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Amp-Thread-ID: https://ampcode.com/threads/T-019fea54-5ad9-722c-a8b6-3929be29fae4 Co-authored-by: Amp <amp@ampcode.com>
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Hi, I am **Tran Khanh Thanh** (Vietnamese: **Trần Khánh Thành**; also known as **Thanh Tran**, **khanhthanhdev**) - a **first-year Electrical and Computer Engineering student at VinUniversity** in Hanoi, Vietnam. I am interested in **robotics**, **AI agents**, and **full-stack systems** that solve real-world problems.
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Hi, I am **Tran Khanh Thanh** (also known as **khanhthanhdev**) - a second-year ECE student at VinUniversity in Hanoi, Vietnam. I am interested in **robotics**, **AI agents**, and **full-stack systems** that solve real-world problems.
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My current work connects evaluation research, teleoperation-compatible robot software, MuJoCo simulation, and reproducible data pipelines. At [STEAM for Vietnam](https://steamforvietnam.org/), I have also built collaboration-critical software for robotics competition operations; FIRST Global Challenge 2023 and the Vietnam AI Contest 2024 remain important reasons I care about robotics that works outside a notebook.
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My current work connects evaluation research, teleoperation-compatible robot software, MuJoCo simulation, and Physical AI in general. At [STEAM for Vietnam](https://steamforvietnam.org/), I have also built collaboration management software for robotics competition operations.
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Some notable things worth mentioning:
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I am preparing for research-engineering internships in RL, imitation learning, and learning from demonstration.
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- Won **First Prize** at **[Vietnam AI Contest 2024](https://vlabinnovation.com/tin-tuc-su-kien/chinh-thuc-mo-cong-dang-ky-vietnam-ai-contest-2024/)** .
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- Won a **Gold Medal** at the **[FIRST Global Challenge 2023](https://first.global/)** international robotics competition.
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- Won **FPT Award and Final Top 10** at [Vietnam AI Innovation Challenge 2026](https://www.vietnamaichallenge.com/) about realtime AI voice agent.
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I am preparing for research internships in Physical AI and Reinforcement Learning.

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_pages/portfolio.md

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description: A focused job-seeking package for robot-learning and research-engineering internships.
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This package is tailored to the **VinRobotics Talent Program Internship**, with RL, imitation learning, and learning from demonstration as the primary technical scope. Teleoperation and simulation are supporting evidence because they make data collection and policy evaluation concrete rather than speculative.
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The official internship posting is currently closed. This package is prepared for reopening; eligibility and the live requirements should be checked again before any submission.
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This package is tailored to the **VinRobotics Talent Program Internship**, with RL, imitation learning, and learning from demonstration as the primary technical scope.
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## Application artifacts
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1. **[Statement of Purpose](/portfolio/statement-of-purpose/)** explains the research direction, internship goal, and long-term PhD path.
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2. **[Targeted CV](/portfolio/cv/)** presents the relevant evidence in a one-page format for a robot-learning reviewer.
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3. **[Cover Letter](/portfolio/cover-letter/)** makes the employer-specific case for RL, imitation learning, and learning from demonstration.
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4. **[LinkedIn profile](https://www.linkedin.com/in/khanhthanhdev/){:target="\_blank" rel="noopener noreferrer"}** opens the live public profile.
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## Evidence boundary
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The documents distinguish contributed NexArm work from ownership of the platform, and distinguish scripted simulation demonstrations from learned-policy evaluation. The repository and commit history are linked in the [NexArm case study](/projects/nexarm-robot-learning/). The LinkedIn profile is maintained directly on LinkedIn.

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