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Muhammad Riyaan Tariq

FAST · 2025

56riyaan@gmail.com

Phone

+923019194449

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GitHub

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Academic

Program

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CGPA

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Year

2025

Education

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Address

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DOB

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Verbatim text

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Muhammad Riyaan Tariq
+923019194449, 56riyaan@gmail.com
Askari 14, Rawalpindi
Linked In: linkedin.com/in/riyaantariq
equirements Engineering, Software Design & Architecture, Software Quality Engineering,
lied Artificial lntelli ence Web En ineerin , and Software Pro·ect Mana ement.
indi
inal Pro "ect: GRAPHiC: Utilizing Graph Structures and Class Weights in Code Comment Classification with
retrained BERT Models
RAPHiC is a set of multi-label classifiers designed to categorize source code comments in Java, Python, and Pharo,
improving code maintenance and organization. Accepted at 2025 IEEE/ACM International Workshop on Natural
Lan ua e-Based Software En ineerin (NLBSE). Presented at ICSE 2025 in Ottawa, Canada.
emester Pro ·ects:
deep learning-based image classification model leveraging EfficientNetV2 to accurately identify Pokemon species,
grilink - Farmer Profile Management Microservice:
MERN stack-based microservice designed for efficient farmer profile management, enabling seamless data handling
vent Marketing Head, Youth Speak Forum, AIESEC
Developed and led this leadership development initiative, engaging 200+ delegates,
ecurin 70% ROI throu h artnershi s, and drivin 24,000+ social media en a ements.
earn Lead for Business Development & CSR, AIESEC
orked in 5+ Sustainable Development Projects, and worked for AIESEC Alumni
Oct 2023 - Dec 2023
Aug 2023 - Jul 2024
ython, SQL, Java, Sci-kit Learn, Pandas, Numpy, HTML, CSS, Wire-Framing, UML, MERN Stack,
WS, RESTful APl's, Docker, Natural Lan ua e Processin .
Dean's List of Honors, FAST NUCES
Best Team Lead, Fall '24 - AIESEC
ctivities
howcaser, NSC'24, AIESEC: Documented the conference by capturing high-quality photos and videos of key
moments, sessions, and partner activities for marketing and archival purposes.
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muhammad Riyaan Tariq is a software engineering student with a focus on AI, NLP, and full-stack development, highlighted by a research paper accepted at ICSE 2025. He possesses practical experience in building microservices and deep learning models, alongside leadership roles in student organizations.

Skills (AI)

["Python", "Java", "SQL", "MERN Stack", "Docker", "RESTful APIs", "Natural Language Processing", "Deep Learning", "EfficientNetV2", "BERT", "Scikit-learn", "Pandas", "NumPy", "UML", "Wire-Framing"]

Status: ai_done

Provenance

Source file: —
Created: 1777724106