# Augustus C.

> Software Engineer

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/augustusc

Long crypto, long nuclear, long manufacturing, long America.

https://github.com/augustbleeds

## Work Experience
### Software Engineer, Blockchain @ Chainlink Labs
Jan 2023 – Present | San Francisco Bay Area
Areas: Smart contracts, P2P node (off-chain), and Developer tooling on value-securing protocols.

Products: Data feeds, CRE, CCIP, and Chainlink Multisigs

Chains: EVM, Solana, Starknet

### Software Engineer, Product @ Peloton Interactive
Jan 2021 – Jan 2023 | New York, New York, United States
• Scaled leaderboard service with 200M+ daily requests: cut latency by 10x & cpu by 3x (algorithm patent-pending)
• Design and implement kafka consumers that process 2B+ daily requests in near-real time

### Software Engineer, Infrastructure @ Peloton Interactive
Jan 2018 – Jan 2021 | Greater New York City Area
• Designed and developed end-to-end automated load test tool to simulate 100K+ users to understand performance bottlenecks and prepare for our largest traffic events. 
• Built database schema migration micro-service for Peloton micro-services using Liquibase, Kubernetes, ArgoCD, Jenkins, Docker. Onboarded our core databases onto it.
• Created integration testing pipeline for monorepo CI/CD (memcached, Redis, Postgres, Cassandra, Jenkins, Github)
• Conducted monolithic Python 2 to 3 rollout

### Engineering Fellow @ Macro
Jan 2022 – Jan 2022 | Remote
• Fellowship for senior engineers in Solidity and Ethereum development and auditing. Focus in Security.
• Projects included creating a liquidity pool (constant product AMM), DAO, ICO, and more in addition to auditing code every week (https://github.com/augustjest/solidity-projects)
• Graduated with highest honors (solidity projects near vulnerability-free)

### Summer Research Intern @ National Taiwan University
Jan 2016 – Jan 2016 | Access IC Lab led by Professor Andy Wu
• Worked in Electrical Engineering Department.
• Reproduced master thesis results by learning and implementing motion artifact cancellation of PPG signal to extract heart rate.
• DSP algorithm included linear prediction, correlation analysis, and adaptive filtering

### Software Engineer Intern @ Amazon Web Services (AWS)
Jan 2016 – Jan 2016 | Seattle, Washington, United States
• Designed and developed a new back-end search tool for hardware monitoring data residing on over a million hosts. 
• Stack included Django, AWS S3 and AWS SQS. Written in Python.

### Research Assistant @ Rutgers University
Jan 2015 – Jan 2016 | INSPIRE Lab led by Professor Waheed Bajwa
• Collaborated with two undergraduate researchers to learn and apply cloud K-SVD, a cloud-based dictionary learning algorithm.
• Applied research to build a P2P network of Raspberry Pis to classify images gathered from MNIST database of handwritten images. Network used Open MPI and was written in Python.
• Presented findings at University of Pennsylvania and Rutgers University


## Education
### Bachelor’s Degree in Electrical & Computer Engineering (ECE)
Rutgers University

### Computer Engineering
UCLA

### Startup School
Y Combinator

### Web Development
Horizons School of Technology


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

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Source: https://flows.cv/augustusc
JSON Resume: https://flows.cv/augustusc/resume.json
Last updated: 2026-04-13