Pittsburgh, PA
AI Systems
Architected and productionized an end-to-end RAG platform using LangChain, OpenAI, and ChromaDB to accelerate R&D knowledge retrieval and reduce manual document analysis.
Designed prompt-engineering and retrieval strategies to improve structured data extraction accuracy from multimodal data.
Led development of a computer vision pipeline that extracts telemetry directly from PLC interfaces for real-time operational monitoring.
Initiated an AI agent framework for intelligent production resource allocation and scheduling.
Data Platform
Designed and implemented a company-wide data platform spanning R&D, quality, and production operations.
Partnered with stakeholders to translate manufacturing KPIs into scalable database schemas and analytics models.
Built a modular data architecture (React + Flask + PostgreSQL) enabling operators to capture process data across production stages.
Developed scalable pipelines integrating analytical equipment, facility telemetry, and testing workflows.
Deployed and customized Apache Superset to deliver advanced quality analytics and operational dashboards.
Infrastructure & Performance
Architected a high-availability PostgreSQL system with replication, partitioning, and automated failover to support mission-critical production workloads.
Improved query performance through indexing and schema optimization, enabling scalable analytics across growing datasets.
Designed automated data quality validation and alerting systems to ensure reliability of operational metrics.
2022 — 2023
New York, New York, United States
Implemented React front-end UI for trade researchers using ms-ui, Bootstrap, Typescript and Redux
Designed and implemented relational database ibm-db using Sqlalchemy and managed data migration using Alembic
Cooperate with portfolio managers to implement algorithms to calculate securities scores.
Customized Apache-Superset to accept NoSQL database as data source and visualize data in Chart and Dashboard.
Delivered code in a peer review and cloud infrastructure manner, integrated with Jenkins CI-CD DevOps pipeline
Evanston, Illinois, United States
Implemented React components for different types of applications at frontend IDE using Typescript, Redux, and Material UI
Led a machine learning web application project by implementing frontend using Dash Plotly and cooperation with backend engineers on application follow the design
and tested backend APIs with backend Engineers
Designed and implemented Rest API in Django REST framework and test API using Postman
2020 — 2020
Pittsburgh, Pennsylvania, United States
Led the design of the customer behavior dashboard by working with the Business and UX teams
Implemented responsive dashboards by writing reusable HTML templates incorporated with Bootstrap and Dash
Designed and implemented an ETL pipeline to extract data from MySQL database to dashboard data visualization
Developed a classification model and identified 18% of customers that contributed to 85% usage of the app
Managed online team collaboration as a Scrum Master and increased 25% team deliverable points in one month
32 39th St, Pittsburgh, PA 15201
Led the co-development with BlueSky (Austria energy storage solution provider) to produce 48V 2.5KWh battery stack with 3500 cycles life, successfully delivered product in 6 months with 25% cost down
Managed advanced anode material development by collaborating with BASF (Leading Chemicals solutions provider) and planning product roadmap, successfully developed a new formula with 25% battery specific capacity increase
Designed and implemented a data-driven digitalization workflow into battery development by building ETL process with python to save data in SQL databases and load them with analytics and render in Tableau for data visualization, which saved 80% manual work and decreased the report cycle by 33%
Participated in planning and screening sites and factory suppliers for a 1 GWh battery factory in China by meeting with the 10+ suppliers and presenting screening results and next steps proposals to the senior management team weekly
Collaborated with Carnegie Mellon University on next-gen active materials research, published 3 papers on journals
Assisted in setting up a quality test lab in China and coordination with local suppliers, saving $3M quality inspection cost
Experiments design: Based on chemical reaction equation and the equipment properties to design formula and process parameters. Apply regression to identify the best parameters.
Cathode materials screening: Designed test plans for 10 different cathode materials from 4 suppliers. Identified best candidates by running statistical comparisons.
Pilot line process optimization: Applied 6 sigma to the pilot line. Standardized process parameters and control the precision and accuracy of output materials from the slurry, spray dry, calcining.
Education
2019 — 2020
Carnegie Mellon University
Master of Information Systems Management
2019 — 2020
2013 — 2014
Carnegie Mellon University
Master of Materials Science and Engineering
2013 — 2014