R&D Engineer — Robotics infrastructure, applied ML, and LLM workflows.
This deck keeps the speculative notebook in the background: two pages of context, then six pages of concrete proof from real projects and volunteering.
I work where sensors, OS primitives, robot middleware, and agent tools meet: camera/depth stream discovery, cross-view time sync, memfd IPC, ROS2 topics, C++ SDK design, CLI/REST interfaces, and AI-assisted app building.
NUS-ISS Graduate Diploma in Systems Analysis; HIT B.Eng. in Intelligent Test & Control Engineering.
Core contributor to LLM-Cookbook; PRs merged into CAMEL and FastGPT for vector database work.
The original deck over-indexed on open questions. I kept only the useful conversation signal: perception, error recovery, data collection, agent memory, and runtime architecture.
Control engineering foundation at HIT; scholarship, innovation projects, deep RL capstone.
NUS-ISS systems training; open-source LLM education and security evaluation work.
A*STAR internship on climate mitigation analytics and GenAI-assisted case conversion.
Robotics runtime engineering: media I/O, depth-camera quirks, ROS/DDS control, agent-assisted tooling.
Deblurring + recognition pipeline for fast-moving, highly blurred text in video.
Model-free dynamic navigation with real-time obstacle avoidance.
Agricultural RAG knowledge base plus adversarial prompts and jailbreak testing.
Localized, standardized and tested one of the earliest influential Chinese prompt-engineering tutorials.
Coastal cleanup, field research on industrial capability, and STEM translation.
A team project from HIT's Innovation and Entrepreneurship Programme, built for extracting text from video when single-frame OCR fails because of motion blur, low resolution, and fast scene changes.
My HIT capstone explored how model-free path planners behave when observation updates are delayed, a setting closer to real dynamic environments than perfect synchronous simulation.
Instead of only asking whether a model could answer, this project tested how it answered under domain grounding, closed and open-ended questions, and adversarial pressure.
This was not just translation. The work made a fast-moving English tutorial usable for a Chinese developer audience by cleaning terminology, API behavior, formatting, and runnable examples.
These projects show how I work outside conventional engineering settings: joining physical labor, organizing research across cities, and helping make STEM content accessible to more people.
Worked on coastal conservation across North and East shorelines; as teams of 28 and 63, helped clean more than 5 tons of marine trash at North Coast.
Led a group of nine to research the Space Museum, World 5G Convention 2022, regional industrial enterprises, and museums in members' hometowns; the team won 2nd prize and was selected as a key incubation team.
Contributed Chinese subtitle translation to Veritasium's official Bilibili channel, helping rigorous STEM concepts reach a broader audience.
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