Responsibilities & achievements

- Collaborated with a team of highly-skilled software engineers to develop new features and fix issues on Fuzu platform. - Assessed and reviewed team code and provided effective recommendations for improvement. - Developed new features to make Fuzu unique from other markets. - Fixed production issues and supported members from other teams. - Developed multiple recommendation algorithms based on skill sets; Similar Job Recommendation Algorithm, Job Recommendations Algorithm, User behavioral algorithms. - Built various Business Intelligence Dashboards for better analysis.

Responsibilities & achievements

- Delivered strategic leadership to the dev team of six developers and encouraged them to achieve set goals. Assessed and reviewed team code and provided effective recommendations for improvement. - Led successful integration of NDC standard on backend projects from one of clients using Node.js and React.js - Developed and managed project from scratch, including API development using Django and Django Rest Framework as backend framework to deliver rich content, real-time pricing, and flight availability. - Conducted load test, created custom authentication module, and implemented rate limiter/AWS network/classic balancers to improve website performance and manage 10K problems. - Created customer support website with Vue.js - Built proxy manager using FastAPI and multiple EC2 instances as proxies to ensure flight availability from multiple airlines. - Designed scrapers using Scrapy, Selenium, and Requests library to confirm compatibility with python libraries performance.

Responsibilities & achievements

- Collaborated with a team of highly-skilled software engineers to develop sophisticated solutions. Conducted analysis of business logic of company for the development whole system. Managed whole architecture, including cloud, CI/CD, and server health. Aggregated historical and new data from different sources as well as filtered and grouped sales data to prepare dataset. Leveraged machine learning algorithms for sales forecasting and recommendation. - Performed comprehensive research on state-of-the-art neural networks to study deep learning based computer vision. - Created student attendance system with face recognition by leveraging strong academic knowledge in deep learning and computer vision; trained and made model suitable for recognizing Asian people and implemented FastAPI as backend framework and React Native to establish students and teachers’ apps. - Spearheaded and successfully completed vehicle management system project for logistics company while managing backend and frontend development processes; used Django as backend framework and Vue.js as frontend framework. - Leveraged G7 devices and tracked vehicle position in real-time and displayed location on Chinese maps; analyzed driving behavior and vehicle metrics, such as speed and fuel usage while sending notification on violation; developed API for one app for drivers and one for administrators. - Created personalized recommendation engine using gender, age, color, size, product category, and lifestyle as main attributes as well as Machine Learning (ML) model provided by AWS personalize. - Built and executed predictive models, identifying likely outcomes and establishing relationships between various factors. - Measured business results and optimized prediction accuracy through the development of monitoring models. - Developed Rest API server with Serverless architecture and built a scalable data pipeline with AWS services.