Timeline
NOTE: This is an overview of my CV, here is the full CV as a PDF.
Education
- Bachelor of Technology in Computer Science, PES University, 2019
- Major GPA: 9.51/10
- Relevant Courses: Machine Learning, Advanced Machine Learning, Data Structures, Design & Analysis of Algorithms, Cloud Computing, Big Data, Operating Systems
- Audited Courses at Brown University, 2022
- Courses: Statistical Inference, Conditional Probability and Statistics, Deep Learning, Information Theory, Computational Methods for Brain, Mind, and Behavior
Research experience
- Research Scholar, Serre Lab, Brown University, October 2021 - Present
- Advisor: Dr. Thomas Serre
- Work on understanding neural computations supporting perception to develop effective artificial intelligence and computer vision algorithms.
- Research Assistant, PES University, August 2018 - May 2019
- Advisor: Dr. Gowri Srinivasa
- Real-time fine-grained action recognition framework for hand sanitization auditing aimed at reducing Hospital Acquired Infections.
- Research Intern, Center for Cloud Computing and Big Data, PES University, August 2017 - August 2018
- Advisors: Dr. Sanchika Gupta, Dr. Dinkar Sitaram, Dr. KV Subramaniam
- Machine Learning-based Analysis of Filarial lymphoedema: improved treatments prescribed to Elephantiasis patients.
- Learning Algorithms in Static Analysis of Web Applications: reduced false positived in vulnerability detection from 73% to a mere 6.5%, using encoding, static fuzzing, and machine learning.
- Research Intern, Crucible of Research and Innovation, PES University, May 2016 - July 2016
- Advisor: Dr. VK Agrawal
- Developed a low-cost blood pump to advance dialysis in rural India, and built modules used on the in-house satellite - PiSat.
Industry experience
- Senior Analyst, Goldman Sachs, January 2020 - September 2021
- Algorithmic trading, high-touch, and low-touch flows.
- Built the new Equities Trading platform.
- Sole-ownership of the trade-enrichment module.
- Software Engineer, Cisco Systems, August 2019 - January 2020
- Detector for security vulnerabilities using a Gnosis safe.
- Worked on using AI for failure prediction and analyzing sentiment for failure analysis cases for all Cisco products.
- Software Engineering Intern, Cisco Systems, January 2019 - July 2019
- Failure-case sentiment analysis, automation of processes and work-flows, and testing of software components.
Publications
Akash Nagaraj, Mukund Sood, Vivek Kapoor, Yash Mathur, Bishesh Sinha
Akash Nagaraj, Bishesh Sinha, Mukund Sood, Yash Mathur, Sanchika Gupta, Dinkar Sitaram
Akash Nagaraj, Mukund Sood, Bhagya M Patil
Akash Nagaraj, Mukund Sood, Bishesh Sinha, Ashok Raman, Dinkar Sitaram
Akash Nagaraj, Mukund Sood, Chetna Sureka, Gowri Srinivasa
Akash Nagaraj, Akhil K, Akshay Venkatesh, Srikanth HR
Akash Nagaraj, Mukund Sood, Gowri Srinivasa
Remy Meir, Akash Nagaraj, Samir Samadov, Jaeson Jang, Thomas Serre, David Sheinberg, Jason Ritt, Diane Lipscombe
Victor Boutin, Thomas Fel, Lakshya Singhal, Akash Nagaraj, Julien Colin, Thomas Serre
Akash Nagaraj, Alekh Karkada Ashok, Drew Linsley, Francis E Lewis, Peisen Zhou, Thomas Serre
Teaching
Volunteering
- Education Mentor & Tech Writer, GirlScript Foundation, March 2020 - November 2020
- Data Structures and Algorithms Mentor, CodeChef, April 2020 - July 2020
- Education Support Volunteer, Make A Difference, July 2017 - May 2018