# Preetham Sura

> SWE @ Optiver

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/preetham

## Work Experience
### Software Engineer @ Optiver
Jan 2023 – Present | Chicago, Illinois, United States

### Software Engineer @ Scale AI
Jan 2022 – Jan 2023 | San Francisco Bay Area

### Software Engineer Intern @ Optiver
Jan 2022 – Jan 2022 | Chicago, Illinois, United States

### Software Engineer Intern @ Scale AI
Jan 2022 – Jan 2022

### Software Engineer Intern @ New Relic, Inc.
Jan 2021 – Jan 2021 | San Francisco Bay Area
SWE Intern on the Kafka Platform Team

Primarily worked in Java and Python on the following projects: 
1. Enabled Cruise Control on New Relic's MSK clusters to allow for better kafka partition level observability and improved on the previous cluster rebalancing system 
2. Added a New Relic Metric Sampler to Cruise Control which runs NRQL queries to the New Relic Database to collect cluster level metrics in order to remove Cruise Control's Prometheus Dependency
3. Collected partition level data from Cruise Control and sent it to the New Relic Database to be used in partition dashboards which help developers working with Kafka 
4. Added more automation features to New Relic's Observability Packs so that outside developers will have an easier time adding dashboards to their New Relic accounts
5. Added scaling and performance improvements to Kynapses (cluster routing service) to allow for more data to be routed through this service

Made significant contributions to New Relic Cruise Control open source project at https://github.com/newrelic-forks/cruise-control/tree/kpt-cc-plugin-dev (which is the cruise control branch used in production).

Runner up team in the intern Hackathon where we developed the automation features for New Relic Observability Packs.

### Machine Learning Intern @ Rimble
Jan 2021 – Jan 2021 | Berkeley, California, United States
Primarily worked in python using different data analysis and machine learning packages including NumPy, SciPy, Pandas, Matplotlib, etc. on several projects for Rimble's League of Legends branch including:
1. Improved the pregame win prediction models by cleaning the data better and adding more features 
2. Performed Initial work on creating the dragon and tower prediction models by experimenting with different regression, classification, and clustering models
3. Designed the Rimble Twitch extension for promoting stream viewer engagement 
4. Lead the creation of the pregame and live game fan Q&A pipelines for League of Legends Esports 

Also gained AWS experience when deploying our pipelines and prediction models to Lambda functions. In this process, I gained a bit of experience working with Kinesis and EC2 when researching different types of pipeline designs.

### Robotics at Berkeley VP of Internal Affairs @ Robotics at Berkeley
Jan 2020 – Jan 2021
As an officer, I performed various tasks for the club which include: 
- creating the club's general timeline
- managing recruitment, 
- developing python, TensorFlow, and Git workshops for new members
- updating the website (rab.berkeley.edu)
- performing general administrative tasks 

Through my experience as an officer for R@B, I have gained teamwork, organization, management, and leadership skills. Furthermore, I have learned more about how to work as a team in long-distance online situations.

### CS61A Academic Intern @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2020 – Jan 2020
I was an academic intern for CS61A: Structure and Interpretation of Computer Programs. As an academic intern, I helped students learn the basics of python as well as important programming concepts such as functional/OOP programming, higher-order functions, logical operators, data abstraction, trees, iterators and more.

### Private Tutor @ None
Jan 2018 – Jan 2019
I primarily taught students various concepts from the following courses: 
-Pre-Algebra
-Algebra
-Geometry
-Pre-calculus
-AP Computer Science

As a tutor, I focused on developing my students' problem-solving skills so that they could learn how to apply the concepts they learned to new and more challenging problems without the assistance of a tutor. Through tutoring, I learned about how to work through problems with other people and how useful of a method teaching by example is.


## Education
### Bachelor's degree in Computer Science
University of California, Berkeley

### Foothill High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/preethamsura

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Source: https://flows.cv/preetham
JSON Resume: https://flows.cv/preetham/resume.json
Last updated: 2026-03-29