Backend Developer

• Contributed to the payments team by designing and developing backend features for financial software using Python Flask and AWS services. • Engaged in the complete development lifecycle, encompassing feature design, implementation, testing, and monitoring within a microservices architecture, utilizing Python and MySQL on AWS.

• Developed an AI financial management software algorithm using Google OR tools in Python for the world's largest consulting company;

• Optimized and developed a project and HR management AI system in Python;

• Built a Python Django backend for an automatic machine-learning software website under a Linux-based system;

• Constructed crowdsourcing pipelines to support the core QnA functionality of the Bing search engine within Aether Software;

• Developed Python and C# processor modules to facilitate the data processing tasks within the pipelines;

• Conceptualized and executed a B2B sales platform enabling companies to list and sell their products, operating as a categorized marketplace;

• Assumed leadership of a four-member development team, overseeing and guiding their efforts;

• Spearheaded the development of the website's backend using the Django framework and integrated it seamlessly with React.js frontend;

• Implemented robust communication between the frontend and backend components through REST API integration;

• Successfully automated loan approval processes, resulting in an 80% client approval rate by implementing deep learning models;

• Developed a size-of-wallet prediction model using the XGBoost machine learning algorithm, specifically tailored for business clients' exclusive campaigns;

• Fully automated TBC bank's car insurance process through the implementation of a Facebook chatbot using JavaScript;

• Significantly improved the efficiency of the AI dialog engine by 40% by creating Amazon AWS Lambda services, utilizing both Python and JavaScript;