# Pinghan Lei

> Software Engineer @ Big Data Federation, Inc. | Backend Development | Auto Trading System | Machine Learning | Cloud Services |

Location: San Mateo, California, United States
Profile: https://flows.cv/pinghan

Software Engineer with 5+ years of experience in backend engineering and building automated trading systems. Proven ability to design, develop, and deploy high-performance, scalable, and reliable systems. Proficient in Python, Flask, Database, R Language, as well as financial markets and trading algorithms. Collaborative team player with excellent problem-solving and communication skills.

As a software engineer, I am passionate about creating innovative and scalable solutions for complex problems in the financial and AI domains. I have a master's degree in computer science and systems from the University of Washington, and a strong background in databases, cloud, and RESTful API development. Currently, I am a software engineer at Big Data Federation, a leading fintech company that provides data-driven insights and trading strategies for global financial markets.

## Work Experience
### Senior Software Engineer @ Big Data Federation, Inc.
Jan 2021 – Present | San Jose, California, United States
- Developed a fully automatic trading system to manage a private fund, covering US and international markets and executing sophisticated trading strategies based on real-time market signals.
- Developed 10+ trading modules for equities, options, foreign exchange and futures markets, enabling the system to execute 20+ types of orders including algo trading orders.
- Created 20+ market data endpoints and deployed on AWS, providing high-quality real-time market data.
- Improved system stability, resulting in 99% uptime hence significantly reduced the workload of maintenance. Also transition away from having a 24/7 on-call support team, resulting in substantial cost savings.
- Integrated third-party APIs, brokerage gateways and financial data sources to expand platform functionality.
- Implemented backtesting and optimization frameworks for recurring evaluation and refining trading
strategies, resulting in consistently outperforming the market baseline by an impressive 2-3%.
- Managed over 50 million trade records daily with a dedicated database and built high-performance RESTful APIs to facilitate swift data storage and retrieval.
- Created cloud-based database server on AWS EC2 from scratch, using Clickhouse database — a
renowned open-source solution well-suited for handling substantial volumes of time series data with
SQL-like queries. Crafted dedicated scripts for data cleaning and seamless ingestion processes.
- Built robust APIs using Flask to exploit both raw and aggregated data for making trading decisions and training prediction models.
- Optimized database queries and API logic, reducing API response time by 50% and ensuring the
performance when users requesting multi-million rows of data.

### Software Engineer @ Big Data Federation, Inc.
Jan 2019 – Jan 2021
- Leveraged Python Flask and a JavaScript charting library Highcharts to build data visualization pipeline, translating market data into trading insight. Integrated data delivery to Slack chatbot and Twillio SMS service
- Deployed and maintained web backend APIs on AWS, accomplished with a robust CI/CD tool Jenkins
- Collaborated with data scientists and trading strategists, delivering profitable strategies with high-quality code

### Software Engineer @ MoBagel
Jan 2018 – Jan 2019
- Implemented robust RESTful APIs to handle HTTP requests for an enterprise-facing AI system
- Combined Python web framework Flask and MySQL database to build highly efficient and stable backend services
- Worked in Cloud environment ie. AWS to host flexible and scalable backend services

### Project Manager @ Foxconn
Jan 2013 – Jan 2015 | New Taipei City, Taiwan
- Worked on ODM projects to develop Windows and Android tablets
- Managed whole product life cycle for NPI(New Product Introduction) projects in fast pace
- Managed cross-functional team including software/hardware engineers, manufacturers and vendors
- Improved development efficiency by saving 40% of development time to build new product
- Built reasonable budget, product SPECs and time table with clients
- Handled Return Merchandise Authorization(RMA), identified product issues and repaired products

### ERP Consulting Intern @ IBM Global Business Process Services
Jan 2012 – Jan 2012 | Taipei City, Taiwan
- Implement SAP ERP system into client’s management methods to improve the managing efficiency
- Test Financial Accounting Module before fully implementation


## Education
### Master’s Degree in Computer Science and Systems
University of Washington

### Master of Business Administration (M.B.A.) in Business Administration and Management, General
National Central University

### Bachelor’s Degree in Quantitative Finance & Industrial Engineering
National Tsing Hua University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ping-han-lei

---
Source: https://flows.cv/pinghan
JSON Resume: https://flows.cv/pinghan/resume.json
Last updated: 2026-03-29