# Haolin Wang

> Principal Engineer Consultant @ Caledonia AI | HFT | Distributed Systems | AI/ML

Location: New York, New York, United States
Profile: https://flows.cv/haolinwang

## Work Experience
### Owner, Principal Engineer Consultant @ Caledonia AI
Jan 2023 – Present | New York City Metropolitan Area
Website: https://caledonia.ai

• Bridging Technology and Business
• Translate complex technical capabilities into tangible business outcomes and measurable value for clients.
• C2C Technical Consulting for Financial Services
• Specializing in the design and architecture of data-intensive, distributed systems
• Design and build in low-latency high-frequency trading (HFT) platforms
• Machine learning and agentic AI systems for intelligent automation and decision-making

### Founding Engineer @ Krexin
Jan 2025 – Present | New York City Metropolitan Area

### Senior Python Engineer @ Haven Technologies
Jan 2022 – Jan 2023 | New York City Metropolitan Area

### Engineer @ MassMutual
Jan 2019 – Jan 2021 | New York City Metropolitan Area

### Lead Engineer @ MIES JANSEN, INC.
Jan 2017 – Jan 2019 | New York, New York
• Led the development of “Crystal” (a web application for Sales & Trading Workflow), including DevOps, front and back end, API interfaces, multiple databases connections, latency optimization and cloud deployment
• Implemented new GUI and DB technologies to render 20 million+ rows/500+ column datasets (displaying, updating, grouping, pivoting, aggregating, filtering and sorting in real-time)
• Rebuilt and optimized subscription algorithms response times from minutes to milliseconds by reconstructing queries, aggregation pipelines, calculated fields, user-specific data permissions and reactivate updates
• Developed a CI/CD process using CloudFormation to reduce the time from code change to production deployment from hours to minutes
• Deployed and maintained the web application servers for clients, including managing domains configuration setup, SSO, SSL certificates, security groups and auto scaling
• Analyzed data from third party APIs and translated Portfolios, Market Data and Product Data into Crystal by parsing unique identifiers, categorizing financial instruments
• Communicated closely with clients (IT, salespersons and traders) to produce iterative innovation; tested, debugged and deployed new features in production, delivered to clients in a timely manner
• Reported to the CEO directly, participated in major company decisions on development and provided highly accurate estimated development schedules, foresaw and offered solutions to critical technology challenges

• Technology Utilized: 
Database: MongoDB, Elasticsearch, MapD;
Language: JavaScript, Node.js, Python, Rust, C/C++, HTML, CSS; 
Web Framework: Meteor, React; 
DevOps: AWS, Microsoft Azure, GIT;
API Interfaces: Websocket, RESTful
Third Party APIs: Empirasign MBS API, Bloomberg BLPAPI, Moody's Analytics WSA API.


## Education
### Master of Science (M.S.) in Operations Research
Columbia University

### Bachelor of Business Administration (B.B.A.) in Finance
University of Michigan - Stephen M. Ross School of Business

### Bachelor of Science (B.S.) in Mathematics of Finance & Risk Management (Financial Mathematics)
University of Michigan


## Contact & Social
- LinkedIn: https://linkedin.com/in/haolin-wang-06920380

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Source: https://flows.cv/haolinwang
JSON Resume: https://flows.cv/haolinwang/resume.json
Last updated: 2026-04-05