Rob Meng
Software Engineer - Trading at Jump Trading Group
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRob Meng is a software engineer with a decade of experience building high-performance backend systems for trading and AI applications, currently at Jump Trading Group. He has a strong track record across startups and top-tier tech firms—from founding engineer work at LanceDB (YC W22) to platform and data roles at Cruise, Coinbase, HRT, and AWS—shipping production systems for ML training, orchestration, and low-latency services. At LanceDB he contributed substantive backend features for a serverless vector DB used in LLM memory workflows, including async client APIs, remote table management, and schema/data-type mapping. Known for an engineer’s pragmatism (“measure twice, optimize once”), he favors binary formats for large payloads and brings a systems-oriented mindset to performance-critical problems. Based in New York, he pairs hands-on implementation skills with practical research experience from Johns Hopkins, and often surfaces non-obvious optimizations in data pipelines and remote client interactions.
11 years of coding experience
7 years of employment as a software developer
Johns Hopkins UniversityHigh School Diploma, High School Diploma at Colorado Rocky Mountain School
Chinese, English
Github Skills (13)
asynchronous10
api-rest10
rest-api10
rpc10
backend10
python10
back-end-development10
api-design10
async10
restful-api10
vector-database9
approximate-nearest-neighbor-search9
database-administration9
Programming languages (6)
Github contributions (5)
lancedb/lancedb
Jun 2023 - Mar 2025
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Role in this project:
Backend Developer
Backend DeveloperContributions:10 releases, 169 reviews, 105 PRs in 1 year 9 months
Contributions summary:Rob primarily focused on implementing backend features and improving the LanceDB's remote client functionality. The contributions include porting the remote connection client and making the `to_df()` function async, which required modifications to the connection class and testing. Additionally, the user implemented a remote table API and added methods for creating, adding to, and overwriting tables within the remote environment. The user also introduced functionalities for schema definition and data type mapping.
aimultimodalapproximate-nearest-neighbor-searchimage-searchnearest-neighbor-search
robin5540/pytorch
Jun 2020 - Feb 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:19 pushes, 3 branches in 8 months
pythongpu-accelerationdeep-learninggpuacceleration
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