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Duc Truong

@ductruong

Technical Lead at WooSender Inc. who improved Kafka messaging workflows and developed MongoDB archiving and compaction services.

Australia

Message

At WooSender Inc., I designed and improved asynchronous messaging workflows, co-designed billing service architecture, and developed payment APIs. I also developed MongoDB archiving and compaction services and coordinated a sharded-cluster migration across five application services.

I led backend engineering across Twilio, Plivo, and Bandwidth integrations, and worked with the CTO on technical trade-offs and release planning. At Enlab Software, I led backend development for a communications and appointment automation platform; at Invisible Technologies, I evaluate AI-generated code and technical reasoning.

Experience

Work history, roles, and key accomplishments

Current

Advanced AI Trainer (Software Development)

Current

Invisible Technologies

Apr 2025 - Present (1 year 7 months)

Evaluate AI-generated code and technical reasoning for correctness and practical use. Review prompts and compare model responses, providing structured feedback on errors and reasoning quality.

AI Evaluation Code Review Reasoning Prompt Engineering

Current

Technical Lead, Software Architecture

Current

WooSender Inc.

Apr 2023 - Present (3 years 7 months)

Led backend engineering for a communications SaaS platform, designing asynchronous processing with Kafka and background services, co-designing billing services, and developing MongoDB archiving and compaction services. Coordinated migration to a MongoDB sharded cluster and built AWS S3 recording lifecycle.

C#.NET ASP.NET Core REST APIs Microservices Kafka MongoDB AWS Lambda Amazon SQS SNS S3 Elastic Beanstalk EC2 Cloudwatch Twilio Plivo Bandwidth Docker GitHub Actions

Full Stack Engineer / Back-End Technical Lead

Enlab Software

Apr 2019 - Apr 2023 (4 years)

Led backend development for a communications and appointment automation platform, building C#/.NET and Node.js services, REST APIs, and Dialogflow integrations backed by MongoDB. Optimized MongoDB queries and aggregation pipelines and moved expensive operations into background workers.