Johngai’s Tech Forge

Crafting the Future with AI and IoT

Resume

Location: Hong Kong SAR | Visa Status: TTPS Visa Holder | Notice Period: Immediate

LinkedIn: linkedin.com/in/johngai9 | Website: johngai.com

Profile

A dynamic and adaptable technical leader, solution architect and data scientist with over 15 years of experience spanning AI/ML, data engineering, cloud architecture, and big data technologies. Proven expertise in leading cross-functional teams to deliver robust, scalable, and high-impact solutions across diverse industries. Adept at bridging the gap between business needs and technology implementations, with hands-on experience in development, deployment, and optimization of advanced systems. Known for flexibility, mentorship, and the ability to excel in both technical and leadership roles, contributing to organizational growth through innovative problem-solving.

Work Experience

Solution Architect, FANO (2025-Now)

  • Designed and implemented enterprise fintech solutions with AI technology, specializing in NLP and voice detections
  • Developed a mixture of microservices to enhance the functionality and scalability of the solutions
  • Collaborated with cross-functional teams to ensure seamless integration and delivery of innovative solutions
  • Improve current Devops system by integrating automatic tools in IaC , CI/CD and testing phases.

Chief Technology Officer & Co-Founder, WESINX (2012–2024)

  • Led cross-functional teams of engineers, analysts, and developers to deliver scalable data platforms and AI-driven solutions for enterprise clients across manufacturing, energy, and logistics sectors.
  • Architected cloud-based solutions on AWS and Azure, ensuring scalability, fault tolerance, and cost optimization for real-time big data processing pipelines.
  • Designed and implemented end-to-end data pipelines using Apache Spark, Airflow, and Kafka, achieving 40% improvement in system efficiency for real-time analytics.
  • Provided hands-on technical leadership in developing predictive models using TensorFlow and PyTorch for anomaly detection, object recognition, and time-series forecasting.
  • Collaborated with stakeholders to translate business requirements into technical solutions, improving decision-making through actionable insights and custom dashboards.
  • Mentored junior engineers and promoted best practices in DevOps, CI/CD, and Agile methodologies, ensuring alignment with organizational goals.

Assistant General Manager, CNME International (2005–2012)

  • Led the design and implementation of IoT-enabled SCADA systems, optimizing industrial automation and real-time data acquisition for global clients.
  • Streamlined data workflows by developing Python-based automation scripts and ETL pipelines, improving data processing speed by 30%.
  • Collaborated with international teams to ensure compliance with data privacy regulations and standards, delivering high-quality solutions in industrial analytics.
  • Played a key role in technical decision-making, balancing trade-offs between performance, scalability, and cost across multiple projects.

Key Projects

  • AI-Powered Energy Monitoring Platform: Designed a real-time analytics platform using Spark, Kafka, and AWS, processing sensor data from 500+ sites to enable predictive maintenance and reduce downtime by 30%.
  • Generative AI for Marketing Optimization: Developed RAG-based (Retrieval-Augmented Generation) solutions for customer segmentation, retention, and campaign management using OpenAI’s GPT-3 and fine-tuned models.
  • Smart Manufacturing Data Platform: Built predictive analytics systems using TensorFlow and PyTorch, automating quality control and anomaly detection for manufacturing clients.
  • Highway Service Area Monitoring: Created a cloud-native system for processing large-scale IoT data, integrating Node.js, Python, and AWS Lambda for real-time operational insights.
  • Chatbot and NLP Solution for Enterprise Support: Designed an AI-driven chatbot combining NLP techniques (BERT, Rasa) and speech recognition for a multilingual customer support system.

Education

Master of Advanced Study in Engineering: UC Berkeley (Online，Ongoing, 2025–2027)

Master of Data Science: University of Pittsburgh(Online，Ongoing, 2024–2026)

Bachelor of Engineering in Automation: Tsinghua University (2001–2005)

Certifications

  • AWS Certified Solutions Architect – Professional
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure Data Engineer Associate
  • Deep Learning Specialization (DeepLearning.AI)
  • PMP (2012–2027)
  • CISA (2024–2027)
  • IBM Data Science Professional Certificate
  • AI Foundations for Everyone (IBM)
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Workspace Administrator

Skills

  • Leadership: Cross-Team Collaboration, Technical Mentorship, Agile/DevOps Practices
  • Programming: Python, Golang, JavaScript, Java, SQL, C#
  • Cloud Platforms: AWS (Lambda, S3, Redshift), Azure (Data Factory, Synapse)
  • Data Engineering: Spark, Flink, Airflow, Kafka, Hadoop
  • Machine Learning: Deep Learning (TensorFlow/PyTorch), Generative AI, NLP (BERT, GPT)
  • Visualization: Power BI, Tableau, Matplotlib
  • DevOps: Docker, Kubernetes, Jenkins, GitLab CI/CD
  • Soft Skills: Stakeholder Communication, Business-Driven Solutions, Multilingual Fluency (English, Mandarin)