Hi, I'm Gao Han, a blockchain and Web3 enthusiast with a Master of Science in Blockchain from NTU and hands-on experience across full-stack development, security, and AI-enabled blockchain projects. I currently contribute to AI-powered, scalable blockchain development with A*STAR and have delivered Web3 DApps, cloud logging optimization, and security assessments across automotive and enterprise tech ecosystems. I thrive at the intersection of security, performance, and user experience, and enjoy turning complex requirements into robust, compliant solutions. In previous roles at FOMO Pay and various internships, I built multi-source alerting platforms, back-end services, and security testing pipelines, collaborating with product managers and custody partners to balance security and usability. I'm passionate about learning, sharing knowledge, and building impact through scalable systems.

Hi, I'm Gao Han, a blockchain and Web3 enthusiast with a Master of Science in Blockchain from NTU and hands-on experience across full-stack development, security, and AI-enabled blockchain projects. I currently contribute to AI-powered, scalable blockchain development with A*STAR and have delivered Web3 DApps, cloud logging optimization, and security assessments across automotive and enterprise tech ecosystems. I thrive at the intersection of security, performance, and user experience, and enjoy turning complex requirements into robust, compliant solutions. In previous roles at FOMO Pay and various internships, I built multi-source alerting platforms, back-end services, and security testing pipelines, collaborating with product managers and custody partners to balance security and usability. I'm passionate about learning, sharing knowledge, and building impact through scalable systems.

Available to hire

Hi, I’m Gao Han, a blockchain and Web3 enthusiast with a Master of Science in Blockchain from NTU and hands-on experience across full-stack development, security, and AI-enabled blockchain projects. I currently contribute to AI-powered, scalable blockchain development with A*STAR and have delivered Web3 DApps, cloud logging optimization, and security assessments across automotive and enterprise tech ecosystems. I thrive at the intersection of security, performance, and user experience, and enjoy turning complex requirements into robust, compliant solutions.
In previous roles at FOMO Pay and various internships, I built multi-source alerting platforms, back-end services, and security testing pipelines, collaborating with product managers and custody partners to balance security and usability. I’m passionate about learning, sharing knowledge, and building impact through scalable systems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Intermediate
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Work Experience

