Chris Lim He/Him

Staff AI/ML Engineer & Full-Stack Engineer | LLM, RAG & Cloud AI · NUS MSc

Queenstown, Singapore·

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About

Staff AI/ML Engineer and Full-Stack Engineer with 10+ years of experience designing, building, and deploying production-grade AI systems across fintech, SaaS, and enterprise environments. Specialized in LLM-powered applications, RAG pipelines, multi-agent architectures, and scalable cloud-native AI platforms on AWS, Azure, and GCP.

Projects

Experience

  • Staff AI/ML Engineer & Full-Stack Engineer

    Self-employed

    May 2025 – Present

    Singapore · Remote

    Technologies: Python, FastAPI, LangChain, LangGraph, OpenAI APIs, Claude APIs, React, TypeScript, PostgreSQL, Redis, Kubernetes, Docker, AWS, Azure OpenAI, Vector Databases, CI/CD

    • Deliver end-to-end AI and full-stack solutions for clients — LLM applications, RAG systems, multi-agent workflows, and production cloud deployments.
    • Architect scalable platforms spanning backend APIs, frontend dashboards, and MLOps pipelines for observability, evaluation, and reliable inference.
  • Staff AI/ML Engineer

    Builder.ai · Full-time

    Jan 2024 – May 2025 · 1 yr 5 mos

    Singapore

    Technologies: Python, FastAPI, LangChain, LangGraph, OpenAI APIs, Claude APIs, React, TypeScript, PostgreSQL, Redis, Kubernetes, Docker, AWS, Azure OpenAI, Vector Databases, CI/CD, GitHub Actions

    • Architected multi-agent AI systems and LLM orchestration pipelines, supporting enterprise workflow automation, semantic search, and intelligent operational copilots.
    • Designed scalable AI inference pipelines, reducing response latency by 40% while maintaining high throughput for distributed cloud workloads.
  • Lead AI Automation Engineer

    Bambu · Full-time

    Jan 2022 – Dec 2023 · 2 yrs

    Singapore

    Technologies: Python, PyTorch, FastAPI, React, TypeScript, PostgreSQL, Redis, Kubernetes, Docker, AWS, Airflow, MLflow, Terraform, OpenAI APIs, LangChain, GitHub Actions

    • Led enterprise AI automation initiatives for financial workflows, recommendation engines, and operational efficiency, automating 40% of manual tasks.
    • Designed and deployed AI-driven pipelines for customer risk analysis, document summarization, and investment recommendations.

Education

  • National University of Singapore

    Master's Degree, Computer Science

    2016 – 2018

  • National University of Singapore

    Bachelor of Science, Mathematics and Computer Science

    2010 – 2014

Licenses & certifications

  • Computer Vision

  • Deep Reinforcement Learning

Skills

AI & Machine Learning

  • LLM
  • RAG
  • LangChain
  • LangGraph
  • OpenAI API
  • Claude API
  • PyTorch
  • TensorFlow
  • spaCy
  • OCR

Software Engineering

  • Python
  • Java
  • Spring Boot
  • Spring MVC
  • FastAPI
  • Flask
  • REST APIs
  • React
  • TypeScript
  • AngularJS
  • HTML
  • CSS
  • jQuery
  • Git
  • Linux

Data & Infrastructure

  • PostgreSQL
  • MySQL
  • Redis
  • Elasticsearch
  • Neo4j
  • Vector Databases
  • Kafka
  • RabbitMQ

Cloud, MLOps & DevOps

  • AWS
  • Azure OpenAI
  • GCP
  • Kubernetes
  • Docker
  • Terraform
  • Airflow
  • MLflow
  • CI/CD
  • GitHub Actions