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PROJECT EXPERIENCE
SENSORI
Non-contact Health Monitoring Solution | Singapore and China October 2020 – May 2023
 Spearheaded the integration of MQTT protocol into the SENSORI system, leveraging MQTT libraries in Python to
enable real-time exchange of sensor data, enhancing system responsiveness, and reducing data transmission latency.  Designed and implemented a Socket System for real-time IQ data transmission between sensors, Raspberry Pi, and the
server, utilizing Python socket and network protocols, optimizing data flow and improving monitoring accuracy.  Conducted comprehensive testing and debugging of system components, utilizing Pytest tool for system troubleshooting
and quality checks, ensuring system reliability and stability, reducing 95% of system errors, and minimizing downtime.  Led the development of the SENSORI VSM interactive front-end system, facilitating easy monitoring of vital signs for
users by employing PyQt5 GUI framework and Python, increasing satisfaction and user engagement.  Maintained detailed documentation of system architecture and implementation, facilitating knowledge sharing and
continuity in system development, and maintenance process and enhancing team productivity and communication. EMPOWER
Providing timely interventions for patients with diabetes | Singapore October 2020 – May 2023
 Architected the EMPOWER platform using Flask, defining design requirements and specifications for complex
problem analysis, leveraging modular backend server design principles, and ensuring timely patient interventions.  Integrated Fitbit APIs for periodically synchronizing user data, enabling reliable and continuous data collection, facilitating the collection of data points daily, resulting in zero data breaches, and maintaining confidentiality and
integrity.  Designed and implemented algorithms to analyze diet, physical activity, and medication adherence data, developing
reactive nudges promoting healthy lifestyle choices for users, increasing user engagement by 25%.  Implemented 1000+ unit tests with Pytests to bolster quality assurance, achieving a 99% code coverage rate and
reducing 10+ bugs, introducing new feature deployment, and enhancing code reusability, maintainability, and scalability.  Pioneered Google Analytics to capture user properties and events, enhancing data analytics capabilities and facilitating
informed decision-making for product optimization, leading to actionable insights and improving user experience.  Collaborated with cross-functional teams for implementation of frontend features using React Native, increasing team
productivity & operational efficiency, and enhancing user experience.  Automated deployment processes with CircleCI and Slack, enabling daily maintenance of the system, and reducing
deployment time by 40%. Intelligent Radio Monitoring System
Web-Based Spectrum Management System | China September 2015 – December 2019
 Designed and implemented an intelligent wireless radio monitoring system using Django for border wireless radio
surveillance, reducing radio interference incidents by 25%, and improving border security and management efficiency.  Deployed and configured an OpenStack platform to ensure government control over sensitive data and compliance with
regulatory requirements, reducing data storage costs through resource allocation and utilization optimization.  Configured routers (Huawei) and established virtual private networks (VPN) to enforce strict access controls, encryption, and security policies, safeguarding valuable radio resources, and reducing unauthorized access attempts.  Engineered a microservices-based OpenStack Monitoring System (Openstack-reporter), for efficient monitoring of
OpenStack cloud, enabling identification & resolution of 15+ system issues, and increasing monitoring efficiency by
40%.  Employed Kubernetes and Docker for automated deployment, scaling, and management of applications, reducing
application deployment time by 50%, resulting in faster time-to-market for new features and enhancements.
 Developed LSTM and CNN models in Keras for signal detection, enabling radio monitoring with automatic spectrum
sensing, using machine learning and signal processing expertise, and achieving a 90% accuracy rate in signal
classification.  Presented adaptive signal identification framework using clustering algorithms for smart spectrum management, increasing spectrum utilization efficiency, and optimizing resource allocation, improving network performance.  Created a real-time web FM radio player with WebSocket technology, improving accessibility to radio content, enhancing user retention and satisfaction, and boosting user engagement.  Implemented sensor data collection system with RSA306 in 20+ locations in Honghe Hani and Yi Autonomous
Prefecture of China, Reduced data collection time, facilitating faster spectrum management analysis and decision- making.