB X IDE, EDA Playground
Machine Learning: Scikit-Learn, TensorFlow, Keras, Matplotlib
Certifications
Machine Learning By Infosys Springboard
Basics of Embedded C ProgrammingBy Mindluster
Introduction to Prompt Engineering By EdX
Python 101 for Data Science by Cognitive classes offered by IBM
Soft Skills
- Decision Making - Communication Skills - Leadership - Adaptability -Team player
Areas Of Interest
. VLSI . Image and Signal Processing . Embedded Systems and IOT
Achievements
- Presented a research paper on MRI–PET image fusion at the 16th IEEE ICCCNT held virtually from July 6–11,
2025, hosted by IIT Indore.
- Runner up in the competition “The Art of Image Processing: A MATLAB based competition” organized by joint
chapter of IEEE SBC and IEEE SPC Societies