Full Stack Development Engineer (Intern) at FOMO Pay Pte. Ltd. (Singapore)
October 1, 2015 - September 22, 2025
Developed a Web3 DApp with wallet-based authentication, whitelisted access control, and secure ERC20 transfers using Web3.js and Ethereum smart contracts. Coordinated with custody partners to implement proof of ownership and KYC compliance while balancing security and user experience.
AI & Blockchain Researcher at A*STAR Institute of High-Performance Computing
June 1, 2015 - September 22, 2025
Designed and implemented a hierarchical deep reinforcement learning framework with GNN-enhanced path encoding for multi-path DeFi token swaps. Achieved high win rate, reduced slippage, with faster convergence and strong robustness on unseen graphs.
Vehicle Networking Security Engineer (Intern) at Zhongji Boye Automotive Technology Co., Ltd.
July 1, 2024 - September 22, 2025
Led smart car network security assessments and penetration testing, identifying 10+ high- and medium-severity vulnerabilities. Used security testing tools to uncover ARM vulnerabilities and collaborated on remediation to enhance vehicle communication resilience.
Backend Development Engineer (Intern) at Wuhan Duolaima Information Technology Co., Ltd.
February 1, 2024 - September 22, 2025
Independently developed a cloud storage system backend in C/Linux, delivering core modules on schedule. Implemented file transfer, password verification, and system logging to support 1,000+ daily file operations with improved reliability. Optimized SQL queries, reducing latency by ~40%.
Research Assistant at China University of Mining and Technology
December 1, 2023 - September 22, 2025
Assisted in the development of image recognition and control technology for mine loop stations, achieving >90% accuracy in vehicle identification and enabling automated dispatch, reducing manual intervention by ~50%.
Full Stack Development Engineer (Intern) at FOMO Pay Pte. Ltd.
October 1, 2015 - September 22, 2025
Developed a Web3 DApp based on a third-party application, featuring wallet-based authentication, whitelisted access control, and secure ERC20 transfers using Web3.js and Ethereum smart contracts. The application launched on time and processed over $100,000 in on-chain transactions. Coordinated with custody partners to implement proof of ownership and KYC compliance, balancing security, compliance, and user experience. Built a multi-source Lark bot alerting platform supporting 3+ upstream integrations (GCP, Aliyun, Huawei Cloud), enabling configurable policy configurations to dynamically route alerts and reduce incident response time by ~40%. Optimized FOMO Cloud Log Viewer, cutting query latency by 35%, reducing frontend rendering time by 50%, and screen memory usage by 35%, enabling users to handle 10M+ logs/day.
AI & Blockchain Researcher at A*STAR Institute of High-Performance Computing
June 1, 2025 - September 22, 2025
Designed and implemented a hierarchical deep reinforcement learning framework (PPO + SAC) with GNN-enhanced path encoding to optimize multi-path DeFi token swaps. Achieved an 84% win rate (95% confidence) against baseline strategies, reducing slippage by ~18% while ensuring stable returns under varying liquidity conditions. Demonstrated 30–40% faster convergence (fewer training steps to stability) and robustness on unseen token swap graphs. Built a full experimentation pipeline with Optuna-based hyperparameter tuning, TensorBoard visualization, and a custom Uniswap V3 simulator to benchmark against Dijkstra (Pathfinder) and brute-force baselines.
Vehicle Networking Security Engineer (Intern) at Zhongji Boye Automotive Technology Co., Ltd.
July 1, 2024 - September 22, 2025
Led smart car network security assessments and actively participated in penetration testing of Zeekr models, identifying and documenting 10+ high- and medium-severity vulnerabilities within the testing scope. Utilized Wi-Fi network cards and security testing toolchains to uncover ARM architecture vulnerabilities, contributing to remediation of system-level security risks and enhancing vehicle communication resilience. Mastered key vehicle communication protocols and proactively collaborated with senior engineers to align findings with industry security standards.
Backend Development Engineer (Intern) at Wuhan Duolaima Information Technology Co., Ltd.
February 1, 2024 - September 22, 2025
Independently developed a cloud storage system on C/Linux backend, delivering core modules on schedule and demonstrating strong ownership and accountability throughout the project lifecycle. Implemented key features including file transfer, password verification, and system logging, enabling secure handling of 1,000+ daily file operations and improving system reliability. Optimized SQL queries, reducing average query latency by ~40% and enhancing database throughput, which significantly improved user experience and system responsiveness.
Research Assistant at China University of Mining and Technology
December 1, 2023 - September 22, 2025
Project: Research and Development of Image Recognition and Control Technology for Loop Type Stations at Mine. Assisted in the development of an image recognition system for mine loop stations, achieving >90% accuracy in vehicle identification under varied conditions. Performed data preprocessing and system testing, improving recognition stability and reducing error rates. Supported integration of the recognition module with station control, enabling automated vehicle dispatch and reducing manual intervention time by ~50%.

Education

Master of Science in Blockchain at Nanyang Technological University (NTU)
August 1, 2024 - December 1, 2025
Bachelor of Engineering in Information Security at China University of Mining and Technology
September 1, 2019 - June 1, 2023
Master of Science in Blockchain at Nanyang Technological University (NTU)
August 1, 2024 - December 1, 2025
Bachelor of Engineering in Information Security at China University of Mining and Technology (CUMT)
September 1, 2019 - June 1, 2023

Qualifications

Second Class Scholarship
January 11, 2030 - September 22, 2025
Second Class Scholarship
January 11, 2030 - September 22, 2025

Industry Experience

Software & Internet, Gaming, Professional Services, Media & Entertainment, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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