• I took the lead on projects, drafting technical documents that outlined business objectives and the challenges the project was designed to address. After developing technical design diagrams, I also provided multiple implementation options, each accompanied by its pros and cons. Collaborating with a multinational team, I then divided the project into specific tasks for myself and my teammates. This approach led to a significant increase in data collection efficiency, unlocking opportunities for many more projects.
• Optimized legacy code base, achieving a 50x efficiency improvement in system performance, resulting in faster response times and reduced server loads.
• Broke down complex projects into manageable tasks, enhancing team productivity and clarity.
• Coordination and support of multiple teams of engineers
• Fostered cross-team communication, bridging gaps and aligning objectives for unified outcomes.
• Developed and maintained robust back end services, supporting the seamless operation of Unity Ads.
• Designed and developed projects utilizing and integrating technologies including Google Cloud Services, Golang, MongoDB, Redis, Kafka, TypeScript, Python, Jenkins, Kubernetes, and Docker to achieve scalable and efficient solutions.
• Developed an ML-based prototype product(LLM) to harness emerging technologies, enhancing efficiency and user-friendliness for services with both internal and external applications using tools such as Langchain and llamaindex to improve and scale the product, demonstrating a deep interest and foundational expertise in Machine Learning.
• Leveraged prior experience in Data Science and Machine Learning to analyze data received from third-party vendors; implemented insights to enhance user experience and achieve significant cost reductions for the company.
