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General Information

Full Name Aakash Aanegola
Date of Birth 22nd November 2001
Languages English, Kannada

Education

  • 2023
    B.Tech with Honors in Computer Science and Engineering
    The International Institute of Information Technology, Hyderabad
    • GPA: 9.78
  • 2019
    High School Diploma
    National Public School, HSR, Bengaluru
    • Grade: 95.6%

Experience

  • 2023
    Analyst
    Goldman Sachs, SLC
    • Working for the Marquee Prime Brokerage team on upcoming applications.
  • 2021-Present
    Research Assistant
    Robotics Research Center, IIIT-H
    • Worked on motion forecasting in the presence of uncertainty for self driving vehicles using differentiable optimization.
    • Constructed methods for object detection in adverse weather conditions, improving over prior state of the art methods.
    • Current research areas include: Computer Vision, Perception & Planning, Autonomous Driving, Generative Modelling
  • 2021-Present
    Research Assistant
    Precog, IIIT-H
    • Ideated and implemented a novel in-processing technique to augment the fairness of graph neural networks and optimized the time overhead of fairness.
    • Currently exploring ideas revolving around fairness for unsupervised graph representation learning.
    • Current research areas include: Graph Machine Learning, Fairness, Unsupervised Learning
  • 2022
    Summer Analyst
    Goldman Sachs, Bengaluru
    • Contributed to Marquee - Prime Services, a product used by clients worldwide. Introduced changes that allow the product to be streamlined and the user experience to be fine-tuned. Responsibilities included development, testing and providing aggregate analytics.
  • 2020
    Software Developer
    DreamVu Inc.
    • Developed a software license management tool that included a license generation toolkit and a standalone license validation module using C++ and Qt. Also created a web based license tracker for data collection and analysis using the MERN stack.
  • 2021
    Teaching Assistant
    IIIT-H
    • Worked as a TA for the Automata Theory course. Responsibilities included setting up quizzes, assignments and projects as well as holding supplementary tutorial sessions. Introduced novel weekly seminars into emerging topics in the fields of automata and computational were also held.
    • Also worked as a TA for the Computer Systems and Organization course, which includes the basics of processor design, assembly programming and memory design. Responsibilities included setting assignments, conducting tutorials and grading quiz and assignment submissions.

Honors and Awards

  • 2022
    • Westin Scholar Award
    • Dean's List (Academic Excellence)
  • 2021
    • Dean's List (Academic Excellence)

Academic Interests

  • Graph Machine Learning
    • Unsupervised representation learning
  • Computer Vision
    • Application in autonomous driving
    • Reliability & Trust
  • Compilers
    • Deep learning compilers
    • Loop optimization

Miscellaneous

  • Music Club Lead - Head the college music club, organized events and worked with sound technicians to ensure optimal performing environment for musicians.
  • Gaming Club Lead - Coordinated Pokemon Showdown events for the college gaming club to bring visibility to conventionally not-so-popular games