Lucas Scheinkerman

AI & Robotics Engineer

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Buenos Aires, Argentina
University of Buenos Aires

About Me

Lucas Scheinkerman

Hi there! I'm an AI & Robotics Engineer with 5+ years of experience.


Currently working as a AI & Robotics Engineer at Marvik, developing AI pipelines to automate processes in industrial heavy machinery environments!


Always looking for new awesome technical challenges, eager to learn new things and do meaningful work that impacts positively in our world. I love to learn new stuff, understand how complex systems work, and transform theoretical ideas into real things. Translated into my work, I love all aspects of complex systems design and implementation.


From coding low-level C routines, to solving high-level problems using the most suitable data structures and algorithms, I find exciting each and everyone of the layers.

Tech Stack & AI Systems

Languages

C++
Python
Java

AI Systems

LLMs
RAG
ASR

Frameworks & Tools

Unreal Engine
ROS
Android
Docker
PyTorch

Infrastructure

Google Cloud
Docker
Balena
Git
CMake
Bazel

Languages

Spanish Spanish
English English
Hebrew Hebrew

Work experience

AI & Robotics Engineer

Marvik
January 2026 - Present

Design and implementation of an embedded virtual assistant system, aimed at industrial heavy machinery environments (such as loaders, excavators, or lifts).

  • ASR (Automatic Speech Recognition)
  • RAG (Retrieval-Augmented Generation)
  • TTS (Text-to-Speech)
  • Model fine-tuning

Computer Vision Engineer

Optriment
January 2025 - January 2026
  • Responsible for the C++ build infrastructure
  • Implementaion of live Computer Vision pipelines using PyTorch, running on Jetson Nano devices.
  • Deployment of pipelines in several machines using Docker-compose and GCP.
  • Fine-tuning and training state-of-the-art Vision Transformer models.

Robotics simulation Engineer

IAMAI Simulations
June 2023 - January 2025

Developed simulation tools to generate artificial datasets for training AI-based aircraft navigation algorithms, ensuring compliance with specific requirements.

Used C++ for core development and Unreal Engine for high-fidelity visual rendering, enhancing the realism of simulations.
Also I employed Python for implementing ROS nodes and handling API client calls, effectively integrating various technologies to produce robust and accurate training environments.

Infrastructure Software Engineer

Ekumen
September 2019 - May 2022
  • Designed and implemented data collection and ingestion pipelines using Python’s Apache Beam SDK, optimizing data processing workflows.
  • Developed Android applications focused on sensor data collection, augmented reality (AR) features, and live data plotting using Android Java SDK and C++.
  • In charge of code integration, testing, maintenance, and review to ensure high-quality software.
  • Mentored new hires in introductory-level C++ training, enhancing their foundational programming skills.
  • Conducted technical interviews, assessing candidate qualifications and technical expertise.
  • Participated in research group using ROS and SLAM techniques.

Projects