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Allen

Vision AI Engineer - Intern

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Lima, Provincia de Lima, Perú
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Competencies

YOLOv8

Experiencia demostrada en YOLOv8.

ONNX

Experiencia demostrada en ONNX.

OpenCV

Experiencia demostrada en OpenCV.

DeepLab

Experiencia demostrada en DeepLab.

SAM 3-assisted auto-labeling

Experiencia demostrada en SAM 3-assisted auto-labeling.

Education

B.S. Mechatronics Engineering
Universidad Peruana de Ciencias Aplicadas (UPC)
Completado 2025

Languages

EnglishAdvanced B2 (TOEFL ITP)

Summary

Vision AI Engineer - Intern buscando nuevas oportunidades

Experience

Robotics Center of Excellence Associate — Computer Vision & Robotics

Zoluxiones S.A.C. (Zox Robotics)
Abr 2026 - Presente

Built and deployed a human-in-the-loop PPE detection system for industrial safety: trained YOLOv8s (mAP50 ~0.953, 7 classes), exported to ONNX, running live inference on an Intel RealSense D435i; dashboard requires human confirmation before an evidence photo counts as a flagged violation, with full shift/session tracking.. Designed ZoxiVision QC, a full-stack CV inspection system (React + FastAPI + SQLite + WebSocket): built the dataset capture tool, trained a 7-class YOLOv8 model (mAP50 ~0.928) via Roboflow, and iterated the human-review workflow — lot-based registration, grouped evidence photos with bounding boxes, bulk approve/reject — directly from operator feedback.. Currently building SAM3 Studio, an internal auto-labeling tool: upload photos or video, prompt what to label, extract frames or track objects across a video, then export the labels to train YOLO — the same data-engine problem this role is built around.. Integrating a Deep Robotics quadruped robot with a Jetson Xavier NX; developing on-device AI inference nodes for perception and autonomous behavior on real production hardware, not a toy dataset.. Designed a 4-station Industry 4.0 IoT demo lab (ESP32 + MQTT + Node-RED + InfluxDB + Grafana) for production-monitoring demos.. Maintains internal GitLab repositories; collaborates asynchronously in English with cross-functional, international teams.

Autonomous UGV for Coffee Rust Detection — Thesis Project

Universidad Peruana de Ciencias Aplicadas (UPC)
Ene 2018 - Oct 2025

Integrated YOLOv8 + DeepLab + a custom CNN for leaf-disease detection on a ground robot operating in real coffee crop fields; validated model outputs under real field conditions and iterated on failure cases — the same ambiguous-case judgment work this role calls for.. Deployed on Jetson Orin (Ubuntu); implemented the SLAM pipeline and configured the ROS2 Nav2 stack (costmaps, path planners, trajectory execution) for autonomous crop-row navigation.. Fused camera, IMU, and depth data for robust localization; managed all software in C++ and Python with reproducible test logs and documented design decisions.

Maintenance Engineer — Industrial Sector

DC SRL
Oct 2025 - Mar 2026

Performed systematic root-cause analysis on electromechanical failures; maintained technical records with full traceability.

Design & Installation Technician

Orvak Elevadores
Dic 2024 - Mar 2025

Programmed VFDs and performed electromechanical installations; validated technical drawings against specifications and documented configurations for team replication.

Skills

YOLOv8ONNXOpenCVDeepLabSAM 3-assisted auto-labeling
Published on CazVid - Sep 5, 2026
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