Jan 2024 – May 2024 · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

• Worked as a TA for the course Machine Learning in Production [https://mlip-cmu.github.io/s2024/]. As a TA, I hold weekly recitations for students on using various MLOps tools like Git, Docker, Kafka, etc

May 2023 – Aug 2023 · 3 mos · Remote

• Worked on various software engineering and machine learning tasks withing the company. Implemented a Machine Learning model deployed in AWS SageMaker to forecast the optimal timing
• for engaging patients in specific portal actions, resulting in streamlined patient response times.

Jan 2022 – Jun 2022 · 5 mos · Pune, Maharashtra, India

• Developed an event notification system utilizing AWS SQS and Lambda to facilitate smooth customer
• transitions to a new service. Designed and implemented a Data Warehousing solution with AWS Redshift.

Sep 2021 – Jan 2022 · 4 mos

• Trained Baseball Player Classification Models on Tensorflow, utilizing Body Pose Detection,
• incorporating advanced techniques such as YOLO Object Detection and Tracking.

May 2021 – Jul 2021 · 2 mos

Feb 2021 – Mar 2021 · 1 mo

• Worked as a CV Intern to
• Develop AI-powered exercises using the BlazePose Model to detect poses.
• Integrate this code in Javascript to work on a Client-Side Service

Mar 2020 – Apr 2021 · 1 yr 1 mo

• Served a year on the Board of ACM-VIT 2020-21 as their Technical Director. As TD, my responsibility was to
• Encourage technical growth in the chapter and to track the progress of all my juniors.
• Lead multiple projects in domains like web, app, machine learning, etc and see it to completion.
• Coordinate multiple large-scale events like Apptitude, PyFlask, Reverse Coding, etc.
• Conducted an all-India hackathon - Code2Create (which had 1000+ registrations)

Mar 2020 – Apr 2021 · 1 yr 1 mo

Dec 2018 – Apr 2021 · 2 yrs 4 mos

• I worked with ACM-VIT for more than 2 years in their Research Department, working on multiple projects in Computer Vision, NLP, Machine Learning, Web Development, etc.
• ACM-VIT, one of the most reputed and distinguished technical chapter in VIT, Vellore has been working with vision and determination since it’s inception in 2009, with the aspirations of advancement of computer science as a science and a profession. We are not just an organization, we are a family, united by one cause, working towards making technology more accessible much like our parent organization, ACM.

Jan 2020 – Mar 2020 · 2 mos

• Worked as a Computer Vision Intern
• Worked on Hand Detection Model and its applications in Smart Advertising