I am currently a Software Development Engineer 2 at Amazon under SCOT team.

I earned my MS Computer Science degree from Arizona State University where I was a member of Active Perception Group advised by Prof. Yezhou Yang and co-advised by Prof. Yi Ren. My primary research focus in MS was understanding behaviour of AI under certain adversarial perturbations and improving the robustness in deep reinforcement learning, computer vision, and machine learning methods. More specifically, worked on exploiting deep reinforcement learning agents for autononomous driving to study the robustness under different possible threats.

Before MS, I worked as a Data Engineer at Target where I developed multiple extract, transform, and load processes for the movement of big data. Prior to that, I received my Bachelor’s degree in Computer Science and Engineering from National Institute of Technology, Warangal, India where I was an undergraduate researcher under the guidance of Prof. Raju Bhukya.

Timeline

• Feb 28, 2022 - Started working as Software Development Engineer 2 at Amazon.
• Jan 31, 2022 - Part of my MS thesis work Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns is accepted at ICRA 2022. [Paper][Website]
• Jun 01, 2021 - Started working as Software Development Engineer 2 at GoDaddy.
• Feb 01, 2021 - Started Spring 2021 internship as Software Development Engineer at GoDaddy.
• Jan 11, 2021 - Started MORE program at ASU to perform research on robustness of deep reinforcement learning agents.
• Sep 08, 2020 - Started Fall 2020 internship as Software Development Engineer at GoDaddy.
• Aug 11, 2020 - Received Engineering Graduate Fellowship from Ira A. Fulton Schools of Engineering, ASU for Fall 2020.
• May 18, 2020 - Started Summer 2020 internship as Software Development Engineer at GoDaddy.
• Aug 22, 2019 - Started M.S. Computer Science at ASU.
• Jul 17, 2017 - Started working as a Data Engineer at Target, Bangalore, India.
• Nov 01, 2017 - Graduated with a degree of B.Tech in Computer Science and Engineering from NIT Warangal, India.
• Aug 01, 2017 - A paper titled Detection of acute lymphoblastic leukemia using microscopic images of blood was published in IJAAS. Full text pdf available here.