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Data/ ML/ Robotics Engineer | Physical AI 15+ patent applications in physical AI 🛠️ Python (7+ yrs), TypeScript (4+ yrs), C++, PyTorch, ROS 2
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Assessing your cultural and operational fit
Sensmore
Data Scientist
June 29, 2026 – Present
VLA_case_study
February 14, 2026 – Present
A vision-language-action framework for construction automation, integrating LLaMA 3.2 1B and YOLO-World v2 to enable tasks like pile detection for wheel loaders
View Projectmaxkeller321.github.io
December 20, 2024 – Present
maxkeller321.github.io — GitHub repository
View ProjectDL_based_BH_reduction
December 1, 2021 – December 1, 2021
DL_based_BH_reduction — GitHub repository
View ProjectActiveLearningProject
December 15, 2020 – June 12, 2021
Active Learning system for QA with BERT using modAl backend & LabelStudio frontend
View ProjectCompiler-mcas-qiskit
October 16, 2020 – April 9, 2021
The repository for the qiskit QuantumCircuit object/circuit to mcas compiler.
View Projectdynamic_control_working_files
July 17, 2020 – March 24, 2021
Last stand of the working Python files for my Bachelorthesis.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research and development in AI/ML, which aligns with an innovative culture. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit. The current experience level (0) and a future start date for a Data Scientist role suggest this candidate is very early in their professional journey, which might require more mentorship in a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.