I love programming, it doesn't matter if it is hardware or software. I have experience with computer vision, robotics, websites, videogames and mobile apps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tacorl
December 17, 2022 – January 26, 2023
TACO-RL: Latent Plans for Task-Agnostic Offline Reinforcement Learning
View Projecthulc2
November 6, 2022 – October 29, 2023
[ICRA2023] Grounding Language with Visual Affordances over Unstructured Data
View Projectcalvin
July 20, 2021 – September 8, 2025
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
View Projectgym_tacto
July 12, 2021 – July 13, 2021
Set of PyBullet environments for robotic manipulation that can use tactile information
View ProjectDeep-Reinforcement-Learning-for-Adapting-Dynamical-Systems
January 31, 2021 – June 27, 2021
Augmenting dynamical systems by combining them with deep reinforcement learning in order to improve their final performance.
View ProjectVisual_Tactile_Grasping
October 13, 2020 – October 13, 2020
Pytorch version of paper "The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?"
View ProjectMAML-Imitation-Learning
August 7, 2020 – August 7, 2020
Imitation learning using MAML in the metaworld dataset
View ProjectRobot-Skills-from-Video
July 11, 2020 – December 10, 2020
Make a robot capable of performing many different complex tasks without having to relearn each from scratch in a continuous setting.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic/research-oriented robotics and reinforcement learning. While this demonstrates strong technical depth in a specific area, the breadth of projects for a general 'Data Scientist' role is limited. There is a strong alignment with research-heavy data science roles, but less so for roles requiring broader statistical modeling, data engineering, or business intelligence skills. The candidate's experience level is listed as 0, which contradicts the advanced nature of their projects, suggesting a potential mismatch in self-assessment or a very early career stage with significant research exposure.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.