Jan 2023 – May 2023 · 4 mos · Dallas, Texas, United States

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States

• Worked as a Software Engineer intern (full stack) in the Ads Measurement Interfaces team to build products that help advertisers at Pinterest.
• Created a full-stack web feature which involved designing and building the entire pipeline, end-to-end, from backend to frontend. Queried Druid database using SQL, created an API endpoint using Python, OpenAPI, Java, Apache Thrift and consumed it on the web page using JavaScript with ReactJS.
• Developed a UI feature using ReactJS and successfully pushed it to production. Updated the Pinterest Tag Helper Chrome extension to improve user experience.
• Wrote unit tests using Jest with enzyme for ReactJS, Python unittest and end-to-end integration tests using Cypress. Wrote two design documents and completed multiple code reviews.

Sep 2021 – Dec 2022 · 1 yr 3 mos · Richardson, Texas, United States

• Grader for CS 1136: Computer Science Lab-II. Responsible for conducting office hours and evaluation of assignments for a class of 75 undergraduate students.

Sep 2020 – Jun 2021 · 9 mos · Mumbai, Maharashtra, India

• Developed majority of front-end from scratch for the cryptocurrency exchange website, pocketbits.in.
• Migrated the product’s core functionalities from ASP.NET to ReactJS and built multiple new features which improved user satisfaction by 30% and speed of the product by 40%.
• Worked with ReactJS, Material UI, JavaScript and REST APIs.

Jun 2020 – Aug 2020 · 2 mos · Navi Mumbai, Maharashtra, India

• Developed front end for digital marketing website using ReactJS, JavaScript and Material UI.
• Wrote REST APIs using Node, Express, Mongoose and MongoDB.

Jan 2020 – Jan 2020 · 0 mo · NIT Raipur

• Web portal for farmers to sell their produce at a better rate, includes features like dynamic bidding and crop disease detector.

Jun 2019 – Jul 2019 · 1 mo · Navi Mumbai

• AI based Solution for Car Damage Assessment
• Designed and trained an ML model using TensorFlow and Keras to classify car damage based on location and severity; achieved 97% accuracy.
• Implemented the model in an Android app-based interface built using Android Studio.

Feb 2019 – Apr 2019 · 2 mos · Mumbai Area, India

• Developed the android app “Conquer Exam: Be a warrior” which helps students cope with the exam stress and anxieties.
• It also provides efficient and creative studying tips through community sharing.
• Launched the app on Google Play Store and achieved 1000+ downloads.

Feb 2019 – Mar 2019 · 1 mo · Coimbatore Area, India

• Finalist in the Smart India Hackathon 2019, conducted by Ministry of Human Resource Development, Govt. of India at Coimbatore.
• This app based solution was selected in top 4 out of 1200 submissions for the grand finale of Smart India Hackathon.
• Problem statement was, “The death of women during delivery in the rural areas in the country is a concern to be addressed. The lack of awareness in rural areas, the unavailability of doctors and health counsellors in the PHCs, lack of education regarding hygiene and sanitation are the prime cause of such deaths.”
• App was developed using Android Studio and Naive Bayes Algorithm. The app has an easy to use user-interface, centred around the animated medium of information that will encompass a large demographic.