# Eric Li > AI @ Bloomberg Location: New York City Metropolitan Area, United States Profile: https://flows.cv/ericli1 Interests in machine learning and systems! ## Work Experience ### AI Software Engineer @ Bloomberg Jan 2025 – Present AI - Document Entity Linking Low latency model inference, continuous training, NED/NER/SAL. ### Software Engineer Intern @ Bloomberg Jan 2024 – Jan 2024 | New York, New York, United States • Worked in the Sell-Side External Market Making team • Captured trade allocation FIX messages using C++ and SQL, enhancing a trade debugger for 101 users and reducing troubleshooting from 20 hours to minutes. • Handled discrepant FIX messages from international exchanges to capture post-trade messages by buffering and sequencing them based on available FIX tags. • Implemented multi-threading with Boost job pools to avoid blocking main business logic and developed a thread-safe cache for pre-processing trades. • Resolved race conditions in multi-process database operations by implementing atomic database transactions ### IMC Prosperity 2 @ IMC Trading Jan 2024 – Jan 2024 • Placed 84th out of 10,000 teams • Used Python to develop Regression models w/ XGBoost, Market-Making & Market-Taking, ETF Pairs Trading, Arbitrage, and Black-Scholes Options pricing algorithms ### Software Engineer @ Theta Data Jan 2023 – Jan 2023 • Engineer #2 • Developed C++ wrapper of REST API endpoints to improve ease of streaming of low-latency data. • Developed real-time monitoring infrastructure of API service to track anomalies with Be�tter Stack and Java. • Improved subscription conversion rate and user retention by 64% with Stripe checkout dashboards and JavaScript. ### Cornell Quant Fund Trading Competition @ Cornell Quant Fund Jan 2023 – Jan 2023 | New York, United States • Developed trading strategies to simulate trading systematic equities, derivatives, and high frequency blockchain • 6th place in Systematic Equities; 8th place in High Frequency Blockchain • Sponsored by Jane Street, SIG, HRT, DRW, Old Mission, Theta Data, databento ### Software Engineer Intern @ Bloomberg Jan 2023 – Jan 2023 | New York, New York, United States • Worked in the Fixed Income Trading Infrastructure team • Developed a real-time data analytics engine on trading infrastructure with C++ to ensure system integrity. • Leveraged Apache Kafka and Redis for high throughput and low-latency ingestion of data streams. • Utilized Apache Solr and AWS S3 for data querying and distributed file storage of Apache Parquet documents. • Used Python w/ Apache Spark and Pandas to develop time-aggregate snapshots of activity on infrastructure. • Provided granularity into Fixed Income trade events on infrastructure without disturbing production systems. ### Undergraduate Research Assistant @ Dr. Anita Raja's Distributed AI (DAIR) Lab @ Hunter College Jan 2022 – Jan 2023 • Researching the Dynamic Traffic Assignment Problem (TAP) to optimize traffic flow, cost, and volume of a distributed network. • Utilizing Spectral Clustering, Transition Matrices, and Stationary Distributions to converge traffic flow to a system optimal distribution. ### Quantitative Methods Workshop @ Massachusetts Institute of Technology Jan 2023 – Jan 2023 | Cambridge, Massachusetts, United States • One of 6 students selected to attend week-long, intensive workshop hosted by MIT Department of Biology and MIT Brain and Cognitive Science departments. • Learned about general neuroscience and cortical regions, Genomics, EEG signal processing with machine learning, and applying fourier transforms to isolate low resolution protein structures from CryoEM ### Software Engineer Intern - Clean Energy @ Mobileware Inc. Jan 2022 – Jan 2022 • Engineer #3 • Dockerized a Node.js program that parses CSV data to a MongoDB collection to improve consistency and portability of production infrastructure. • Implemented a cron-scheduled Twitter bot that tweets carbon emission data from Firebase. • Developed a MERN stack webapp dashboard that analyzes Twitter streams with a Tensorflow.js Sentiment Analysis model. • Converted Node.js REST API infrastructure to GraphQL framework with an Apollo webserver for improved flexibility of production queries and mutations. • Used Turf.js geometry buffers with Google Directions API and Leaflet maps to form polygon paths to perform geospatial queries in MongoDB. ### Head Of Logistics @ CUNY Hackathon @ CUNY Startups Jan 2022 – Jan 2022 ### Frontend Developer @ Develop for Good Jan 2021 – Jan 2022 | Remote • Pangolin Wildlife Conservation: A West Nigerian nonprofit focused on raising awareness of the endangered Pangolin species. • Constructed a mobile compatible frontend using React.js and Typescript. • Developed a content management system using Javascript’s fetch API to retrieve JSON data. • Built React Components and customized Ant Design elements according to the design team’s Figma specifications. ### Mentee @ Microsoft Jan 2021 – Jan 2021 • Selected to participate as a Mentee for Microsoft Tech Resilience, a program geared towards first-year Computer Science students. • Gained industry mentorship experience from current Microsoft Software Engineers to develop my soft, behavioral, and communicative skills. • Introduced to the importance of self-efficacy, growth mindsets, and different strategies to tackle potential challenges in a Software Engineering career. ## Education ### Bachelor of Science - BS in Computer Science Hunter College ### Xavier High School ## Contact & Social - LinkedIn: https://linkedin.com/in/ericlidev --- Source: https://flows.cv/ericli1 JSON Resume: https://flows.cv/ericli1/resume.json Last updated: 2026-03-30