# Lin L.

> Build large distributed systems to create customer values.

Location: Redwood City, California, United States
Profile: https://flows.cv/linl

## Work Experience
### Software Engineer @ Onehouse
Jan 2023 – Present | Sunnyvale, California, United States
Building transactional solution for data lake workflows!

### Software Engineer @ Facebook
Jan 2018 – Jan 2023 | United States
1. End to end experience on query engine internal, e.g., from grammar to iterator execution;
2. Data storage life cycle management, from ingestion to retention; (the hardest problem for in memory databases)

### Software Engineer @ Rocket Fuel
Jan 2013 – Jan 2018 | Redwood City, CA
What I have done or am doing:
1. Be responsible for the entire life cycle of the web service processing product feeds for all advertisers using dynamic creative in RF;
2. Be responsible for the ETL pipelines and the high-performing web service that provides ad inventory insights for advertisers;
3. Be responsible for stable and high performance cluster-cluster replication for data backup; 
4. Built and be maintaining Hive to MySQL/Vertica data pipelines for data analysts;
5. Enable and tune Tez engine for Hive queries, instead of MR engine;
6. Developed and maintaining the system level test framework for Hive;
7. Analyze users' Hive queries submitted to RFI clusters, search for ineffectiveness patterns, modify Hive to automatically optimize when these patterns are encountered;
8. Trouble shoot for any questions Hive users encounter during their work.

### Research Assistant @ Kent State University
Jan 2008 – Jan 2013 | Kent State University
Department of Computer Science, Research Assistant		
•	Uncertain network structure clustering    
This project aims to cluster uncertain network structure from the information theoretical perspective - cluster purity, and size balance.  Algorithms are implemented in C++ on Linux. This work is published in ICDM12.
						             

•	Highly Cohesive  Group Discovery  for  Large  Social Networks                                                                                                        
This project aims to discover highly cohesive groups in social networks, such as colleagues in the company, members of Special Interest Group (SIG), or friends.  These programs are implemented in C++ on Linux. This work is published in KDD11.

•	Trust Measurement for Large Social Networks                                                     			 
The goal of this project was to efficiently measure the potential trust level for any two people in the social networks. This program was implemented in C++ on Linux. This work is published in PVLDB11.

•	Large Social Network  Summarization
Large social networks (thousands of thousands of vertices) are hard to visualize and understand.  This project was launched to facilitate the storage and visualization of large network structures. In this project, I implemented the network summarization algorithm using bi-clique graphs in C++ on Linux. 

•	Pattern Summarization for Large Transactional Database 
The data analysis for large transactional database always focuses on frequent itemsets mining.  In this project, I was responsible for implementing the summarization algorithm in C++ on Linux. This work is published in KDD09.

### Research Scientist Intern @ Rocket Fuel Inc.
Jan 2012 – Jan 2012 | Redwood City, CA
In this intern I enforced Hive semantic analyzer and tested the accuracy and efficiency of Hive Index.


## Education
### PHD in Computer Science
Kent State University

### MS in Computer Science
University of Electronic Science and Technology of China

### BS in Computer Science
University of Electronic Science and Technology of China


## Contact & Social
- LinkedIn: https://linkedin.com/in/lin-l-33a72425
- Portfolio: http://www.cs.kent.edu/~lliu

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Source: https://flows.cv/linl
JSON Resume: https://flows.cv/linl/resume.json
Last updated: 2026-04-10