Getting to know me better
Hi there, I’m Alex Mathai ! A computer science professional with a demonstrated history in machine learning and artificial intelligence. I work at the intersection of research and industry, integrating practical AI tools for open-sourced as well as commercial software. Some of my successful contributions include using AI to help modernize monolith applications, classifying and analyzing internet traffic at gigabyte scales, making AI models more robust in real-life scenarios and implementing computer vision models for satellite images.
Where am I now ?
I currently work at IBM Research Labs, Bangalore as a Research Engineer in the Hybrid Cloud Department. I am part of an effort to leverage AI to solve problems in the Hybrid Cloud Paradigm.
Research Interests
ML
Applications
ML for Software Engineering
ML for Graphs
Deep
Learning
Graph Neural Networks
Natural Language Processing
Unsupervised
Learning
Clustering Techniques
Auto Encoders-Decoders
Project & Research Experience
University of new south wales
I worked with Prof. Vijay Sivaraman and Prof. Hassan Habibi on the classification of encrypted network traffic. My contribution helped in providing valuable insights on network traffic composition. I was also successful in creating a statistical model to estimate user experience for live streaming videos. The deep learning models I trained were deployed in more than 8000 Australian homes.
IBM Research AI
I worked as a research intern under Shreya Khare, Srikanth Tamilselvam and, Senthil Mani (Senior Technical Manager) in IBM Research Labs. My work primarily involved the study of creating adversarial attacks for natural language models and inferring their robustness concerns. I was successful at creating adversaries for many popular text models by combining genetic algorithms with deep learning models.
indian space research organisation
Worked with Dr. Sameer Saran (Head of Geoinformatics Department, ISRO) and Mr. Ashutosh Kumar Jha (Scientist, ISRO). A two month Internship at the Indian Institute of Remote Sensing (ISRO) Dehradun. My work comprised of creating a customized U-Net for Satellite Image Feature Detection in High Resolution Multispectral Satellite Images.
CENTRAL ELECTRONICS ENGINEERING RESEARCH INSTITUTE
I was a part of a 300,000$ project that is aimed at developing an AI powered Surveillance System. Under the guidance of Dr. Sanjay Singh (Scientist, CEERI) and Mr. Sumeet Saurav (Scientist, CEERI), I successfully implemented an Unsupervised Deep Learning Model using Generative Adversarial Neural Networks for Real Time Anomaly Detection in Crowded Scenes.
WEB INTELLIGENCE AND SOCIAL COMPUTING LAB, BITS PILANI
Under the guidance of Dr. Yashvardhan Sharma,I completed a six month project aimed at the Detection of Sarcasm in Online Product Reviews. A cross domain project involving Natural Language Processing and Convolutional Neural Networks. High Dimensional Word Embeddings combined with a robust CNN framework that detected emotion, personality and sentiment were created to give a joint vector space which was later classified using Support Vector Machines.
