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Arsalan

FAST · 2023 · i191885
Email
i191885@nu.edu.pk
Phone
+923133545321
LinkedIn
https://www.linkedin.com/in/arsalan-ali-94aa711b2/
GitHub

Academic

Program
Bachelor of Science (Artificial Intelligence)
CGPA
Year
2023
Education
FAST - National University of Computer and Emerging Sciences, Islamabad
Address
G-10/1, Islamabad
DOB

Career

Current role
Target role
Skills
Python, Pytorch, OpenCV, Graph-DB, RDF, Sci-kit Learn, SQL, SPARQL, Angular, Node, Express, MongoDB, Docker, Container, Kubernetes, GITHUB, GitOps, CI/CD, Leadership, Interpersonal Skills, Communication

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.
Arsalan
+923133545321, i191885@nu.edu.pk
G-10/1, Islamabad.
LinkedIn: https://www.linkedin.com/in/arsalan-ali-94aa711b2/

Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Science (Artificial Intelligence)
Major: Data Science, Machine Learning, Deep Learning, Computer Vision, NLP, DevOps, WEB 2.0
WEB 3.0 and Cloud Computing.
May 2023
The City Grammar School, Shahdadpur Sindh
F.Sc (Physics, Chemistry, Mathematics)
2019
Paragon School, Shahdadpur Sindh
Matriculation (Physics, Chemistry, Mathematics)
2017

Semester Projects:
VGG-16[Pytorch]:
A Dogs Image Dataset trained using VGG-16 Architecture.
WEB 3.0 [Protégé(OWL), Graph-DB, RDF, SPARQL]:
Designed Knowledge Graph of IMDB dataset by developing ontologies using Protégé, stored in Graph-DB, and then
SPARQL queries were run on KG.
Open-Net [GNN, pytorch]:
The Open-Net paper was implemented, that is consist of GNNs based approach for classification and Semetic
Semetation.
URDU ASR[Wave2Vec2]:
Develop the URDU ASR by transfer learning to fine-tune the Urdu Dataset.

Work Experience
Research Assistance at DataInsight lab (Research Assistantship is based in the domain of
NLP for document Understanding for Doctor prescriptions using ML/DL techniques such
as Donut, Dessurt, LayoutLM, and OCRs.)
Dec 2022-ToDate
AUG 2022 –Dec 2022
Research Assistant at University of Oakland, USA (Research assistantship is based on the
project of developing the Digital Twin for avoiding threats to Cyber-Physical System(CPS)
Machine Learning Engineer-I at RisingAI
Jan 10 2023-March
2023
Knowledge Graph Research Intern IKNEX, FAST NUCES (I have understood the concept
of semantic learning and Implemented the Linked Data techniques for NLP tasks for
medical data).
Feb 2022 - June 2022
ML/DL Intern at Data Insight Lab, FAST NUCES (Internship was focused on the research
of understanding the Doctor's prescription writing on the page using DL/NLP techniques)
July 2022 –Sept 2022
Lab Demonstrator @ Fast University (Demonstrationship was based on given training
and resolving bugs from code done in programming languages such as C and C++ )
AUG 2022-Jan 2023

Skills & Tools
Professional Skills
Leadership, Interpersonal Skills, Communication.
Technical Skills
Python, Pytorch, OpenCV, Graph-DB, RDF, Sci-kit Learn, SQL, SPARQL, Angular, Node, Express,
MongoDB, Docker, Container, Kubernetes, GITHUB, GitOps, CI/CD.

Achievements
Participant of Aspired Leader program offered by Aspired Institute founded at Harvard University.
Participant of the South Asian Association of National Scout Organization (SAANSO) held in Khairpur, Sindh, Pakistan.

Open Soucre Contribution
Contribute to Common Voice Mozilla open source for validating and uploading Urdu voice dataset.

Trainings / Certification
AWS Certified Cloud Practitioner.
Certification of HarvardX Course and Leadership tools.
Attend the Seminars with Harvard Faculty on the Role of Data Science in Developing Green Energy.

Interests
Playing Strategy games, Reading books based on Human Nature

AI enrichment

Arsalan is a recent BS graduate in Artificial Intelligence with hands-on experience as a Research Assistant and ML Engineer, specializing in NLP, Computer Vision, and Knowledge Graphs. He has contributed to academic research and open-source projects while holding an AWS Cloud Practitioner certification.
Skills (AI)
["Python", "PyTorch", "NLP", "Computer Vision", "Deep Learning", "Knowledge Graphs", "SPARQL", "Docker", "Kubernetes", "AWS", "Git", "SQL", "Angular", "Node.js"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 454
Created: 1778112746