Placeholder Profile Picture - Shravan Balaji

SHRAVAN BALAJI

Computer Science & Neuroscience Student | ML Engineer | Data Infrastructure Specialist

Building intelligent systems and data-driven solutions at the intersection of technology and neuroscience.

Building the Future

Education

UC Berkeley
Computer Science & Neuroscience
Expected 2027 | Dean's List
3.95 CS GPA

Current Roles

  • Software Engineer Intern @ Amazon
  • Student Software Engineer @ Berkeley Seismological Lab
  • Research Assistant @ UCSF Health

Technical Arsenal

Python
Java
Scala
AWS
Apache Spark
Machine Learning
React
PyTorch
Data Analysis

Personal Note

Passionate about ML workflows, data infrastructure, quantitative finance, and the intersection of neuroscience and technology. When not coding, you'll find me playing music or competing in math competitions.

IMPACT AT SCALE

A

Software Development Engineer Intern

Amazon

Summer 2024

  • Built data ingestion pipeline with Scala & Apache Spark on AWS Lambda to DynamoDB
  • Implemented cloud infrastructure with CDK and automated CI/CD pipelines
  • Optimized data processing workflows for enterprise-scale applications
B

Research Assistant

Berkeley Seismological Lab

2023-2024

  • Developed CNN classifier models achieving 99% accuracy for seismic data quality
  • Clustered 104,000+ power spectral density plots using DBSCAN
  • Boosted analysis efficiency by 30% through ML optimization
U

ML Research Developer

UCSF Health Research

2023

  • Trained ML models on sleep data for behavioral experiments
  • Built React/TypeScript GUI for ML model deployment
  • Streamlined research workflows with automated analysis tools

Projects That Matter

Seismic Data Classifier

Machine learning pipeline for classifying seismic data patterns with advanced signal processing techniques and neural network implementation.

Sleep Behavior ML Pipeline

Comprehensive machine learning system analyzing sleep patterns using wearable device data with predictive modeling capabilities.

Trading Algorithm Research

Quantitative trading research project implementing algorithmic strategies with backtesting framework and risk management systems.

Recognition

AIME Qualifier 2022-2023

Presidential Scholars Nominee (Top 5000 US)

Chemistry Olympiad National Qualifier (Top 150)

Biology Olympiad Semifinalist (Top 225)

Citadel Collegiate Quant League Finalist 2025

NASA TechRise Winner & Team Leader

DelawareLaunch Pitch Competition 1st Place

Let's Connect

Currently Seeking

Full-time opportunities in ML Engineering, Data Infrastructure, or Quantitative Finance starting 2027