You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
🔭 I’m currently working on grad school at Carnegie Mellon, focusing on cloud and ML systems.
👯 I’m looking to collaborate on building technical product/company.
👾 I like to work with NLP/AI Engineering
2024: RAG assistant that analyzes tabular data to answer engineering questions, with custom eval and Langsmith logging pipeline to drive optimizations @Qingcheng AI
2017-2020: Octopedia, a college counselling chatbot built with nodeJS and pre-LLM NLP services
📊 moving data around with cloud services
In cloud computing class, iterated on an Azure ETL pipeline in Scala, Spark with various MySQL schemas for a 1TB Tweet dataset; worked with different data stores(databricks, snowflake, Azure HDInsight) and query languages(MySQL, MongoDB, neo4j).
At Wyze, designed the migration from AWS Aurora RDS to DynamoDB for storing IoT data
At MM Capital, built an Airtable app for analysts to pull data from startup database into internal deal flow table in one click
🤩 creating end to end UX
Qingcheng AI
created a feature rich Streamlit web app integrated with Lark knowledge base that supports model switching, context management, file upload, answer feedback.
XetHub
Prototyped a custom jupyter notebook service allowing DS/MLEs to open a notebook from Xet repo and persist ML artifacts
Created a new “explore” page for user to manage and discover projects in one interface; written in React, Typescript along with Golang backend/Postgres database adjustments for new search/filter criteria.
Paginated file browser, reducing loading time for big directories from seconds to milliseconds.