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Researcher at UTS Robotics Institute
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Assessing your cultural and operational fit
University of Technology Sydney
Data Scientist
June 27, 2026 – Present
robot-learning-human-trust
January 21, 2024 – July 17, 2025
Codebase of paper "Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales" published at RA-L 2025 📝
View ProjectDL-computer-vision
March 11, 2023 – April 27, 2023
Solutions for Assignments of EECS 498-007/598-005 Deep Learning for Computer Vision (Fall 2020) course from the University of Michigan 📖
View Projectself-improving-RL
July 1, 2022 – July 13, 2023
Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" published at ICRA 2023 📝
View Projectoffline-rl-minigrid-env
May 2, 2022 – June 3, 2022
Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment :key:
View Projectdaily-paper-reading
March 19, 2022 – Present
Just recording papers I read everyday :books:
View ProjectDeFIX
March 1, 2022 – November 2, 2022
Codebase of paper "DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving" published at ITSC 2022 📝
View Projectcarla-imitation-learning
November 25, 2021 – January 8, 2022
Imitation Learning Model Training in Carla with DAgger 🚔
View Projectscenario-based-rl
November 23, 2021 – March 7, 2025
Implementation of Deep Reinforcement Learning Methods on Carla Simulation with Trainings Based on Scenarios 💥
View Projectmulti-agent-evolutionary-rl
October 9, 2021 – December 1, 2021
Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments 🦘
View Projectpettingzoo-environments
September 8, 2021 – September 25, 2021
Simple Training and Evaluation of Multi-Agent Environments with Deep Reinforcement Algorithms 🐨
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized in Reinforcement Learning and autonomous systems, which aligns well with a research-heavy Data Scientist role. The consistent focus on academic publications and personal projects demonstrates initiative and a passion for the field. However, the lack of diversity in project types (almost exclusively RL/autonomous driving) and the absence of team-based or production-oriented projects might indicate a narrower scope of experience for broader data science roles. The candidate's current role as 'Data Scientist' at a university further supports a research-oriented fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on research and problem-solving within the domain of Reinforcement Learning. The publication record suggests diligence and a structured approach to complex technical challenges. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, communication, or stress handling.