Sep 2021 – Jul 2024 · 2 yrs 10 mos · San Francisco Bay Area

Jan 2021 – May 2021 · 4 mos · New York, United States

• Heading the weekly recitation for the Algorithmic Problem Solving course by Prof. Joanna Klukowska.

Sep 2020 – Dec 2020 · 3 mos · New York, United States

• Heading the recitations for the Data Structures course by Prof. Joanna Klukowska at NYU.

Jun 2020 – Aug 2020 · 2 mos · Sunnyvale, California, United States

• Worked on Tensorflow Lite for Micro-Controllers and Computer Vision to enhance the functionality of the DSP framework as a part of the Amazon DSP Framework team.

Jan 2020 – May 2020 · 4 mos · United States

• Course Name: Algorithmic Problem Solving
• Instructor: Prof. Joanna Klukowska
• Responsibilities: Head the recitations for the course as well as conduct office hours to clarify doubts.

Sep 2019 – Dec 2019 · 3 mos · United States

• Course Name: Data Structures
• Instructor: Prof. Ernest Davis
• Responsibilities: Grading weekly assignments and providing feedback to students.

Sep 2019 – Dec 2019 · 3 mos · United States

• Course Name: Data Structures
• Instructor: Prof. Joanna Klukowska
• Responsibilities: Grading weekly assignments and providing feedback to students.

Jan 2019 – Jul 2019 · 6 mos · Bengaluru Area, India

• Worked on an entity extraction engine as a part of the Client Relationship Management (CRM) team. Implemented a service to extract relevant financial entities from email attachments and store it in the database.

Jan 2019 – Jun 2019 · 5 mos · Santa Clara, California

• Worked remotely as a problem setter and reviewer of algorithmic questions created for
• industry working people to prepare for algorithmic interviews.

Aug 2018 – Dec 2018 · 4 mos · Gandhinagar, Gujarat

• Teaching Assistant of Group Theory and Linear Algebra course. Responsibilities include conducting studying hours for the students to solve their doubts, teach them basic/advanced concepts and monitor their performances in the course examinations.

Aug 2018 – Dec 2018 · 4 mos · Gandhinagar, Gujarat

• Teaching assistant for Database Management System (DBMS) Course. Responsibilities include designing labs, solving doubts of students and helping out the students with their projects.

Jul 2018 – Jun 2019 · 11 mos · Bonn Area, Germany

• Frankenstein is a question answering (QA) framework published in The Web Conference 2018. Working as an external intern under the guidance of Kuldeep Singh, with close collaboration in the group of Prof. Dr. Maria Esther Vidal. Integrated several components for entity linking, entity recognition in the framework for annotating short unstructured text wrt underlying knowledge graph.

May 2018 – Feb 2019 · 9 mos · Gujarat, India

• 𝗠𝗲𝗻𝘁𝗼𝗿: Prof. Dr. Shanmuganathan Raman
• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Object Localization using unsupervised learning.
• 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: We implemented a completely unsupervised approach to solve the problem using GIST image descriptor, saliency map, and DBSCAN clustering algorithm. We evaluated it on two challenging datasets - PASCAL VOC 2007 dataset and Object discovery dataset.
• 𝐎𝐮𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫 𝐠𝐨𝐭 𝐚𝐜𝐜𝐞𝐩𝐭𝐞𝐝 𝐚𝐭 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐧 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 (𝐍𝐂𝐂) 𝟐𝟎𝟏𝟗.

Jan 2018 – Jan 2019 · 1 yr · Gandhinagar, Gujarat

• 𝗠𝗲𝗻𝘁𝗼𝗿: Prof. Dr. Bhaskar Chaudhury
• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Predicting the highest priority functional group from FTIR spectrum of molecules
• 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: We proposed the use of Convolutional Neural Networks to solve this problem. We have also compared our model with other Machine Learning models - Support Vector Machine and Random Forest Classifier.
• 𝐎𝐮𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫 𝐠𝐨𝐭 𝐚𝐜𝐜𝐞𝐩𝐭𝐞𝐝 𝐚𝐭 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐒𝐲𝐦𝐩𝐨𝐬𝐢𝐮𝐦, 𝟐𝟓𝐭𝐡 𝐈𝐄𝐄𝐄 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐧 𝐇𝐢𝐠𝐡 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠, 𝐃𝐚𝐭𝐚, 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 (𝐇𝐢𝐏𝐂) 𝟐𝟎𝟏𝟖

Jan 2018 – May 2018 · 4 mos · Gandhinagar, Gujarat

• Teaching Assistant for Data Structures course. Responsibilities include conducting studying hours for the students to solve their doubts and teach them basic/advanced concepts, as well as, helping them prepare for their course examinations by providing them with extra programming exercises.