# Mrinal Bhagavan > Quantitative SWE @ The Voleon Group | EECS @ Berkeley '24 | Ex-Google, Amazon Location: Berkeley, California, United States Profile: https://flows.cv/mrinal Love designing and building large data pipelines to support ML processes. Currently involved in Data Eng for quant trading @ Voleon. Neurotech enthusiast and hobbyist Roblox dev with 1.5M+ player visits. Reach out to chat about absolutely anything :-). ## Work Experience ### Quantitative Software Engineer @ The Voleon Group Jan 2024 – Present | San Francisco Bay Area ### Software Engineer Intern @ The Voleon Group Jan 2023 – Jan 2023 Returned to the team to build more cool trading infrastructure. ### Software Engineer Intern @ The Voleon Group Jan 2022 – Jan 2023 Voleon is a ML-based quant trading firm. I worked on the Data Engineering Team handling the procurement and flow of data within Voleon. ### Software Engineer @ Amazon Jan 2022 – Jan 2022 Tackled lots of unique ML problems within fashion design ### Academic Intern @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2021 – Jan 2022 • Worked as an Academic Intern for CS 61A, UC Berkeley’s introductory CS course with over 2000 students enrolled. • Assisted Head TAs in lab sections to supplement core content through topical mini-lectures and assistance on object-oriented, SQL, Scheme, and declarative programming in Python ### Consulting - Software Developer @ Neurotech@Berkeley Jan 2021 – Jan 2022 ### Software Developer @ Neurotech@Berkeley Jan 2020 – Jan 2021 ### Founder @ BrainID Jan 2020 – Jan 2022 * Created a novel ML authentication method that can verify users based on their 'thoughts' (EEG data). * Received $100k funding offer @ ~$1.5M valuation * Patent pending for "A Universal Method of Nervous System-Based Authentication" ### SWE Intern - Open Hardware Initiative @ Red Hat Jan 2021 – Jan 2021 • Focused on developing an Open Hardware Edge Testbed for rapid prototyping and development in FPGAs by replacing HDL reprogramming with a modifiable C interface. • Optimized an image classifier in C within a hardware-constrained environment by iterating over multiple classifier types to maintain performance and yield constant results • Tested and created a pipeline for implementing similar applications in the testbed for quicker reimplementation ### Contract Developer @ Neurable Jan 2021 – Jan 2021 ### Google CSSI x Coursera @ Google Jan 2020 – Jan 2020 • Invited to participate in the Computer Science Summer Institute x Coursera program • Completed “Algorithmic Toolbox” curriculum that taught industry-standard algorithms & runtime analysis • Applied Greedy, Divide & Conquer, and DP algorithms in numerous scenarios to reach an optimal solution • Worked in a cohort to build a Bootstrap web application hosted on Google Compute Engine servers • Delivered a collaborative project demo to Google employees & community leaders ### Research Intern @ Fermilab Jan 2019 – Jan 2019 | Batavia, Illinois, United States • Developed firmware using Hardware Description Languages for Field-Programmable Gate Arrays (FPGAs) • Processed data using C, C++, & Python with CERN’s ROOT toolkit • Collaborated with a team of PhDs and undergraduate students from international universities and held regular conferences with mentors for reviewing method and findings • Co-authored the report on our findings “Implementation of TDCs in FPGAs” pending for 2021 publishing from Fermilab ### Freelance Coding Camp @ Illinois Institute of Technology Jan 2018 – Jan 2018 | Chicago, Illinois, United States • Introduced to Github developer workflow • Introduced to frontend web development through HTML, CSS, and JS • Worked in teams to build apps and games using Unity Engine through C# • Demoed to mentors as a final product for the summer ## Education ### Bachelor's degree in Electrical Engineering & Computer Science University of California, Berkeley ### High School Diploma in Computer Science Hinsdale Central High School ## Contact & Social - LinkedIn: https://linkedin.com/in/mrinal-bhagavan-ab60801a2 --- Source: https://flows.cv/mrinal JSON Resume: https://flows.cv/mrinal/resume.json Last updated: 2026-04-05