RC

Richard Chen

Founder @ Iterative Ventures | Data @ TikTok | Ex-Facebook, Snap

San Francisco, California

Invests in

Stages:

  • Min Investment:

    $80,000.00
  • Max Investment:

    $500,000.00
  • Target Investment:

    $200,000.00

Work Experience

2024

  • Founder

    2024

    Every journey starts with the first step, and in this case, starts with the initial product. Constant iteration is the only moat. TypeScript React, React Native Vite Firebase GCP FastAPI

2023

  • US eCommerce Traffic data lead

    2023

    Data model and architecture construction to best serve business and product and bring faster iterative loops.

  • Founder

    2021

  • Angel Investor

    2021

    10xAR Windup Minds Uniswap Eigenlayer Sundial Kippo RudderStack You.com Blockdaemon Aesthetic Ignition Warpfy LOANtuitive Obviously AI BukuWarung OlaClick Contraline EarthSense Upstock Chaldal

2021 - 2024

  • Venture Partner

    2021 - 2024

2021 - 2021

  • Staff Software Engineer

    2021 - 2021

    Creating a scalable data platform to support petabytes of data. The responsibilities include various aspect of data, infrastructure, and devops. Apache Airflow Apache Spark Apache Druid Apache Kafka Apache Hive Apache Hadoop Apache Ranger Kubernetes Docker Terraform Chef AWS Suite (EMR, ECR, EC2, Athena, Glue, Zeppelin etc) Golang Scala Python

2020 - 2021

  • Senior Data Engineer

    2020 - 2021

    Solving privacy issue for compliance with GDPR, European Privacy Directive etc. Pipeline (Apache Airflow) Apache Spark (Streaming, ML, Data pipelining) Hive Hadoop Data Infrastructure Flask Async IO Multiprocessing REST API Kubernetes Docker AB testing

2019 - 2020

  • Senior Data Engineer

    2019 - 2020

    Pipeline (Apache Airflow) Apache Spark (Streaming, ML, Data pipelining) Hive Hadoop Data Infrastructure Flask Async IO Multiprocessing REST API Kubernetes Docker AB testing

2018 - 2019

  • Staff Data Scientist

    2018 - 2019

    Software Engineering: Apache Airflow Apache Spark Apache Kafka Redis Real Time Detection System Data Science: Modeling Analysis and insights

  • Senior Software Engineer

    2018 - 2018

    Software Engineering: - Created a bot on AWS Lambda, StepFunction, AWS SNS to automatically deploy, test, and report the status of deployment. - Created NodeJS scripts to handle app data to db ingestion. - Created NodeJS to handle API calls for recipes recommendation results. Machine Learning: - Created a recommendation engine leveraging an unsupervised learning algorithm running on Spark/Hadoop to tackle cold-start problem. - Created a Artificial Neural Network classification model that predicted MoM user churn to 98.5% accuracy. Productionalized on AWS SageMaker with Docker. - Created content and collaborative filtering algorithm to generate personalized recommendation based on Spark and deployed to AWS EMR. Data Engineering: - Created analytics detection infrastructure and alerts - Created SFDC connector to Redshift database - Created Redshift connector to S3 - Created API connector to Redshift - Created API connector to Totango - Created API connector to Qualtric Data Science: - Created the first AB testing platform for the team Security: - Implemented cryptography to data storage Technology: -Jupyter Notebook - Spark - DynamoDB - AWS Cloudformation - AWS Redshift - AWS ECS - AWS Lambda Function - AWS Step Function - Airflow - Looker Languages: - Python - Node.js - SQL

  • Data Scientist

    2018 - 2018