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Muhammad Saad Ashraf

NUST · 2026

saad.ashraf.9094@gmail.com

Phone

923075777194

https://www.linkedin.com/in/saad1551/

GitHub

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Academic

Program

BSE

CGPA

3.41

Year

2026

Education

SEECS

Address

Karachi, Pakistan

DOB

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Career

Current role

Trainee Engineer at Bazaar Technologies

Target role

—

Skills

Backend Development, Node, Express, Django, Springboot, Machine Learning, Artificial Intelligence, Deep Learning, Reinforcement Learning, Small Language Models, EEG Diagnostic Systems, Natural Language Processing, Web Interaction, Browser Extensions, Payment Integration, Jazzcash, Cybersource, HBL

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.

Muhammad Saad Ashraf
Cell: 923075777194 |  Email: saad.ashraf.9094@gmail.com
LinkedIn: https://www.linkedin.com/in/saad1551/
Address: FLAT NO. F-5, GULBERG SQUARE, BLOCK 16, FEDERALB. AREA, KARACHI , Karachi , Pakistan
PROFESSIONAL PROFILE
Enthusiastic Software Engineering student focused on solving complex problems, developing scalable systems, and exploring
innovative areas of Computer Science research.
EDUCATION
Bachelor of Engineering in Software Engineering
School of Electrical Engineering and Computer Science , Islamabad , 3.41 (2026)
INTERNSHIP EXPERIENCE
Bazaar Technologies
16-Jun-2025 - 11-Aug-2025
Changed the card refund process to an instant wallet-ﬁrst approach. Instead of forwarding the refund request for a cancelled card
order to the bank, we ﬁrst load the money in the customer's wallet as a result of this feature. Then if the customer wants, we let them
request a bank refund. This resulted in increased retention and repeat orders while also enhancing customer experience due to
instant refunds as the bank usually takes 12-14 business days to process the refund. Integrated the Jazzcash mobile payment
webhook-based system into the Bazaar infrastructure, resulting in an 11% increase in digitally paid orders.
Bazaar Technologies
11-Aug-2025 - 26-Jan-2026
Was promoted to Trainee Engineer after the internship. Since then, I have worked on integrating Cybersource (one of the world's biggest card payment providers) into the Bazaar infrastructure through HBL. Currently working on building and enhancing systems for after-sales reporting and compliance.
FINAL YEAR PROJECT
Adaptive Web Interaction: Leveraging Reinforcement Learning for Comprehensive Action Support
Training small language model agents for the task of web navigation using reinforcement learning techniques so that users can give
the agent a natural language task to perform on a given website and see it complete it on their browsers through a browser
extension.
TECHNICAL EXPERTISE
Backend Development
Proﬁcient in backend system design, creating scalable APIs and writing clean, maintainable backend code. Worked with backend
frameworks like Node and Express, Django, and Springboot.
Machine Learning
Have 200+ research hours in Machine Learning and Artiﬁcial Intelligence under my belt. Worked as a Deep Learning Research Intern
at TUKL Deep Learning Lab where I worked on developing an end-to-end EEG diagnostic system with natural language report
generation. Currently working on a research-based final year ...

AI enrichment

Muhammad Saad Ashraf is a Software Engineering undergraduate with a 3.41 CGPA and internship experience at Bazaar Technologies, where he enhanced payment systems and improved customer retention. He possesses strong backend development skills in Node, Django, and Spring Boot, alongside research experience in machine learning and reinforcement learning.

Skills (AI)

["Backend Development", "Node.js", "Express", "Django", "Spring Boot", "Machine Learning", "Reinforcement Learning", "API Design", "System Integration", "Webhooks", "Payment Gateway Integration"]

Status: ai_done

Provenance

Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 62
Created: 1778138736