James Ma
Tech Consultant at Maandoh (Ma & Oh Technology Consulting)
Federal Territory of Kuala Lumpur, Malaysia
Summary
🤩
Rockstar🎓
Top SchoolJames Ma is a technology consultant and founder with over a decade of experience building secure, payment-focused platforms across banking, fintech and startups. He blends hands-on full‑stack engineering with cybersecurity expertise—authoring three books including Secure Coding for Software Engineers—and has driven large-scale launches like a GIRO rail that helped reach 500,000 customers and SGD 1B in deposits. His background spans R&D at Mastercard with multiple patent filings, algorithmic trading strategy development, and pragmatic backend work on high‑frequency trading tools. Based in Kuala Lumpur and active in mentoring underrepresented talent, he combines product delivery, threat-aware architecture, and AI-driven automation advisory. Notably, he contributes to trading and payments repositories on GitHub, focusing on maintainable, production-ready code rather than flashy features.
12 years of coding experience
9 years of employment as a software developer
Massachusetts Institute of TechnologyDiploma in Information Technology, Diploma in Information Technology at Nanyang PolytechnicMaster of Science (MSc) Finance, Master of Science (MSc) Finance at Illinois Tech Stuart School of BusinessB.Eng (Hons) Computer Engineering, B.Eng (Hons) Computer Engineering at Nanyang Technological University Singapore
Stackoverflow
81reputation
9kreached
2answers
0questions
Github Skills (9)
pandas10
interactive-brokers10
api10
python10
finance6
alpha-vantage6
pca6
pyspark6
jupyter6
Programming languages (9)
Github contributions (5)
jamesmawm/High-Frequency-Trading-Model-with-IB
May 2014 - Jun 2019
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 releases, 64 commits, 11 PRs in 5 years 2 months
Contributions summary:James primarily focused on code cleanup within the high-frequency trading model, specifically in the `hft_model.py` file. This included refactoring and improving code structure without introducing new features or significant changes in functionality. The user also merged remote-tracking branches, added a requirements file, and made updates related to order execution, demonstrating an understanding of the project's codebase and maintenance.
reversionapipythonalgorithmic-tradinghft
jamesmawm/tensorflow-image-classifier
Oct 2017 - Oct 2017
Contributions:10 commits, 8 PRs, 4 pushes in 1 day
traintensorflow
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