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Tom Lee

Senior Software Engineer

I build intelligent, scalable applications, integrating AI-driven solutions to enhance efficiency and user engagement.

About

I’m a software engineer passionate about building scalable, high-performance applications that blend cutting-edge technology with seamless user experiences. My expertise spans full-stack development, AI-driven automation, and cloud-based architectures, with a strong focus on creating efficient, maintainable, and impactful digital solutions.

Currently, I work as a Senior Software Engineer, where I develop and optimize web applications, ensuring performance, accessibility, and reliability at scale. Over the years, I’ve contributed to AI-powered platforms, backend optimizations, and frontend experiences across startups, enterprise systems, and consulting projects.

Beyond coding, I enjoy exploring emerging AI technologies, refining system architectures, and mentoring fellow developers. When I’m not building software, you’ll probably find me swimming, reading a good book, or spending quality time with family .

Experience

  1. 2023 — Present

    Developed AI-powered automation tools by integrating custom AI models into scalable microservices. Designed user-friendly dashboards for performance metrics, predictive analytics, and AI insights. Built and optimized APIs for real-time data retrieval and AI-driven predictions. Led frontend development using modern SPA frameworks to enhance user experience. Collaborated with AI/ML engineers to deploy machine learning models while ensuring system performance, security, and seamless data flow. Worked cross-functionally to improve platform usability and AI model effectiveness.

    • NestJS
    • Microservices
    • GraphQL
    • React
    • WebSockets
    • AWS
    • GCP
    • TensorFlow
    • AI/ML
  2. 2022 — 2023

    Developed Aiberry’s patient-facing mobile app for real-time AI-driven mental health assessments. Built secure microservices for AI model integration, user data processing, and API communication. Designed and implemented a dashboard portal for clinicians and employers to access insights and analytics. Optimized backend services for efficient data flow, AI-driven recommendations, and real-time updates. Improved API performance and security while ensuring compliance. Collaborated with AI engineers, clinicians, and product teams to enhance functionality and user engagement. Ensured scalability and maintainability through modular architecture and best development practices.

    • Serverless Framework
    • Microservices
    • Python
    • Node.js
    • React Native
    • AI/ML
    • FastAPI
    • Redis
    • PostgreSQL
    • Express.js
  3. 2019 — 2022

    Developed and optimized AI-driven real-time label detection in React Native for instant wine identification. Initially integrated OpenAI in beta, later transitioning to a custom TFLite model for improved efficiency. Built AI-powered microservices in AWS Lambda for dynamic wine detail retrieval. Optimized backend services and APIs for real-time processing. Collaborated with product, design, and data science teams to enhance AI features. Mentored junior developers, promoting best practices in AI integration, backend performance, and agile development.

    • React Native
    • Node.js
    • FastAPI
    • Agile Development
    • OpenAI
    • TensorFlow
    • AWS Lambda
  4. 2017 — 2019

    Gained extensive experience across diverse companies and platforms, building web and mobile apps with modern technologies. Led development from prototyping to deployment, optimized legacy systems, and integrated third-party services. Provided technical leadership while working with cloud platforms like AWS and GCP.

    • Node.js
    • React
    • React Native
    • Next.js
    • Angular
    • Vue
    • TypeScript
    • GraphQL
    • MySQL
    • Firebase
    • CI/CD
    • MongoDB
  5. 2014 — 2017

    Collaborated with product owners to define the roadmap and user stories. Designed and built the backend and frontend for a clinical management portal, including a billing system for transactions and payments. Developed Docker-based microservices in Python, implemented RabbitMQ for async messaging, and conducted load testing with JMeter. Ensured reliability by writing comprehensive test scenarios.

    • Node.js
    • React
    • Next.js
    • Redux
    • Sass
    • Python 3
    • TypeScript
    • HTML5
    • CSS3
  6. 2011 — 2014

    Collaborated in a large Scrum team with product managers, designers, and developers. Implemented Redis caching, reducing page load time by 30%. Integrated payment gateways like PayPal and Stripe. Developed visualization software for customer insights and built a sales reporting module with predictive analytics.

    • AngularJS
    • Node.js
    • Python
    • Sass
    • HTML5
    • CSS3
    • Google Tag Manager
    • Google Analytics
    • MySQL
    • Jenkins
    • Twilio
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