Ricky Ding 1997

Appearance

Education ​

  • 2016-2020: National University of Singapore

    • BSc in Physics
    • Grade: Honours, Highest Distinction
    • Awards: Science & Technology Undergraduate Scholarship (4 years)
    • Thesis: Density Potential Functional Theory in position and momentum space and its implementation in PyTorch
    • Download certificate -> Verify certificate

  • 2019: University of Göttingen, Germany

    • MSc courses in Biophysics (non-degree exchange program)
    • Grade: 1.4 (German system: 1.0 best - 4.0 pass)
    • Note: studied at Max Planck Institute for Multidisciplinary Sciences
    • Download certificate

Skills ​

  • Languages: Python; JavaScript (TypeScript); C++; Verilog; SQL
  • AI & Scientific: PyTorch, Scikit-learn, Numba, NumPy
  • Frontend: Vue3, React; Capacitor, React Native; ECharts
  • Backend: Node.js, Bun, Elysia; FastAPI; PostgreSQL, pgvector, Redis, Caddy; Docker
  • Hardware: MCU, FPGA/CPLD; Circuit & PCB Design; 3D Design

Employment ​

  • Jul 2020 - May 2021: Center for Quantum Technologies @ National University of Singapore

    • Research Assistant in Software Development
    • Worked on Superconducting Quantum Computing (Transmon):
      • Quantum Optimal Control using Deep Reinforcement Learning (SAC)
      • Controlling quantum hardware devices (microwave)
      • Electron Beam Lithography pattern generation (Python)
      • Temperature controller (PID)
    • Download certificate

  • Nov 2021 - Nov 2025: Frontline Industrial Software @ Singapore

    • Full-Stack Engineer, CTO, Co-founder
    • Received investment from: Entrepreneur First (Pre-Seed, USD 58K), Cocoon Capital & Plug and Play (Seed, USD 700K)
    • Acquired by a company in the USA
    • Featured in the BEAMP program by Singapore's Building and Construction Authority and EnterpriseSG
    • Worked on AI for construction industry:
      • Task duration prediction: vector embedding, vector database -> HDBSCAN clustering -> statistical computation
      • AI Planner: design project plans using LLM
      • Scheduling under complex constraints: Mixed Integer Linear Programming
      • Duration and Resource optimization: Computational Graphs -> Backpropagation -> Gradient Descent (Adam)

Open Source Projects ​

  • NeuroAI Research (Neuroscience-Inspired AI)

    • GitHub: Brain Modules
      • Identify a list of brain's computational units/modules discovered in Neuroscience
      • Replicate these modules' functionalities using Artificial Neural Networks (ANN)
      • Purpose: to understand the brain and explore new ANN architectures
      • Keywords: Place Cells, Transformer, GRU, MLP
    • GitHub: Minimalist RL
      • Minimalist and Decoupled Reinforcement Learning algorithms
      • Keywords: SAC, PPO
    • GitHub: Grad-Free Optim
      • Gradient-free optimization of Neural Network parameters
      • Keywords: Genetic Algorithm, Evolution Strategy

  • Deep Learning for Trading

  • Tesla Coil Research

Entrepreneurial Projects ​

  • EntreGames: LLM powered Social App

    • Startup journey simulation with AI generated stories
    • Social platform for entrepreneurs to connect
    • Startup idea & founder screener for investors

  • Similar Minds: LLM powered Social App

    • User share thoughts -> vector embeddings -> similarity search in vector database -> people with similar thoughts

  • Evil AI Boss

    • A proactive anti-procrastination AI agent that supervises your daily life
    • It makes plans and assigns tasks to you, to ensure you stay on track in pursuing life's goal