May 2020 – Apr 2023 · 2 yrs 11 mos · Bengaluru, Karnataka, India

• Computer Vision, Deep Learning
• Working on solving computer vision related problems in Ed-Tech space. Worked on different projects like object detection, segmentation, synthetic data generation, inpainting, domain adaptation, handwriting OCR.

Oct 2019 – May 2020 · 7 mos

• Computer Vision, Deep Learning

Jun 2019 – Sep 2019 · 3 mos · Bentonville, Arkansas

Jan 2019 – May 2019 · 4 mos · Austin, Texas Metropolitan Area

• Working with Prof Hasenbein on making Reinforcement policies robust in the presence of noise. Learning RL policies in the presence of noisy rewards. Came up with a noise filter for rewards using neural network and improved the robustness of Deep Q-Learning model in the presence of noisy rewards.

Jan 2018 – May 2019 · 1 yr 4 mos · Austin, Texas Metropolitan Area

• Graduate Teaching Assistant at UT Austin for machine learning courses.
• Teaching Assistant to Prof Joydeep Ghosh for the course "Advanced Predictive Modelling". Helping create Machine Learning Assignments, helping students with machine learning projects.

Jan 2019 – Jun 2019 · 5 mos · Austin, Texas Metropolitan Area

• Worked with the Data Science and AI team of VISA Research on predictive maintenance and anomaly detection. Developed deep learning models, trained them on GPU clusters. Developed LSTM based Encoder Decoder models for predictions and failure detection.

May 2018 – Aug 2018 · 3 mos · San Francisco Bay Area

• I interned as a software developer in Shutterfly Inc. I developed an internal tool to create promotion and sales for the Shutterfly Products. Using this tool, Shutterfly creates the sales and promotion for their products, which are then reflected on their websites. I worked on both front end and back end. For front end, I created the UI using React, Redux, React-Router and CSS, and for backend I developed services using Java springboot framework.

Jan 2016 – Jul 2016 · 6 mos · Bengaluru, Karnataka, India

• Working on prototyping an IoE(Internet of Everything) device. Idea was selected and funded by Qualcomm as part of "Maker Challenge" organized by them. Developing android apps in Android Studio as part of this project to control the device. Working with Dragonboards, to interface the IoE device with the smartphone.

Jun 2015 – Jul 2017 · 2 yrs 1 mo · Bengaluru, Karnataka, India

• Analysing the data and coming with new designs for the GPU block of Snapdragon processor. Also, trying to improve the existing routing algoritms. Involves studying existing algorithms, and trying to improve and modify them to achieve lesser routing delay and increase the operating frequency of the GPU block. Developed perl scripts to automate the flow and parse the data for easy readout of the data.

May 2014 – Jul 2014 · 2 mos · Greater Bengaluru Area

• Intern in PDCAD team of Qualcomm Bangalore Office. Developed scripts which would parse the data from different files and publish it on the dashboard. This dashboard was in turn used to validate and compare the new tool versions with the existing one. Perl was used to parse the data, and HTML and CSS was used to generate the dashboard.
• Awarded Qualstar by my manager