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Ding Gao.SKILL

Experience

Experience

Work/Intern Experience

Tesla Gigafactory

Shanghai, China

R&D Department

Full-Stack Development Intern

Built an agentic pipeline that turns Model 3 and Model Y user feedback into R&D-facing insights.

  • Engineered the harness with LangChain Deep Agents, using TODO-based planning and specialized subagents to break multi-step analysis into bounded work.
  • Recognized user intent, grouped records by request type, and delegated clustering to subagents, then synthesized structured analytical outputs.
  • Integrated the results into an Angular/C# platform that helps R&D triage critical issues and reprioritize feature requests.

ABB Robot Super Factory

Shanghai, China

Robotics Application Software · R&D Department

Software Development Intern

Built an LLM task planner that turns natural-language instructions into executable RAPID commands for an ABB robot.

  • Decomposed instructions into multi-step plans and coordinated parallel robot operations through Azure OpenAI, MCP, and Robot Web Services.
  • Added execution-failure handling so the planner could respond to unsuccessful actions and continue the workflow.
  • Improved Tangram recognition under variable lighting with dynamic HSV tuning, and built a RAG-based AppStudio assistant for robot-function generation and technical retrieval.

Bilibili

Shanghai, China

Software Development Intern

Built an AI-assisted frontend error-monitoring pipeline, from capture to diagnosis.

  • Captured JavaScript and unhandled-rejection errors with NestJS scheduled jobs, analyzed them with LLM agents, and stored the results in MySQL.
  • Built a RAG diagnostic agent that retrieved technical knowledge and produced structured JSON solutions for frontend visualization.

Caerulean AI Inc.

Vancouver, Canada

Full-Stack Developer Intern (Remote)

Architected a LangChain multi-agent system for an interactive virtual world, with memory-augmented agents and RAG-based reasoning.

  • Built the agent architecture, long-term memory, and retrieval-augmented context flow in LangChain.
  • Integrated the system into a browser-based Phaser environment so agents keep context across user interactions.

Research Experience

Graduate Research - LLM-Enabled Digital Twins for Flexible Manufacturing Automation

Donghua University Shanghai, China

Advisor: Prof. Jinsong Bao

Proposed a knowledge-behavior-geometry framework in which LLM agents generate, coordinate, and reconfigure digital twin models as production tasks and system states change.

  • Built a digital twin platform with interactive 3D models, real-time physical-virtual synchronization, and natural-language interaction.
  • Connected agent reasoning to the line through event-driven tool calls and RAG-based manufacturing knowledge retrieval.
  • Validated on a parts defect-monitoring and sorting line: 47% less changeover and recovery time and a lower false-positive rate than conventional methods.

Research Assistant - Embodied AI Robotic System for Industrial Disassembly

Donghua University Shanghai, China

Advisor: Dr. Jiahui Si

Developed a multimodal perception-decision-action system for retired EV-battery disassembly, with voice-guided planning and robotic tool handling.

  • Built a LangGraph agent with a voice-specialized LLM for real-time task planning, tool selection, and human-robot interaction.
  • Combined FastSAM and VLMs for scene understanding with Strategy of Mind prompting and GraspNet for grasp planning.
  • Exposed UR robot control through MCP tool calls for collision-free tool pickup and delivery.

Undergraduate Thesis - 3-DOF Ball Screw Defect Detection Platform

Nanjing Institute of Technology Nanjing, China

Advisor: A/Prof. Fei Hao

Designed a 3-DOF mechatronic platform for ball-screw defect detection, including load analysis, motor-torque calculations, and component selection.

  • Produced 2D engineering drawings, 3D CAD/UG models, and kinematic simulations of the platform.
  • Built an 8051 controller for stepper-driven linear and arc motion, validating circuit and control behavior in Proteus.

Robotics Competition - National University Students Mobile Crane Robot Competition

Nanjing Institute of Technology Nanjing, China

Advisor: A/Prof. Fei Hao

Led the development of a mobile crane robot that transports and places objects along designated routes, covering mechanical design, motion analysis, and system integration.

  • Designed the mechanical structure and integrated sensing, actuation, and control.
  • Programmed an STM32 control system for DC motors, encoder motors, servos, and robotic arms, coordinated over CAN bus.
  • Added a dynamic shortest-path algorithm and moved to a triple-motor mechanism, cutting operation time from 4 min 32 s to 3 min 15 s.

Education

Donghua University

Shanghai

Master of Engineering in Intelligent Manufacturing
  • GPA: 3.93/4.0
  • Thesis: Digital Twin Modeling Method for Flexible Production Lines Based on Large Language Model Multi-Agent Systems

Nanjing Institute of Technology

Nanjing

Bachelor of Engineering in Mechanical Engineering
  • GPA: 3.77/4.0 (last two years)
  • Major rank: 4/99
  • Thesis: Development of a 3-DOF Ball Screw Defect Detection Platform

Selected honors

  1. Excellence Award (National Second Place), 12th NVIDIA Sky Hackathon

    Embodied AI Robot based on LLM Multi-Agent Systems

  2. Donghua University scholarships

    First-Class Scholarship (Top 5%) (2x); Second-Class Scholarship (1x)

  3. National First Prize, National University Students Mathematics Competition

    Provincial First Prize, 2022; Provincial Third Prize, 2020

  4. National First Prize, 6th National University Students Mobile Crane Robot Competition

  5. University Merit Student, 2022 and 2023; Outstanding Graduate Award, 2023

  6. Nanjing Institute of Technology scholarships

    First-Class Scholarship (Top 5%) (1x); Second-Class Scholarship (4x)

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