Daniel Hochman

Member Of Technical Staff at Anthropic

Austin, Texas, United States
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Summary

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Rockstar
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Top School
Daniel Hochman is a backend-focused platform engineer with 11 years of experience building and hardening cloud-native infrastructure and developer tooling, currently a Member of Technical Staff at Anthropic in Austin. He spent nearly a decade at Lyft expanding infrastructure management capabilities (notably contributing API definitions to the extensible clutch platform) and has contributed to high-profile open-source projects like Envoy and PynamoDB to improve reliability, load balancing, and protocol handling. Daniel combines low-level systems attention—e.g., safer string and monotonic time fixes in Envoy—with higher-level API and retry/credential caching improvements, showing comfort across the stack. His background in electrical and computer engineering from UT Austin and early work in test/verification and smart-energy services give him a pragmatic systems mindset that surfaces in production-ready fixes and documentation improvements.
code11 years of coding experience
job14 years of employment as a software developer
bookBSEE Computer Engineering, BSEE Computer Engineering at The University of Texas at Austin
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Github Skills (33)

env10
c-language10
envoyproxy10
back-end-development10
apidoc10
redis10
api-design10
python10
configuration-management10
http10
load-balancing10
amazon-dynamodb10
proto10
go10
api10

Programming languages (12)

TypeScriptDockerfileShellC++CRustStarlarkJavaScript

Github contributions (5)

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lyft/clutch

Jul 2020 - Nov 2022

Extensible platform for infrastructure management
Role in this project:
userBack-end Developer
Contributions:1425 reviews, 224 commits, 1090 PRs in 2 years 4 months
Contributions summary:Daniel's commits primarily involved modifications to API definitions within the `lyft/clutch` repository, specifically focusing on defining new APIs for various functionalities. These changes included the addition of API definitions for AWS EC2, K8s, Envoy triage, Chaos experiments, and Source Control, with the user contributing to the backend. The contributions indicate a strong focus on expanding the functionality of the infrastructure management platform.
lyftdevopsansibleinfrastructureinfrastructure-management
pynamodb/PynamoDB

Sep 2015 - Jun 2017

A pythonic interface to Amazon's DynamoDB
Role in this project:
userBackend Developer
Contributions:19 releases, 26 commits, 89 PRs in 1 year 9 months
Contributions summary:Daniel primarily focused on improving the backend of the PynamoDB library. Their contributions involved using boto to prepare requests, refactoring the connection module to use vendored requests, and adding retry logic to handle request exceptions. Furthermore, the user implemented features such as logging table names and request IDs for error messages and addressing the caching of credentials, preventing issues with the client's metadata service. These modifications enhance the library's reliability, performance, and debugging capabilities.
aws-dynamodbpythonamazonamazon-dynamodbdynamodb
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Daniel Hochman - Member Of Technical Staff at Anthropic