1. Architected a backend system capable of processing and managing 60 million events per minute, leveraging microservices implemented in Golang with Apache Pulsar for real-time, mission-critical AI analytics at scale.2. Optimized Apache Pulsar configurations and vertically scaled the cluster, achieving a 50x increase in throughput to handle 1 million events per second while maintaining low latency through benchmarking and performance analysis.3. Implemented a priority-based compute aggregation system to optimize GPU resource utilization across diverse self-managed data centers. Leveraged Apache Pulsar as the communication medium, enabling micro-services across all data centers to effectively load-balance their GPU resources.

Exotel is a full-stack customer engagement platform streamlining customer interactions1. Successfully led a team of 5 engineers in designing, developing, and deploying a backend service, ensuring its reliability and availability. Streamlined the development process to enhance team agility, resulting in predictable timelines and improved team efficiency.2. Optimised multiple services to upscale agent calls analytics dashboard by 10x of peak traffic, delivering actionable insights that drove business growth.3. Spearheaded efforts to improve core product deployment and up-time reliability by implementing robust monitoring systems for service target groups, significantly reducing downtime and enhancing user experience.4. Leveraged technical expertise to fix bugs and enhance back-end web service APIs, ensuring seamless integration with third-party applications and platforms.5. Mentored and guided junior team members, including MTS-1, in their work.

Worked on the core product Endovision Cerebro1. Successfully revamped the existing software architecture by transitioning it from monolithic to microservices, resulting in improved software performance through the use of distributed computing across multiple cores.2. Led the development of a highly scalable software solution currently deployed in multiple hospitals across Hong Kong, driving operational efficiency and improved patient outcomes.3. Designed and built Cloud Cerebro, a state-of-the-art cloud-based inference engine that leverages low latency communications and gRPC technology to deliver near real-time inferences from remote cloud inference machines, driving innovation and improving the customer experience.

Worked on their In-house Data labelling tool1. Successfully streamlined AI models in production and developed an AI model benchmarking and debugging pipeline that significantly improved AI model accuracy from 63% to an impressive 96%, driving operational efficiency and business growth.2. Designed and built the Upload AI-Experiment feature using PyQt5, enabling data scientists to visualize and analyze results quickly, validating and promoting AI experiments to production in record time.

Poseidon-AI targets world food sustainability and revolutionizing the aquaculture industry.Build an entire web application from scratch.1. Successfully led the development of a cutting-edge web application from scratch, leveraging expertise in cloud architecture to plan and implement an efficient, secure, and scalable cloud-based infrastructure that met the needs of the business and customers alike.2. Played a pivotal role in integrating IoT hardware with the web application, driving innovation and enabling seamless communication between devices and the web app, resulting in improved user experience and operational efficiency.

Made scientific research easier and measurable with rewarding reuse and leading the open reuse movement.1. Actively participated in all team discussions regarding the project, contributing valuable insights and ideas that drove innovation and improved team collaboration.2. Successfully led the development of a cutting-edge project, leveraging technical expertise and leadership skills to deliver a solution that met the needs of the business and exceeded customer expectations.3. Designed and developed a serverless architecture for the core product, driving operational efficiency and cost savings, while also ensuring scalability to meet future business needs.4. Utilized JavaScript, jQuery, Materialize CSS, and Ajax to develop a user-friendly front-end that delivered an exceptional user experience.5. Designed, developed, and deployed the back-end on AWS using Lambda functions (Python), Dynamodb, SNS & SES, and Cognito, enabling seamless communication between the front-end and back-end, while ensuring data security and reliability.6. Ensured the back-end was cost-efficient and scalable, leveraging technical expertise and knowledge of cloud infrastructure to optimize resources, drive cost savings, and support future business growth.

I worked with the Django framework to build an online programming learning platform, which includes an online judge to run code against test cases. Additionally, I implemented a leaderboard feature that displays rankings overall and by college.