Jeff An

Co-Founder

San Francisco, California, United States8 yrs 7 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Co-founder of AI startup backed by YCombinator.
  • Led engineering teams to build scalable infrastructure.
  • Invented a new programming language for app development.
Stackforce AI infers this person is a SaaS and Fintech expert with strong infrastructure and AI capabilities.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Start-up VenturesSoftware DevelopmentProduct DevelopmentInfrastructure EngineeringTeam LeadershipSite Reliability EngineeringVenture CapitalInvestment StrategyCloud InfrastructureKubernetesNlpApplication DevelopmentMachine LearningImage ClassificationFull Stack DevelopmentAgile MethodologiesTeachingCurriculum Development

Other Skills

Alto SaxophoneAngularJSBiologyBusiness AnalysisBusiness StrategyChemistryChrome ExtensionsCiliumCloud ComputingComputer ScienceConsultingConvolutional Neural NetworksDebateDockerEC2

About

I am a highly driven and inquisitive individual who loves making things more efficient, whether it's algorithms, infrastructure utilization, or manual processes. That's why I'm currently building Momentic.ai, a startup backed by YCombinator, AI Grant, and more. Momentic is revolutionizing the software testing space with AI agents, creating a world where engineers can ship 2X faster with 2X the quality. Come join us!

Experience

8 yrs 7 mos
Total Experience
1 yr 4 mos
Average Tenure
2 yrs 5 mos
Current Experience

Momentic

Co-Founder

Jan 2024Present · 2 yrs 5 mos · San Francisco Bay Area

  • End-to-end testing doesn't have to suck. Try out Momentic.ai's no-code visual editor and achieve velocity and quality at the same time!
Artificial Intelligence (AI)Start-up VenturesInfrastructure as a Service (IaaS)Kubernetes

Retool

Engineering Lead - Retool as Code

Jan 2023Dec 2023 · 11 mos · San Francisco Bay Area

  • Invented Toolscript, a new React-like language capable of representing Retool apps in a reviewable and shareable format, powering AI generation and source control
  • Built a Retool VS Code extension enabling customers to edit Retool apps in their own local dev environment, expanding developer adoption
  • Shipped Enterprise Cloud, a new product SKU leveraging Temporal to allow customers to use on-premise features such as source control on cloud, totaling 1m+ ARR
Software DevelopmentProduct Development

Robinhood

Tech Lead - Developer Infrastructure

Jun 2020Dec 2022 · 2 yrs 6 mos · Menlo Park, California, United States · Hybrid

  • Led a team of 10 engineers to build a Kubernetes production simulation platform powering 5k+ end-to-end tests and personal development environments for 2k+ engineers
  • Handled 10X user growth by designing a multi-cluster architecture that leveraged dynamic autoscaling, Cilium virtual IP addresses, and automatic node failover
  • Overcame performance limitations within Bazel, Jenkins, and Docker to shorten developer iteration cycles by 80% and save ~80k engineering hours annually
Infrastructure EngineeringTeam Leadership

Google

Site Reliability Engineer

Jan 2019Jan 2020 · 1 yr · Seattle, WA

  • Developed a Golang microservice that analyzes config changes and summarizes their impact on compute resources, saving >2k developer hours annually
  • Built a data pipeline that consumes statistics from the Golang service and generates dynamic AngularJS web reports for project managers across Google to review
Site Reliability EngineeringSoftware Development

Contrary

Venture Partner

Jan 2018Jan 2020 · 2 yrs · Greater Toronto Area, Canada

  • Contrary is a talent and research-driven investment firm. We back a small number of exceptional people and the companies they build, from seed to scale.
Venture CapitalInvestment Strategy

Splunk

Cloud Infrastructure Engineer

Jan 2018Jan 2019 · 1 yr · San Francisco Bay Area

  • Designed a Kubernetes service to predictively adjust EC2 Auto Scaling group sizes to match internal demand for build infrastructure, projected to save 1.3 million in the first year
  • Expanded Splunk’s supported platforms to Kubernetes by contributing to a Kubernetes operator capable of launching, scaling, and managing distributed Splunk K8s deployments
  • Enhanced the open source Splunk Docker image with a feature that moves infrequently searched data to an S3 bucket, reducing storage costs by 7x
Cloud InfrastructureKubernetes

Selfmade

Machine Learning Intern

Jan 2018May 2018 · 4 mos · New York

  • Built a convolutional neural network (CNN) that classified Instagram images as ”professional” or ”amateur” with 98% validation accuracy
  • Developed a triplet CNN that ranked Instagram images based on stylistic similarity and integrated this model into a "similar users" suggestion service
  • Architected and deployed a production server powered by a load-balanced, autoscaling EC2 group that allowed clients to bypass Instagram's per-IP address rate-limiting
Machine LearningImage Classification

Open mind

Co-Founder, Lead Application Engineer

Dec 2017Dec 2018 · 1 yr · New Haven

  • Created a chrome extension at a Yale hackathon to analyze the political bias of news articles using NLP sentiment analysis
  • Later accepted into the CITY accelerator at the Yale Tsai Center for Innovative Thinking and presented research findings to members of US Congress, Facebook Policy Specialists
NLPApplication Development

Teranet inc.

Full Stack Developer Intern

Apr 2017Sep 2017 · 5 mos · Greater Toronto Area, Canada

  • Took ownership of front-end & back-end features as part of an Agile scrum
  • team. Delivered major stories on time to the satisfaction of LOB, such as:
  • Implementation of front-end search feature, back-end query logic, and
  • Lucene indexing, for a SQL database of over 10 million records
  • 50% search time reduction by creating a client-side location-based caching feature that preloads results based on recently searched locations
Full Stack DevelopmentAgile Methodologies

Olympiads school

Instructor

Sep 2015May 2016 · 8 mos · Greater Toronto Area, Canada

  • •Prepared and trained advanced science students in preparation for the University of Waterloo Avogadro Contest
  • •Designed proprietary course materials and independently mentored students
TeachingCurriculum Development

Education

University of Waterloo

Bachelor’s Degree — Computer Science / Statistics / Business

University of Toronto Schools

High School

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