Hi, I am
Abdullah,
Welcome to my portfolio! Abdullah Kamal is an Experienced Machine Learning Researcher with a passion for implementing machine learning into real-world scenarios. With a unique blend of technical skills and research expertise, I have confidence in the ability to deliver custom solutions to dynamic project requirements.
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About Me
03 Years Job Experience
07 + Projects Completed
06 + Leadership Roles
What are my top skills?
I am a software engineer and researcher with deep expertise in both software development and machine learning. I have hands-on experience working with cutting-edge technologies and delivering impactful solutions across various domains. My top skills include:
- Machine Learning & AI
- Software Engineering
- Leadership & Collaboration
- Project Management
- Innovation & Curiosity
I believe in building inclusive and dynamic environments where creativity thrives. Whether it's leading a team, collaborating on innovative projects, or taking on new challenges, I strive to go beyond expectations and continuously grow.
Who am I?
IEEE HKN-MU Chapter induction ceremony at Texas State University.
College of Science and Engineering Industry Advisory Board Research Schowcase at Texas State University.
Graduating Summa Cum Laude with a double Bachelors of Science in CS and Applied Math.
Biography,
in a few words...
Hi, I’m Abdullah Kamal, a Machine Learning researcher with a passion for applying AI to solve real-world problems (yes, it's a bit cliché, but I mean it!). My research spans machine learning algorithms designed to create safety mechanisms for drone delivery systems, as well as applying neural networks for speaker recognition, also known as speaker diarization. I’ve built a strong foundation in software engineering and research through various technical roles.
My industry experience includes an internship at Dell, along with research positions at Texas A&M-Corpus Christi and Texas State University. I’ve had the privilege of collaborating with faculty from several research institutions, which has led to publications in IEEE and ACM.
In addition to my technical expertise, I’m deeply involved in leadership. I served as Vice President of the Google Developer Student Club (GDSC) at Texas State University, where I led machine learning workshops and collaborated with industry leaders from major tech companies. During my time with GDSC, I also co-founded the CS Launchpad, a program aimed at promoting diversity and inclusion among technical majors at TXST.
I am proud to have co-founded the Society for Industrial and Applied Mathematics (SIAM) chapter at Texas State, where I held the role of National Liaison. Through my work at SIAM, I had the honor of directing the first-ever Julia Robinson Math Festival, an initiative that significantly enhanced community outreach for the university.
Furthermore, I was a co-founder of the Boko Hacks hackathon, partnering with organizations like Microsoft Federal, IEEE, CodePath, and KC7, which drew more than 200 participants from various universities. I’ve also held board positions in SME, SSE, and .EXE, contributing to their growth and impact.
Skills
Programming Skills
Tools & Other Skills
Projects
Special Milestones
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May, 2024
Bachelors in Computer Science and Applied Mathematics
Texas State University
Achieved double major in CS and Applied Math with summa cum laude. Recognized for service and research prowess with multiple awards from both the CS and Math departments. Developed strong leadership within leading university organizations including GDSC, SIAM, .EXE, and other technical organizations. Hosted many events including JRMF, Boko Hacks, and CS Launchpad.
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May, 2022
Software Engineering Intern
Dell Technologies
Led Scrum team in the Power Protect Data Management team in the Dell Infrastructure Solutions Group, developing Jenkins pipelines for client-centered virtual machine deployments. Utilized Strawberry Perl and Shell backend and a Jenkins form front-end to support instant deployment of machines tuned to customer requirements, including data management and security softwares.
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October, 2022
Machine Learning Researcher
Oriented Hypergraphs and Combinatorial Matrix Lab - Texas State University
Joined a competitive research lab developing novel solutions for understanding voting trends, specifically utilizing sentiment-based analysis and integrating deep learning with oriented hypergraphs. Gained recognition as one of the few contributing team members and got accepted from hundreds of Texas State University research teams into the SXSW Innovation Lab.
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May, 2022
Unmanned Aerial Systems Security Research Intern
iCORE Lab - Texas A&M-Corpus Christi
Accepted into the iCORE Lab at TAMU-CC developing drone delivery systems using Attribute Based Access Control, protecting private property in rural and urban areas. We developed a novel solution, getting recognized nationally by the Association of Computing Machinery in MobiHoc 2023.
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January, 2022
Machine Learning Researcher
IOR Research Laboratory - Texas State University
Started my journey in machine learning in the ladoratory of Dr. Iván Ojeda-Ruiz developing clustering algorithms to reinforce neural network analysis and detection for speaker recognition/diarization.
Gallery
Favorite Moments
STEM Conference 2024
Won 1st place presenting research in cutting edge transcription algorithm technology.
CTURC 2024
Presented research on fake news detection on social media platforms like X.
SXSW Innovation Lab 2024
Presented research in innovative data modeling for political sentiment based analysis.
SACNAS NDiSTEM 2023
Attended conference under full scholarship.
Math Graduate Expo 2023
Presented research in political sentiment analysis by invitation from Department head.
Bobcat Build 2023
Lead team of volunteers from the Google Developer club in yearly volunteering event in San Marcos.
MAA 2024
Volunteered at and participated in the Calculus Bowl.
Posters
Testing clustering algorithms on deep learning to determine most effective way to differentiate speakers in audios.
Sentiment-based deep learning for understanding political perception drift.
Understanding sentiment-based analysis on datasets for anomoly and fault detection in systems.
Developing ABAC security zoning application for drone delivery systems in rural and urban areas.
Developing a state-of-the-art fake news detection system for images disseminated via social media platforms like X.
Contact
Email me anytime
