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Ingenieroa De IA Visión Por Computadora
Contacto
Competencias
Experiencia demostrada en Python.
Experiencia demostrada en C++.
Experiencia demostrada en C#.
Experiencia demostrada en JavaScript/Typescript.
Experiencia demostrada en SQL.
Educacion
Idiomas
Resumen
Ingenieroa De IA Visión Por Computadora buscando nuevas oportunidades
Experiencia
Software Engineer
Develop MLOps pipeline connecting edge data generation to early testing stages using kubeflow and AWS services for custom Computer Vision models lifetime.. Run A/B lab tests to measure fps on IoT devices under stressful conditions and comparable baselines with custom tools.. Collaborate in a large IoT project built from scratch: develop device firmware in microservices architecture, implement IaC using AWS CDK, perform QA tests.. Develop in-house robotics emulator for heterogeneous fleet management using industry standards (e.g. VDA 5050).
R&D Engineer
Lead feasibility studies: literature review of deep learning models and techniques for Vision (e.g., object detection, action detection, supervised and weakly-supervised), handle large datasets of unstructured data (images); pre-process the generated datasets; train and fine-tune supervised models, analyze final results with ML metrics (accuracy, f1, recall, confusion matrix).. Develop and deploy on edge video streaming pipeline for video processing with ML model, PID controller for robotic arm autonomous motion, and visualization in NVIDIA Orin with low latency specs.. Run A/B lab tests to measure video latency with/without ML video processing techniques.. Software diagnostics and robustness improvement over in-house Surgical Robotic System with integrated Kuka arm.. Collaborate on a VR/XR software project tested and used for laparoscopic surgical procedures.. Apply and improve internal quality processes accordingly (Complaint Management, Material Receiving, Material Inspection, Servicing).
Intern
Collaborate in feasibility study: handled large datasets (of images); train and fine-tune supervised models for object and anomaly detection.. Develop commercial software (prototype): responsive front-end; back-end running trained models to run on dedicated servers in multi-threads.. Develop web-scraping bot with image processing techniques to generate a large dataset with their masks, for later post-processing.