Mar 2025 – Jul 2025 · 4 mos · Bengaluru, Karnataka, India

• Went deep into the fashion tech space and created a tool to help designers go from inspiration to tech packs on a single platform.

Jan 2025 – Oct 2025 · 9 mos

• Exploring. Excited about Edtech, Healthcare and Generative Media.

Aug 2023 – Nov 2024 · 1 yr 3 mos · California, United States

Oct 2021 – Dec 2021 · 2 mos · United States

• Co-created and taught a seminar themed class CS25: Transformers United (https://web.stanford.edu/class/cs25/) to discuss the breakthroughs of transformers beyond NLP
• Now available on youtube: https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM

Aug 2021 – Aug 2023 · 2 yrs · Mountain View, California, United States

• Worked in the Search team and was fortunate enough to build a lot of firsts:
• 1. Delivered the first query similarity model which soon became the backbone of multiple services and products at Moveworks.
• 2. Worked on engineering for a new product right from day 0 to enable people search over structured data using natural language. Led the ML and NLU efforts and designed a novel pipeline that could dynamically adapt the classification space. (Patent pending)
• 3. In the rising era of GenAI, consolidated efforts to build user trust and trained the first fact checker model to identify and mitigate potential hallucinations.
• Along the process, learnt a lot about best software engineering practices, importance of great user interface, managing communication across a cross-functional team and listening to customer needs to deliver high quality products.

Jan 2021 – Jun 2021 · 5 mos

• Built an open domain chat for the Alexa Prize Challenge 4 under the supervision of Prof. Chris Manning. Specifically worked on entity linking and smoother dialogue transitions across entities and topics. Our bot was the first runner-up and the team won the prize of $100k.

Sep 2020 – Dec 2020 · 3 mos

• Working with Prof. Juan J Alonso in the Aero-Astro Department

Apr 2020 – Jun 2020 · 2 mos · Stanford, California, United States

• CS224U: Natural Language Understanding

Jun 2020 – Sep 2020 · 3 mos · Seattle, Washington, United States

• Worked in the domain of transfer learning under multilingual setting.

Jan 2020 – Mar 2020 · 2 mos · Stanford

• Working with Prof. Adina Sterling in the Equity by Design Lab

Mar 2019 – Aug 2019 · 5 mos · Bangalore

• Member of the Data Intelligence Team:
• 1. Worked on look-alike modeling for finding segments of customers with similar behaviors and personalities.
• 2. Deployed an end-end pipeline for processing large amounts of text data for deduping identical items.

Jun 2017 – Mar 2019 · 1 yr 9 mos · Bangalore

Jan 2017 – Apr 2017 · 3 mos · Roorkee

• Artificial Neural Networks (IE-303)
• Electrical Science (EEN-112)

May 2016 – Jul 2016 · 2 mos · Konstanz Area, Germany

• I was a part of the team working on the Powerbike project. The details of the project can be found out in the given link. My work was to develop an electronic circuit by integrating an arduino microcontroller with additional sensors to collect data related to the pedal rotation angle and velocity and analyse it so as to improve the simulation. I also programmed the microcontroller to collect sensor events and to compute pedal position and velocity and calibrated the whole set up.

May 2015 – Jul 2015 · 2 mos · Kolkata

• My work here was to learn about various aspects of cryptography, both public key and private key, and analyse the existing solutions for the cryptanalysis of RSA cryptosystem. I studied about the Boneh-Durfee attack and how they constructed lattices for the efficient cryptanalysis of this system even for larger values of decryption constant thus improving Wiener's result. I implemented the LLL algorithm for the reduction of lattices and various other problems which utilise this algorithm for finding a solution efficiently.

Jan 2014 – May 2016 · 2 yrs 4 mos · IIT Roorkee

• My responsibilities include to arrange automotive workshops and organize lectures along with other team members for the students in order to complement their theoretical knowledge with practical experience. I, myself, have delivered a lecture for the freshmen to provide them with some basic and general information about steering systems in automobiles.