11/10/2026 updated
AH
100 % available
Computer and Data Engineer | AI, Blockchain & Cybersecurity Specialist
Hong Kong
Only remote
B.Eng. Computer and Data Engineering, City University of Hong Kong, First Class Honours & Cum Laude, GPA 3.73/4.3AI AgentsComputational Science and EngineeringPython (Programming Language)Machine LearningBlockchainTensorFlowSmart ContractsMulti-Agent SystemsDeep LearningEthereumSolidity
Artificial Intelligence & Machine Learning
Development of high-accuracy prediction models using deep learning, TensorFlow, Scikit-learn, and multimodal ensemble methods, including a 94.19% accurate Alzheimer's stage classification system and AI-driven platforms for healthcare and education.
Blockchain Engineering
Design and deployment of Ethereum-based systems including smart contracts in Solidity, ERC-3654 RWA tokenization, real-time multi-network monitoring, and parallel transaction execution simulators for blockchain research.
Cybersecurity & IT Security
Building and testing security systems using Rust-based log parsing, IOC and GeoIP filtering with OpenSearch, Logstash, and Elasticsearch, as well as RFID-based access control, motion detection, and real-time monitoring solutions.
Full-Stack Web Development
Development of full-stack applications using React, Next.js, Flask, FastAPI, SpringBoot, HTML, CSS, JavaScript, and MongoDB, including end-to-end testing pipelines and production-ready deployments.
Data Engineering & Multi-Omics Pipelines
Construction of end-to-end multi-omics pipelines using Python, NumPy, Pandas, and survival analysis methods, with rigorous preprocessing, feature extraction, and validation for biomedical research.
Cloud & DevOps
Experience with AWS, Docker, CI/CD pipelines, Git version control, BitBucket, and zero-downtime deployment strategies for blockchain and web applications.
Python & Java Programming
Extensive use of Python for AI, data engineering, and blockchain projects, as well as Java and C/C++ for system-level and application development.
API Development & Microservices
Design and implementation of REST APIs, FastAPI services, microservices architectures, and integration with Google Workspace API and OAuth2 for enterprise-grade applications.
LLM & Multi-Agent Systems
Building multi-agent research systems with hybrid memory, token/cost constraints, query decomposition, retrieval, synthesis, and graceful degradation under memory limits using LLM APIs and TypeScript.
Development of high-accuracy prediction models using deep learning, TensorFlow, Scikit-learn, and multimodal ensemble methods, including a 94.19% accurate Alzheimer's stage classification system and AI-driven platforms for healthcare and education.
Blockchain Engineering
Design and deployment of Ethereum-based systems including smart contracts in Solidity, ERC-3654 RWA tokenization, real-time multi-network monitoring, and parallel transaction execution simulators for blockchain research.
Cybersecurity & IT Security
Building and testing security systems using Rust-based log parsing, IOC and GeoIP filtering with OpenSearch, Logstash, and Elasticsearch, as well as RFID-based access control, motion detection, and real-time monitoring solutions.
Full-Stack Web Development
Development of full-stack applications using React, Next.js, Flask, FastAPI, SpringBoot, HTML, CSS, JavaScript, and MongoDB, including end-to-end testing pipelines and production-ready deployments.
Data Engineering & Multi-Omics Pipelines
Construction of end-to-end multi-omics pipelines using Python, NumPy, Pandas, and survival analysis methods, with rigorous preprocessing, feature extraction, and validation for biomedical research.
Cloud & DevOps
Experience with AWS, Docker, CI/CD pipelines, Git version control, BitBucket, and zero-downtime deployment strategies for blockchain and web applications.
Python & Java Programming
Extensive use of Python for AI, data engineering, and blockchain projects, as well as Java and C/C++ for system-level and application development.
API Development & Microservices
Design and implementation of REST APIs, FastAPI services, microservices architectures, and integration with Google Workspace API and OAuth2 for enterprise-grade applications.
LLM & Multi-Agent Systems
Building multi-agent research systems with hybrid memory, token/cost constraints, query decomposition, retrieval, synthesis, and graceful degradation under memory limits using LLM APIs and TypeScript.
Languages
EnglishNative speaker
Project history
Ethereum-inspired research simulator evaluating sequential vs parallel transaction execution under varying workloads, dependency ratios, and worker counts. Designed multiple scheduling strategies and measured speedup, efficiency, and correctness against a sequential baseline. Tech: Python, FastAPI, SQLite, Dependency Analysis, Parallel Scheduling.
Real-time monitoring system for Ethereum mainnet and Kurtosis testnet that captures blocks, transactions, and consensus events. Includes re-org detection and a comparison dashboard to support empirical analysis of network behavior and ongoing research into PBS/PoS attack surfaces. Tech: Python, Web3.py, WebSockets, SQLite, FastAPI.
Multi-agent research system with hybrid memory and token/cost constraints. Features query decomposition, retrieval, synthesis, and graceful degradation under memory limits. Full-stack FastAPI and React dashboard supporting multiple LLMs. Tech: Python, FastAPI, React, TypeScript, LLM APIs.