I am an alumnus of the Johns Hopkins University. During my graduate studies, I interned at GitHub as a Machine Learning Intern. Before joining the graduate program, I worked as a Machine Learning Engineer / Applied Scientist in recruitment, food-tech, healthcare domains for more than 2 years.
I have dabbled in many skills, mixing multiple fields at times. I love solving problems, synthesizing ideas, understanding new concepts. I enjoy creating data products at the intersection of trending ideas. If there was a single sentence to describe me, it would be "Jack of all trades, master of none, but oftentimes better than master of one."
This TedTalk perfectly articulates who I want to be. I am evolving constantly, you will find all about it on this website.
# Recent Updates
August 2020 - During COVID lockdown, I completed Stanford's Natural Language Processing with Deep Learning course.
August 2019 - Received the Chief Data Analytics Officer Award for enabling search on target.com with data science.
November 2018 - Happy to see my internship project - "Related issues" going live (public beta) on GitHub!
June 2018 - I am excited about developing autonomous systems that can acquire language understanding through interaction with their environment.
I love being a beginner.
Feel free to support me!
May 2018 - I received my master's degree in computer science from Johns Hopkins University. All the courses I took had some connection to Machine Learning and Natural Language Processing. Internship
Feb 2017 - Won MLH sponsored hackathon - Hophacks @ JHU - Project Nexus
May 2014 - Awarded with a medal for securing Rank 1 out of 155 students in a 4 year long engineering program (bachelor's degree).
June 2008 - Awarded by a fellowship by Goverment of India for securing District Rank 1 out of around 80,000 students in Secondary School Exam - Pune board.
# Health and Fitness
# 2021 Goal - 2 workouts per week
# 2020 Goal - 1 workout per week
Follow my runs, bike trips, workouts on Strava.