Syed Taha
@syedtaha
Aspiring machine learning engineer with expertise in NLP and computer vision.
PakistanWhat I'm looking for
I am a passionate machine learning engineer currently pursuing my BS in Computer Science at the National University of Science and Technology. My journey in the field has been marked by hands-on experience in various internships where I have developed and deployed innovative machine learning solutions. I thrive on challenges and am committed to pushing the boundaries of technology.
At Bradbury Lab, I am exploring novel methods to optimize large pre-trained transformer models, focusing on reducing parameters while maintaining performance. My previous internships have equipped me with a robust skill set in deploying CI/CD pipelines, enhancing workflow automation, and improving model accuracy through advanced techniques like GAN-based data augmentation and prompt engineering. I am dedicated to leveraging my skills to contribute to impactful projects in the machine learning domain.
Experience
Work history, roles, and key accomplishments
Machine Learning Research Intern
Bradbury Lab
Apr 2024 - Present (2 years 2 months)
Currently exploring novel methods to reduce the number of parameters in large pre-trained transformer models by identifying and merging functionally similar adjacent layers.
Under Graduate Research Intern
NUST
Mar 2024 - Present (2 years 3 months)
Developing a system for improving segmentation accuracy on dental radiographs using GAN-based data augmentation techniques.
Machine Learning Intern
CogniMind AI
Feb 2024 - Apr 2024 (2 months)
Deployed a dockerized Apache Airflow instance, improving workflow automation efficiency by 40% and developed CI/CD pipelines with GitHub Actions and Docker.
Machine Learning Intern
RapidsAI
Sep 2023 - Jan 2024 (4 months)
Integrated an RAG-based chatbot into a website, enhancing user engagement by 35% and optimized responses through Chain-of-Thought prompting.
Education
Degrees, certifications, and relevant coursework
National University of Science and Technology
Bachelor of Science, Computer Science
2022 - 2026
Grade: 3.43/4.00
Completed coursework in Linear Algebra, Probability and Statistics, and Machine Learning, achieving a GPA of 3.43/4.00.
Tech stack
Software and tools used professionally
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