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Yousuf Rehan

NUST · 2026

yrehan67@gmail.com

Phone

923360481398

https://www.linkedin.com/in/yousuf-rehan

GitHub

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Academic

Program

Bachelor of Engineering, Software Engineering

CGPA

3.6

Year

2026

Education

SEECS

Address

Karachi, Pakistan

DOB

—

Career

Current role

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Target role

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Skills

Backend Development, Applied Machine Learning, Modern Web Stacks, APIs, Angular, Next.js, Node.js, MySQL, Deep Reinforcement Learning, NOMA, Backscatter Communication, RIS

Interests / quote

Results driven software engineer with strong foundations in backend development and applied machine learning. Experienced in modern web stacks, APIs, and data-driven applications, with an interest in deploying real-world AI systems

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Yousuf Rehan
Cell: 923360481398 |  Email: yrehan67@gmail.com
LinkedIn: https://www.linkedin.com/in/yousuf-rehan
Address: SAINT GEORGE CHURCH COMPOUND KAEMARI, H.NO.24KARACHI SOUTH, PAKISTAN , Karachi , Pakistan
PROFESSIONAL PROFILE
Results driven software engineer with strong foundations in backend development and applied machine learning. Experienced in
modern web stacks, APIs, and data-driven applications, with an interest in deploying real-world AI systems
EDUCATION
Bachelor of Engineering, Software Engineering
SEECS , Islamabad , 3.6 (2026)
INTERNSHIP EXPERIENCE
Topcar
23-Dec-2024 - 23-Jan-2026
Working directly under the CTO as a Full Stack Engineer, utilizing technologies such as Angular, Next.js, and Node.js to enhance the
company’s products. Lead the expansion of the platform from a single-country to a multi-country system, ensuring seamless
backend, user, and admin integration. Enhanced user experience by implementing error handling in over 30 admin dashboard forms
using Angular, reducing admin complaints. Developed and documented a new search API using Node.js and MySQL, increasing
query efficiency and enabling smooth migration for other teams.
FINAL YEAR PROJECT
Optimization of NOMA-Enabled Backscatter Communication Using Deep Reinforcement Learning in Diverse
RIS-Aided Wireless Systems
This project investigates the optimization of non-orthogonal multiple access (NOMA)-enabled wireless backscatter communication
systems using deep reinforcement learning (DRL) enhanced by various types of reconﬁgurable intelligent surfaces (RIS). Our
approach supports a uniﬁed, scenario-agnostic framework for jointly tuning key system variables—such as RIS element
conﬁgurations, transmit power levels, resource-allocation timings, and backscatter parameters—so that diﬀerent combinations can be
deployed on ﬂy to meet varying performance goals. A DRL-based agent is developed to intelligently adapt to changing channel
conditions and user demands, enabling real-time learning and decision-making without relying on explicit mathematical models.
TECHNICAL EXPERTISE

AI enrichment

Yousuf Rehan is a Software Engineering undergraduate with a 3.6 CGPA, currently interning as a Full Stack Engineer at Topcar. He possesses practical experience in backend development, API design, and frontend implementation using modern web stacks.

Skills (AI)

["Angular", "Next.js", "Node.js", "MySQL", "Deep Reinforcement Learning", "API Development", "Backend Development", "Full Stack Development"]

Status: ai_done

Provenance

Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 37
Created: 1778138736