Education
Georgia Institute of Technology (Georgia Tech)

Georgia Institute of Technology (Georgia Tech)

Master of Science in Computer Science
[Fall 2024] to [Spring 2026] in [Atlanta], [United States]

PES University

PES University

Bachelor of Technology in Computer Science and Engineering
[2018] to [2022] in [Bengaluru], [India]

Experience
Advanced Micro Devices (AMD)

Advanced Micro Devices (AMD)

SDE 2, Server Performance Group
[May 2022] to [June 2024] in [Bengaluru], [India]

  • Developed suite of tools to advance methodologies involved in forecasting Server CPU performance - refer "Research" section
  • Engaged in post-silicon performance optimization for Zen4 server processors, Genoa and Bergamo, and the latest Zen5 processors, Turin and Turin-Dense. This work resulted in a 10-40% performance improvement across various workloads.
  • Confgured suite of database workloads - MongoDB, Cassandra, MySQL, Redis, etc for maximized throughput and minimized tail latency scenarios. These workload configurations are used for performance evaluation and making performance uplift claims.

Intern, Server Performance Group
[December 2021] to [May 2022] in [Bengaluru], [India]

  • Conducted competitive analysis of server workloads across SoC designs and compiler variants, providing critical data to guide performance targets for next-generation SoCs.

Morgan Stanley

Morgan Stanley

Summer Technology Analyst Intern
[May 2021] to [July 2021] in [Bengaluru], [India]

  • Developed a full-stack web application that provides real-time data drill-down and analysis capabilities on a live backend data source on a simple search keyword. The algorithm identi es relationship between the search parameter and backend data. This information is used to construct dynamic database queries and service calls to various endpoints to consolidate data onto an interactive dashboard.

Center for Cloud Computing and Big Data, PES University

Center for Cloud Computing and Big Data, PES University

Undergraduate Researcher and Teaching Assistant (TA)
[Jun 2020] to [May 2022] in [Bengaluru], [India]

  • Conducted research in the area of distributed systems, resulting in impactful work that led to a publication.
  • Teaching Assistant for elective ”Big Data” and special topic ”Software Systems Performance” at PES University.
  • Led a laboratory session for National Supercomputing Mission’s Computer Architecture Winter School 2021 on Linux performance monitoring tools like perf, sar, and gprof. The session aimed to demonstrate how these tools can be utilized for debugging and analyzing system performance.
  • Worked with a team to develop a microservice application for the Department of Computer Science, PES University to reduce paperwork involved in senior year thesis evaluations. This work was presented at the student project showcase event in IEEE International Conference on Cloud Computing in Emerging Markets, 2020.

© 2024 Manuel Ernesto