About me

Hi, I am a graduate student in the CS department at Purdue West Lafayette. In the past, I have dabbled in hardware-based ML, Computer Vision and Databases. I used to work at Oracle as an MTS in its Large Object Storage team. Currently on the lookout for Summer 2024 internships
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Education

Purdue University, West Lafayette, IN

Master of Science, Computer Science

2023-

Indian Institute of Technology (IIT) Delhi, India

Bachelor of Technology, Electrical Engineering

2017-2021

Experience

  • Member of Technical Staff, Oracle Database(Oct,2022-Jul,2023)

    • Involved in the maintenance and development of large object storage in the Oracle database to improve reliability and performance
    • Developed and implemented a novel algorithm for a new compression advisor reducing space usage and time taken by up to 80%
    • Responsible for development of security infrastructure, including a new transpiler for a new Backend-as-a-Service related product

  • Applications Engineer, Oracle Fusion ERP Cloud(Jul,2021-Oct,2022)

    • Designed and implemented the frontend and backend of next-gen exception management service using VBCS and Java
    • Developed and tested prototypes of next-gen cloud-native microservices-based Payables product using internal frameworks
    • Wrote unit tests and resolved bugs in codebase: created unit tests and worked on fixing bugs to ensure reliability and stability

Research and Publications

  • On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network

    IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019

  • Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning

    ACM International Conference on Neuromorphic Systems, 2020

Technical skills

  • Languages: C, C++, Java, Python, SQL
  • Frameworks: Django, Flask, Keras, Tensorflow, JUnit, JMockit, Materialize