Nhan Nguyen

Software Engineer @ Pelago

Proud to be
a Software Engineer
.

About

In 2018, I moved from Vietnam to Singapore to pursue my bachelor's degree in Computer Science at NTU. Since then, I've had the opportunity to develop software for an e-commerce platform, a R&D lab and an investment bank. My passion for technology and entrepreneurship led me to co-found two AI startups, named Linh AI and Pew AI.

Currently, I am a software engineer, working on multiple backend and AI projects at the uprising travel experiences platform Pelago.

During my leisure hours, I usually play basketball, yoga or tennis. I also enjoy reading books and watching stand-up comedies (Hope to become a comedian one day!).

Experience

  1. JUN 2023 - PRESENT

    Craft robust backend solutions, drive feature development, and explore AI-driven innovations.

      • Python
      • Flask
      • Celery
      • PostgreSQL
      • AWS
      • Generative AI
    • DEC 2022 - APR 2023

      Led the development of a cutting-edge generative AI platform for product marketing, applying multiple techniques for outstanding results. Conduct research on emerging AI trends, implement AI server and deploy models to production.

        • Python
        • FastAPI
        • MongoDB
        • Azure
        • PyTorch
        • Stable Diffusion
      • MAR 2021 - MAY 2023

        Led the engineering team to build a data-centric platform for ML models, serving hundreds of users. Designed, implemented and deployed the platform's backend. Clients included ST Engineering, MooViTa and more.

        • Python
        • Django
        • Redis
        • PostgreSQL
        • AWS
        • TypeScript
        • React

      Project

      • Graviton is a data-centric platform for ML models that offers robust data management and annotation features, enabling users to efficiently manage and version datasets, explore advanced data annotation tools, and access to expert annotation services.

        Project
      • Pew AI is a cutting-edge generative AI platform, designed to generate high-quality, photo-realistic product backgrounds efficiently.

        Project