About
Machine Learning Engineer with a strong Software Engineering background and 5 years of experience, holding a degree in Electronic Engineering (UTFSM). Track record in training and deploying computer vision models and backend development. A solid foundation in computer science and electronics enables proficiency across software and hardware at multiple levels: from microarchitectures to high-level applications. Interested in MLE and SWE roles related to mining, healthcare, aquaculture, and economics.
Skills
Programming
Python
C++
C\#
SQL
SWE
Agile methodologies
DevOps
Docker
GitHub Actions
ML
PyTorch
ONNX Runtime
Scikit-learn
MLFlow
CV
Image processing with OpenCV
YOLO
Camera management
Tracking
Unreal Engine and Blender
HW
Jetson
ZED and Point cloud management
Cloud
Google
AWS (with microcontrollers)
Azure (DL training)
Languages
Spanish (native)
English (B1 in Instituto Chileno Norteamericano)
German (B1 in Deutsch Akademie)
Certifications
CRTIC
Unreal: Fundamentals
2022
Experience
-
Machine Learning EngineerMay 2023 - PresentHoneywell · Santiago, Chile (Hybrid)
- Member of the Innovation Team focused in R&D and Computer Vision.
- Implementation of the full lifecycle of an object detection model: training, hyperparameter tuning, production deployment, and monitoring with selected KPIs.
- Implementation and integration of signals into Honeywell control systems (with C#).
- Development and implementation of computer vision pipelines combining traditional methods (feature-based) and data-driven approaches (DL and traditional ML) for: camera health monitoring, automatic retraining of classification models, and performance evaluation via CLI.
- Design and configuration of Deep Learning model training pipelines using Azure.
-
Computer Vision EngineerJanuary 2023 - May 2023Universidad Técnica Federico Santa María - Wildsense Technologies & Innovation · Valparaíso, Chile (On-site)
- Spin-off with Wildsense, working as a Mid-level Computer Vision Engineer. Applied computer vision to solve diverse aquaculture problems including tracking, segmentation, and classification.
- Used point clouds for size estimation, including filtering, preprocessing, and region-of-interest selection. Generated representative point cloud datasets for iterative model creation.
- Managed and led a 5-person computer vision team.
-
Software EngineerNovember 2022 - December 2022Aikologic Spa · Santiago, Chile (Remote)
- Database management using Python with MySQL.
- Evaluation and deployment of Machine Learning models into operations.
- Evaluation of algorithms for microcontrollers.
-
Computer Vision EngineerApril 2022 - September 2022Universidad Técnica Federico Santa María · Valparaíso, Chile (On-site)
- Fondecyt project (ID: NAM21I0056) on state-of-the-art study and implementation of algorithms for estimating heart rate, respiration, blood pressure, among others, covering Deep Learning techniques and image processing.
- Generation of a specialized dataset for bioindicator evaluation in coordination with hospitals and physicians.
- Managed and led a 3-person team responsible for the computer vision area. Coordinated with the Full Stack team for integration.
-
Trainee Computer Vision EngineerApril 2021 - February 2022Nexar S.A. · Santiago, Chile (Remote)
- Thesis work in computer vision. Captured 3D movements from a short video. Performed user segmentation and video inpainting of the original footage. Imported results into Unreal Engine.
- Study and implementation of 3D Body Tracking, segmentation, and inpainting algorithms. Scripting with Python.
- Unreal Engine management: building Levels with Blueprints, animations, textures, etc.
-
Intern Computer Vision EngineerApril 2021 - September 2021TSF S.A · Santiago, Chile (Remote)
- Support in fruit tree detection using a Deep Learning approach. Generated segmentation data through VIA.
- PyTorch programming of detection models based on Detectron2 (Mask R-CNN).
-
Intern Hardware EngineerApril 2021 - September 2021Wiseconn S.A. · Valparaíso, Chile (Remote)
- Integration of experimental embedded systems with AWS IoT cloud. Integration of WiFi nodes with the company's internal network.
- Connected an XBee 3 Cellular node with an ESP8266 WiFi node to the AWS IoT network.
Education
-
2018 - 2022B.Sc. in Electronic EngineeringUniversidad Técnica Federico Santa María, Main Campus · Valparaíso, ChileCompleted - Thesis: Cloud-based Garment Simulation on Body Dynamics Estimated from Monocular RGB Videos
-
2014 - 2017B.Sc. in Computer ScienceUniversidad Técnica Federico Santa María, Main Campus · Valparaíso, Chile4 of 6 years completed