- 🔭 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
- 2023: Finetuning KataGo model to visualize Go play style evolution with GoTimeTravel, MLflow integration @XetHub
- 2022: meeting summarization research, classifying speech frames
- 2021: open source internship contributions to multimodal search framework Jina AI, multimodal fashion chatbot using Jina
- 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.
- Qingcheng AI
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jina-ai/serve
jina-ai/serve Public☁️ Build multimodal AI applications with cloud-native stack
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