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株式会社RaptorAI
Data Scientist
June 12, 2026 – Present
FredBots_2.0
July 28, 2024 – January 15, 2025
Advanced 3-D ASRS prototype and simulation Repository
View Projectfredbots
August 6, 2023 – July 29, 2025
FRedBots is a ROS-based multi-robot warehouse automation system using Q-learning for real-time path planning, task scheduling, and collision avoidance. Presented at ICCCR 2025 (Hangzhou, China), the project demonstrates scalable reinforcement learning integration for autonomous mobile robots in simulated warehouse environments.
View Projectfredbots
June 14, 2023 – June 28, 2025
Multi Agent Reinforcement Learning + Collaborative Robots
View Projectrobotic-arm-refuelling
May 30, 2023 – July 5, 2023
A ROS package simulating multiple cases of autonomous vehicle refuelling using robotic arms.
View Projectoptobot
May 17, 2023 – May 18, 2023
A carry-over from optobot-approaches, this is a production model of a computer vision algorithm capable of quantitative analysis on a platform hostile to scrapers.
View Projectfederated-reinforcement-learning-cartpole
November 27, 2022 – December 2, 2022
An attempt to simulate collaboration between multiple cartpoles while keeping the environment shared and local.
View Projectscaling-spoon
October 31, 2022 – November 17, 2022
A master repository containing all the SME issued material for the Integrated Robotics and Applied Computer Vision course of PESU IO Slot 14 (2022).
View Projectdynamic-model-interaction
September 20, 2022 – October 4, 2022
An OpenGL based animation of three random low poly objects (a flower, snowflake and a monkey) bouncing around in a sphere.
View Projecthuman-pose-quaternion-extraction
September 9, 2022 – April 8, 2023
A research project repository containing algorithms to extract human pose quaternions using 2D cameras
View Projectvayubhoomi-uav-ugv
June 22, 2022 – August 9, 2022
Main repo for the PIL 2022 internship project
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on robotics, reinforcement learning, and computer vision, which aligns well with a Data Scientist role, especially in an organization dealing with AI/Robotics. The diversity of projects, from warehouse automation to human pose extraction, shows a broad interest within the AI domain. However, the candidate's experience level is listed as 0, despite having a current Data Scientist role, which needs clarification. The projects are all personal, which is good for demonstrating initiative, but lacks insight into collaborative professional environments. The target role 'Data Scientist' is well-supported by the technical skills demonstrated in projects.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong inclination towards research and development in robotics and AI. The 'fredbots' project, presented at ICCCR 2025, suggests an ability to contribute to academic and applied research. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.