OceanSMART - software to optimize the execution of cargo movements for terminals, shippers, and receivers.Responsibilities• Be the go-to person for data-related inquiries or troubleshooting from the Product, Engineering, and Customer Support team.• Develop and optimize data pipelines and workflows for vessel data, quality reports, and inspection documents.• Optimize PostgreSQL database performance, including indexing, materialized views, and triggers.• Handle ad-hoc data exports and migrations for QC Engineers and clients.Outcomes• Resolved hundreds of vessel/company data issues: duplicates, missing or inaccurate data.• Resolved a critical PostgreSQL database connection leakage by setting up PgBouncer for backend connections.• Adapted CDC pipeline for Vessel Type Calculation from a breaking change caused by a forced MongoDB upgrade from version 5 to 7 (Java, Kafka, Debezium, Avro).• Increased database insertion speed from 0.37 to 6,956 records/sec by optimizing a poor-performance PostgreSQL trigger.• Optimized ETL pipeline throughput by over 50% by enhancing API rate limit and timeout management methods (asyncio Semaphore).• Implemented a daily data control report workflow for the vessel downgrade system - a critical feature in SMART Vetting (Airflow, SMTP, HTML).

Leading partner of AWS in Vietnam - help enterprises to accelerate digital transformation.• Troubleshoot and fix bugs in Mule ESB (Enterprise Service Bus) applications and produce technical reports for clients.• Develop REST/SOAP API applications and migrate existing IBM Integration Bus applications to Mule ESB.• Maintain/update application configurations for testing purposes or deployments.

Title: Assistant IT Manager - Data Platform & Business Modeling (Big Data)Role: (R&D) Data Engineer for experimental geospatial data projects at Masterise HomesResearch & Development• Conducted research and documentation on GIS and geospatial data topics.• Developed an original hexagon tessellation algorithm to generate a hexagonal grid over geographic regions with high-accuracy to location.Data Engineering• Developed serverless microservices to generate geospatial data for internal pipelines (AWS Lambda, API Gateway).• Built a custom module from scratch to serialize Java objects into GeoJSON format (RFC 7946 specification complied).• Developed a bulk data insertion job into PostgreSQL with a performant JDBC-based solution in Java, handling millions of rows in minutes.• Experimented with geospatial data pipelines using Python, Apache Spark, Apache Sedona, and PostGIS.

Data Annotation• Implemented more than 1000 source code data collection rules using Regex, AST, and CSS Selectors (with ~95% accuracy).• Prepare technical documentation to track data collection rules.Data Analysis• Performed ad-hoc data analysis on supervised ML model predictions (Python, Pandas, SQL, Jupyter Notebook).• Developed Python scripts for data collection and keyword occurrence analysis.Others• Conducted QA tasks to ensure product quality.• Onboarded and mentored data analyst interns, providing guidance and work reviews.

• Learned various software engineering concepts and programming languages to support data annotations.• Analyzed and collected sample source code data to train ML models using Excel and Regex.• Evaluated predictions generated by the supervised ML model.

Welcome and introduce guests from diverse backgrounds to the AO Show’s program and provide assistance to the ticket sales operations.