Muhammad Hussnain

Academic

Career

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Muhammad Hussnain
Cell: 03080004790 |  Email: hussnainengineer456@gmail.com
LinkedIn: https://www.linkedin.com/in/hussnain-iftikhar-065879371/
Address: HOUSE NO 90, CANAL GARDEN, WEST CANAL ROAD, FAISALABAD , Faisalabad , Pakistan
PROFESSIONAL PROFILE
Electrical Engineering Undergraduate at NUST | In-Memory Computing & AI on SoCs | Data, Operations & Process Improvement
Enthusiast
Hi, I’m Muhammad Hussnain, an Electrical Engineering undergraduate at NUST Islamabad with a strong foundation in embedded
systems and advanced computing, paired with a growing focus on data analytics, operations, and business impact.
My Final Year Project centers on in-memory computing and transformer-based models on SoCs, where I’m working with hardware-
aware AI, signal processing, and real-time optimization. This has strengthened my ability to think at both system and architectural
levels—balancing performance, efficiency, and practical constraints.
Alongside my technical work, I’ve actively upskilled in Power BI, Six Sigma (Yellow Belt), and supply chain fundamentals, and gained
hands-on experience through internships and leadership roles in student-led initiatives. I enjoy applying structured, analytical thinking
to improve processes, analyze performance, and turn complex data into actionable insights.
I’m currently exploring opportunities in management trainee programs, operations, supply chain, and data/business analytics,
especially in environments that value continuous improvement and cross-functional thinking.
Open to internships, graduate programs, and collaborative opportunities across technology, analytics, and operations.
EDUCATION
Electrical Engineering
School of Electrical Engineering & Computer Science , Islamabad (2026)
INTERNSHIP EXPERIENCE
Avionics Solutions
01-May-2025 - 02-Sep-2025
At Avionics Solutions, I worked on the design and implementation of a Manchester Encoder/Decoder system using the TI C2000
(F280039C) platform, leveraging CLB, DSP, and CLA modules for real-time avionics applications. My responsibilities included
developing embedded C code, configuring EPWM and GPIO peripherals, and integrating interrupt-driven logic for reliable signal
transmission. I also carried out hardware testing and debugging using oscilloscopes and logic analyzers, ensuring robust system
performance. This project not only strengthened my expertise in embedded systems and digital signal processing but also aligned
academic research with practical industry needs.
Startify Funpulse
01-May-2024 - 02-Sep-2024
Collaborated with the Digital Services division to design and prototype AI-powered features for gaming and web platforms, aligning
with the company’s mission to blend technology and creativity Developed machine learning models to enhance user experiences—such as adaptive content recommendations and intelligent in-app assistants—for fun, immersive environments. Implemented end-to-
end AI workflows: data gathering, preprocessing, modeling, tuning, and deployment, working closely with cross-functional teams.
Tested models using real user data to ensure performance, reliability, and scalability within Startify’s immersive solutions. Presented
findings and demos to stakeholders, highlighting how AI-driven enhancements could boost engagement and product usability.
Korea EHT
31-May-2023 - 08-Sep-2023
Project Management & EPC Surveyor(Handled Local Buyer and Contractor Agreements)
Excelerate
01-Jun-2025 - 30-Sep-2025

AI enrichment