| Jan 23, 2025 | 🎉 Exciting news! Three of our papers have been accepted to IROS 2025 (IEEE/RSJ International Conference on Intelligent Robots and Systems): Looking forward to presenting our work in Hangzhou, China this October! |
| Jun 01, 2024 | 🎊 Thrilled to join Amazon Web Services (AWS) as an SDE Intern on the RDS Proxy team in Bellevue, WA - my first software engineering internship after transferring from Mechanical Engineering to CS! Built ML-powered performance infrastructure including: - IPEBench Platform: Reduced performance analysis time from 8 hours to 15 minutes using Streamlit visualizations
- Statistical Testing Framework: 10,000+ lines with Welch’s t-test and Bayesian optimization, achieving 99% confidence in regression detection
- Adaptive Sampling: Implemented Thompson Sampling improving test reliability from 47% to 90%
- CloudWatch Integration: Automated real-time monitoring across multiple AWS regions
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| Jan 01, 2024 | Transitioned from M.S. to Ph.D. program in Computer Science at George Mason University, officially beginning my doctoral research journey in robotics and reinforcement learning. |
| Sep 15, 2023 | Submitted first research paper to ICRA 2024 based on work from the Computational Engineering and Robotics Lab, marking my entry into the academic research community. |
| Aug 20, 2023 | Started M.S. in Computer Science at George Mason University, continuing my research in robotics and reinforcement learning while preparing for doctoral studies. |
| Aug 01, 2023 | Began my graduate studies at George Mason University as an M.S. student in Computer Science, joining the robotics and AI labs to focus on reinforcement learning for robotic systems. |
| Jun 15, 2023 | Graduated from UC Santa Barbara with a B.S. in Computer Science, completing my transformation from mechanical engineering to CS with a focus on robotics and AI. |
| Sep 01, 2022 | Began intensive training in AI/ML, taking advanced courses in Computer Vision, Reinforcement Learning, Machine Learning, and Deep Learning at UCSB. These courses provided the theoretical foundation for my future research endeavors. |
| Jun 01, 2022 | Joined the Computational Engineering and Robotics Lab (CERL) at UCSB, developing 3D AR scene inpainting pipelines that achieved 92% accuracy. This research experience solidified my commitment to pursuing robotics and computer vision. |
| Sep 01, 2021 | Made the pivotal decision to transfer from Mechanical Engineering to Computer Science at UC Santa Barbara, driven by a newfound passion for robotics and AI discovered through coursework and research experiences. |