I make machines smarter so they can make human lives easier. Basically, I’m Machine Learning Engineer/ Data Scientist who loves to work on difficult problems and come up with innovative and creative solutions.
Currently, as a graduate student, I’m pursuing my Master of Science in Computer Science with a concentration in Data Science from the University of Texas at Dallas, where I’m working on generating morals for fables.
Throughout my academic and professional career, my primary research interest has been in development of tools and techniques for ML and Deep Learning tasks, primarily NLP and NLU. But I’ve been also involved with projects spanning across various other domains and fields like Computer Vision, Predictive Analytics, and more.
As I’ve been working proffesionally for 3 years now, I’ve experience of working in various domains with diverse technologies. You can read more about my Projects.
I don’t write much but you can find my some of my work in Writings.
In my free time love to watch 📺 anime, play 🎱 8-ball pool, 🏓 table tennis or some 🕹️ video games. Hit me up if you want geek out on any of these things!!
Enjoy this taco 🌮, while you are here!!
Software Engineering Intern, Amazon Alexa, Sunnyvale, California, August 22 - December 22
Data Scientist, Blackstraw.ai, Chennai, India, August 19 - July 21
Co-Founder, Technology Lead, Rehabo Technologies, Vadodara, India, July 18 - July 19
Machine Learning Intern, Service4Startups, Vadodara, India, November 18 - February 19
Tanmay Vakare, Kshitij Verma, Vedant Jain “Sentence Semantic Similarity Using Dependency Parsing”, Proceedings of 10th International Conference of Computing, Communication and Networking Technologies (2019): DOI: 10.1109/ICCCNT45670.2019.8944671
Secure and Private AI, Udacity, September 19
Machine Learning by Stanford University, Coursera, December 18
Gooogle India Scholarship Challenge: Android Development, Udacity, February 18