Richard Chen

Founder

2024 - Current

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

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

Venture Partner

2021 - 2024

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

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

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

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