Ringostarr

Data Scientist

https://talent.gravityer.com/ringostarr

SyracuseMember since June 27, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ACT implementation for Robotic Pick and Place', 'Reinforcement Learning optimization for Evolutionary algorithms', and 'LunarLander with adaptive entropy'.
Experience with Python, a core language for Data Science.
Exposure to various domains including robotics, reinforcement learning, and LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from VPNs to LLMs, indicates a broad curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ACT-PickandPlace

May 12, 2026 – Present

ACT implementation for Robotic Pick and Place

View Project

ACT-PicknPlace

May 12, 2026 – Present

ACT implementation for pick and place 7DoF robot

View Project

Ringostarr

January 25, 2026 – Present

Akshay Portfolio

View Project

ringostarr.github.io

January 25, 2026 – Present

Portfolio

View Project

EARL

January 25, 2026 – Present

Reinforcement Learning optimization for Evolutionairy algorithms

View Project

LunarLander_v3-Discrete

August 4, 2025 – August 10, 2025

LunarLander with adaptive entropy

View Project

LLMTest

July 8, 2025 – July 15, 2025

Baby LLM model

View Project

poppy-simulations

December 26, 2020 – September 23, 2025

poppy-simulations — GitHub repository

View Project

VPN

August 1, 2018 – August 1, 2018

virtual private network in C

View Project

NoSqlDatabase

August 1, 2018 – August 1, 2018

Nosql datbase using c++

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ACT implementation for Robotic Pick and Place', 'Reinforcement Learning optimization for Evolutionary algorithms', and 'LunarLander with adaptive entropy'.
Experience with Python, a core language for Data Science.
Exposure to various domains including robotics, reinforcement learning, and LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Ringostarr

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit