Alex Mathai
PHD Student at Columbia University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAlex Mathai is a Columbia CS PhD student and former IBM Research engineer with nine years of experience applying machine learning and deep learning to real-world software and networking problems. He builds LLM-driven agents to debug million-line system codebases like the Linux kernel and previously designed knowledge-graph and graph-neural-network approaches to modernize monolithic mainframe applications into cloud-ready microservices. His work spans AI robustness (exposing and mitigating NLP model failures), encrypted traffic classification at ISP scale, and satellite image segmentation using U-Net, demonstrating an unusual blend of systems-scale engineering and applied ML research. Based in New York, he combines rigorous academic training and top-tier industry impact, with a knack for translating complex legacy systems into practical, data-driven solutions.
9 years of coding experience
1 year of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceJunior College Education Physics, Junior College Education Physics at Pace Junior Science College, AndheriDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
English, Hindi
Github Skills (42)
transformers10
pytorch10
python10
machine-learning-models10
machine-learning10
inference10
multimodal10
llm10
audio10
deep-learning10
natural-language-processing10
gemma10
transformer10
speech-recognition10
nlp10
Programming languages (6)
Github contributions (5)
Alex-Mathai-98/Satellite-Image-Segmentation-Using-U-NET
Jul 2018 - Nov 2019
The scripts of a 3 month project at the Indian Space Research Organisation,Dehradun. The scripts contain code for a U-Net model for Satellite Image Segmentation
Contributions:73 commits, 53 pushes in 1 year 3 months
image-segmentation
Alex-Mathai-98/Optical-Flow-GANs
Sep 2019 - Nov 2019
Contributions:50 commits, 47 pushes, 1 branch in 1 month
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