Led the Photo on Delivery project, reducing refund requests by 20%; Directed cross-functional collaboration with security, privacy, legal, and fulfillment teams to ensure alignment and seamless execution (Java)

Led the Enhanced Order Timeline project in Customer Support domain, simplified service architecture and improved CS agent efficiency; Mentored two junior SDEs and collaborated with Tracking team to drive successful outcomes (Kotlin)

Led the integration of Inventory Availability Service into BwP ordering process, enabling item availability validation; Collaborated with Ordering team and mentored two junior SDEs to drive successful delivery (Kotlin)

Integrated BwP Identity service with SDO AztecService for Login with Amazon functionality (Java)

Enhanced the intent-to-instock (i2i) system, a backend middle layer for Send To Amazon platform and an orchestration framework to facilitate communication with downstream services (Java, Typescript)

Led the Single SKU Palletization project to optimize inbound process for pre-packed pallets, benefiting 6% of FBA sellers

Improved system scalability to increase inbound limit to support up to 5,000 containers per workflow

Generated visualizations for data validation and model evaluation; Reviewed costing and retention models performance

Built optimization and backfitting pipeline for Intact Ontario insurance pricing algorithms using in-house libraries

Led a dev team of 3 engineers; Collaborated with therapists, test users and designers on feedback and updates

Designed REST API for user profile/images/library/language trees/communication records/reports

Implemented backend functions in Python and deployed it using Serverless framework on AWS

Built data pipeline to process user data and generate progress reports

Developed data pipelines (Spark, Scala, Python) to load, transform and integrate billions of data records from different sources into Hive tables and build a unified financial network

Implemented entity resolution algorithms to identify the same entities across different data channels

Implemented NLP algorithms and trained customized models, using NLTK, SpaCy, Scikit-Learn and Keras

Implemented frontend and backend functions using Vue, Flask and MongoDB; Created the docker images and deployed the app on an AWS EC2 server