# About

I am a Lead AI Scientist working at Target's AI - Search Team in the San Francisco Bay Area. I am also 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. My current focus is around Natural Language Processing, Machine Learning, Information Retrieval related problems.

# Recent Updates

  • April 2022 - Participated in the launch team of this exciting new book - The Business Case for AI by my ex-mentor Kavita Ganesan. I got a chance to review it pre-release and I highly recommend it to anyone interested in leveraging AI in their organization. In the book, Dr. Ganesan has made AI easy to understand through illustrative diagrams. One such figure I liked was of all the NLP problems plotted on a popularity vs practicality grid. My review

  • March 2022 - Completed co:rise's Search with Machine Learning course, which was a 4-week cohort-based course set up by Daniel Tunkelang and Grant Ingersoll. It dove into using Machine Learning for Ranking, Content Understanding, and Query Understanding. Particularly, I enjoyed working through the learning-to-rank and query-understanding parts of the course. The course is especially useful if you are working in an e-commerce search team. search_ml_cert

  • November 2021 - Completed Stanford's Machine Learning with Graphs course. graph_ml_cert

  • August 2020 - During COVID lockdown, I completed Stanford's Natural Language Processing with Deep Learning course. nlp_cert

  • August 2019 - Received the Chief Data Analytics Officer Award for enabling search on target.com with data science. hello

  • 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.

# Learnings

I love being a beginner. I spend a lot of time learning various topics.

Feel free to support me!

# Archive

  • 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.

# Social presence

Old website

Last Updated: 5/1/2022, 8:38:06 AM