Harbor Liu

Beijing, United States

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Summary

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Rockstar

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Top School

Harbor Liu is a machine learning engineer and NYU Courant MS student specializing in computer vision, deep learning, autonomous systems, and LLMs, with 11 years of engineering experience and over a year of industry ML roles at Baidu and CNPC. He has built production-grade pipelines for fraud detection, multimodal content reuse, and face-embedding systems that yielded measurable lifts in precision/recall and operational savings, and co-authored a cascade-prediction paper at IEEE CAC 2024. Harbor led robotics perception and control for RoboMaster/Robocon teams, integrating RGB-D/LiDAR calibration, YOLOv5 detection, Kalman filtering, RL decision modules, and OpenVINO deployment for real-time performance. He contributes backend fixes and features to high-performance analytics engines like Apache Doris and StarRocks, improving string/date functions and query optimization, showing a rare mix of low-level systems work and ML research. Open to MLE/AI internships for Summer 2026 and full-time roles after graduation, he combines research rigor with hands-on production delivery across large-scale services and edge robotics.

11 years of coding experience

1 year of employment as a software developer

Bachelor’s Degree in Engineering, Artificial Intelligence, Bachelor’s Degree in Engineering, Artificial Intelligence at China University of Petroleum, Beijing

Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at NYU Courant Institute School of Mathematics, Computing, and Data Science

English, Chinese

Github Skills (15)

javas10

databases10

apache-doris10

c-language10

cprogramming-language10

sql10

relational-databases10

back-end-development10

sql-database10

java10

database10

timezone9

date-format9

date-formatting9

query-optimization9

Programming languages (2)

JavaC++

Github contributions (5)

StarRocks/starrocks

Sep 2021 - Jan 2023

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

Role in this project:

Back-end Developer

Contributions:2150 reviews, 465 commits, 1094 PRs in 1 year 4 months

Contributions summary:Harbor primarily focused on bug fixes and implementing improvements related to materialized views and table function functionality within the StarRocks database. This included addressing errors in column rewriting, fixing issues related to database use, and enhancing the parsing and analysis of the `UNNEST` clause with varying data types. Their work involved modifying core Java code, including classes like `MaterializedViewRewriter.java`, `SelectStmt.java`, and `QueryAnalyzer.java`. The user's contributions were aimed at improving the query optimization and functionality of the database.

multi-dimensionalcloudnativescenariosrealtime-databasereal-time

apache/doris

Mar 2019 - Nov 2020

Apache Doris is an easy-to-use, high performance and unified analytics database.

Role in this project:

Back-end Developer

Contributions:13 reviews, 88 commits, 118 PRs in 1 year 8 months

Contributions summary:Harbor primarily contributed to fixing bugs and implementing new features within the Apache Doris database. Their work involved modifying Java code (e.g., `PropertyAnalyzer.java`, `FEFunctions.java`), C++ code (e.g., `string_functions.cpp`), and Python scripts (e.g., `doris_builtins_functions.py`). The user addressed issues related to data processing, string functions, date formatting, time zone support, and introduced enhancements like new string functions.

dbmsapache-dorisdbtreal-timehudi

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