# Evion Kim > Applied AI @ Databricks Location: San Mateo, California, United States Profile: https://flows.cv/evion ## Work Experience ### Staff Software Engineer @ Databricks Jan 2022 – Present Tech Lead, Coding Assistance - Domain-specific fine-tuning to adapt LLMs for developer productivity - Metric-driven end-to-end optimization to improve reliability and adoption of AI-assisted coding Founding member of the Applied AI Team - Team behind the creation of Databricks Dolly - Early work on adapting LLMs to Databricks product applications - AI-driven infrastructure optimization for Databricks serverless products ### Staff Software Engineer (ML), Tech Lead Manager @ Uber Jan 2019 – Jan 2022 TLM of Marketplace Matching Inference: Team optimizes the rider/driver matching decision through Machine Learning, Algorithm Solving, and Scalable Backend Design. ### Senior Software Engineer (ML) @ Uber Jan 2017 – Jan 2019 ### Lead Software Engineer in Machine Learning @ Mattermark Jan 2015 – Jan 2017 Mattermark is using machine learning and big data techniques to collect, organize and analyze world's business information. # Applied NLP to extract start-up funding data from raw news articles on the web. Used techniques include deep neural word embedding (Word2Vec) and classification model. # Implemented feature extraction service that converts company information to input vector for ML pipelines. # Built automated ML system to tag the industries of 4 million+ companies in Mattermark's database. # Created general-purpose ML pipeline that trains company classification model and generates prediction automatically. ### Translator @ Self-Employed Jan 2016 – Jan 2017 Translated the book Pattern Recognition and Machine Learning(by Christopher Bishop) to Korean ### Senior Software Engineer / Data Scientist @ LinkedIn Jan 2013 – Jan 2015 As a member of growth relevance team, I worked on key big data and machine learning projects below. # People You May Know: Solved link prediction problem on social graph. Optimized predictive classification algorithm by adding new features, re-training, validation and A/B testing. Improved the scalability of Hadoop workflow. Applied multi-objective optimization. # Suggested Endorsements: Launched recommender system for skills endorsement. Created machine learning model and Hadoop workflow. Used techniques include supervised learning, multi-objective optimization and feature engineering. #History Service: Enhanced the scalability of OLAP framework. #Skill based personalized news recommendation ### Software Engineer @ LinkedIn Jan 2011 – Jan 2013 | Mountain View, CA ### Graduate Teaching Assistant @ Stanford University Jan 2011 – Jan 2011 Teaching Assistant for CS341(Spring, 2010 - 2011): "Project in Mining Massive Data Sets", Prof. Jure Leskovec, Prof. Anand Rajaraman, and Prof. Jeff Ullman Teaching Assistant for CS 246(Winter, 2010 - 2011): "Mining Massive Data Set", Prof. Jure Leskovec ### Software Engineering Intern @ Google Jan 2010 – Jan 2010 #Display Ads Publisher Platform team. - Adding a new JavaScript like scriptable UI feature. - Went thorough product life cycle: ­ materializing idea, writing a PRD, writing a design doc and actual implementation ### Lecturer @ SungKyul University Jan 2009 – Jan 2009 "Introduction to Computer Networking" - Teaching core concepts of computer network to senior students ### Chief Programmer @ The Boston Consulting Group Jan 2009 – Jan 2009 Built a scheduling program that produces the final output of the six-month long project Updated and modified the program actively based on rapidly changing client needs ### Sergeant (Information Management Office) @ 1-72 Armor Battalion, 2nd Infantry Division, 8th United States Army Jan 2006 – Jan 2008 | South Korea #Engineered information systems of the battalion. #Awarded The Army Commendation Medal. ### Business Analyst @ BearingPoint Jan 2005 – Jan 2005 Established BRM (Business Reference Model) project for Korean Government Built BPR/ISP for the Ministry of Government Administration and Home Affairs ### Intern @ Sun Microsystems Jan 2005 – Jan 2005 Implemented internal JSP web application for internal employee education ## Education ### M.S. in Computer Science Stanford University ### B.S in Computer Science Korea Advanced Institute of Science and Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/evionkim --- Source: https://flows.cv/evion JSON Resume: https://flows.cv/evion/resume.json Last updated: 2026-04-12