Tai Vong

Technical Lead at Gearment Inc.

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Bio

As a Technical Lead at Gearment Inc., a US-based fulfillment solution company, I drive technical strategy and lead teams in developing scalable, cutting-edge systems. With approximately 8 years of experience, my expertise centers on Golang, Python, microservices architecture, cloud-native solutions (AWS, GCP), and containerization (Kubernetes, Docker). I have a proven track record of guiding complex system modernizations and delivering high-impact projects across diverse domains, from e-commerce to real-time communication platforms. My passion for technology extends beyond my primary roles. I'm an active contributor to the open-source community with libraries like Go Socket.io and X-Crafter, share my knowledge through technical articles on Go development and system design, and have an academic background that includes AI research. I thrive on solving intricate problems, am committed to continuous learning and innovation, and enjoy mentoring team members. I welcome new connections and opportunities for collaboration.

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Hello! I'm Tai Vong's AI assistant. Ask me anything about his skills, experience, or projects.

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Skills

  • Go
  • Python
  • JavaScript
  • TypeScript
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • PostgreSQL
  • MongoDB
  • Redis
  • Kafka
  • gRPC
  • REST APIs
  • Microservices
  • System Design
  • Data Structures & Algorithms
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Work Experience

Technical Lead at Gearment Inc.

October 2023 - Present

Responsibilities:

  • Spearheaded a technical team in migrating a legacy PHP monolithic system to a modern Go-based microservices architecture, enhancing system scalability and maintainability.
  • Led development and architectural decisions for core platform services.

Technologies:

Technical Lead at Geniebook

August 2022 - September 2023

Responsibilities:

  • Led a development team in transitioning a legacy PHP monolith to a scalable Go microservices architecture.
  • Oversaw the design and implementation of core platform services, improving system performance and user experience.

Technologies:

Software Engineer Lead / Senior Software Engineer at Be Group JSC

February 2021 - August 2022

Responsibilities:

  • Drove the Platform team, architecting and delivering multiple PaaS and SaaS solutions for Be Group's diverse ecosystem (transport, delivery, finance).
  • Led the development of foundational SDKs (BeKit 2.0, BeLab) to enhance developer productivity and system stability.

Technologies:

Backend Software Engineer at Teko Vietnam Technology JSC

July 2018 - February 2021

Responsibilities:

  • Developed and maintained critical microservices for Teko's e-commerce platform, enhancing functionality and performance across various systems.
  • Contributed to deployment processes, environment upkeep, and CI/CD automation.

Technologies:

Contractor at VNUHCM - University of Science - AI Lab

June 2017 - November 2018

Responsibilities:

  • Developed helper libraries for the VnSigma tutoring platform.
  • Designed and built the website for the Vietcap video subtitling project.

Technologies:

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Latest Projects

[Side Project] Nova Service Loyalty App

(2024) As Backend Developer: Application for manage loyalty accrual and redemption for Nova Service

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[Side Project] Pokerage

(2021) As Backend Developer: Develop the communication features, game state synching mechanism, gaming bots and tour holding for the poker game

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[Side Project] VSmart FaceID

(2019) As Parttime: Help optimizing the NCNN model size for mobile application

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The New High-Performance Face Tracking System based on Detection-Tracking and Tracklet-Tracklet Association in Semi-Online Mode

(2019) As Co-Author: Despite recent advances in multiple object tracking and pedestrian tracking, multiple-face tracking remains a challenging problem. In this work, the authors propose a framework to solve the problem in semi-online manner (the framework runs in real-time speed with two-second delay).

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Video segmentation using keywords

(2017) As Co-Author: At DAVIS-2016 Challenge, many state-of-art video segmentation methods achieve potential results, but they still much depend on annotated frames to distinguish between background and foreground. It takes a lot of time and efforts to create these frames exactly. In this paper, we introduce a method to segment objects from video based on keywords given by user.

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Python programming self-study

(2018) As Co-Author: A book for python basic learner. My laboratory and I co-authored this book to help students learn python programming.

View Project
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Achievements

  • Galaxy Captain - Gearment Inc.

    Awarded Galaxy Captain at Gearment Inc. for being the best manager of the year.

  • TEKO Summit 2020 Guest Speaker

    Be a guest speak at the TEKO Summit 2020 event.

  • Prospect award - The best student team.

    Prospect award - The best student team at KMS Hackathon 2018.

  • Graduation

    Received Honored Bachelor of Science (B.Sc.) in Computer Science from University of Science - VNU-HCMC.

  • 3rd Prize Winner

    Win 3rd Prize at School Thach Thuc (Challenge) Contest