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With more than a decade of experience in machine learning and artificial intelligence, I'm confident I can help you to build your project. Throughout the years I have used a range of tools and technologies like: Python, C++, C#, PyTorch, LangChain, FastAPI, ReactJS, NextJS, ThreeJS, Open3D, QT, among others. Please, reach out to me and let's discuss more about your project. :)…

Guilherme Schvarcz Franco

Data Scientist, AI Engineer, Cloud Developer, +2

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With more than a decade of experience in machine learning and artificial intelligence, I'm confident I can help you to build your project. Throughout the years I have used a range of tools and technologies like: Python, C++, C#, PyTorch, LangChain, FastAPI, ReactJS, NextJS, ThreeJS, Open3D, QT, among others. Please, reach out to me and let's discuss more about your project. :)…

Available to hire

With more than a decade of experience in machine learning and artificial intelligence, I’m confident I can help you to build your project.

Throughout the years I have used a range of tools and technologies like: Python, C++, C#, PyTorch, LangChain, FastAPI, ReactJS, NextJS, ThreeJS, Open3D, QT, among others.

Please, reach out to me and let’s discuss more about your project. :)

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Portuguese

Fluent

French

Advanced

Italian

Intermediate

Work Experience

Senior Software Engineer at Consulting

January 1, 2024 - Present

Design computer vision pipelines for road markings detection and segmentation for a geospatial mobile capturing company (PyTorch Lightning); developed AI PoC for embeddings classification with few-shot learning and a web-based viewer (JS, Python, ThreeJS, Open3D, PDAL, LAS); deploy production data pipelines; migrated hedge fund ETL stack to a serverless AWS/Kubernetes/Airflow setup; improved Lambda/Step Functions during the migration; restructured AWS RDS PostgreSQL with indexing and partitioning; exposed optimized queries via a gRPC API for quantitative research and live trading.

Lead Machine Learning Engineer at DeBeers - Tracr

December 31, 2024 - October 17, 2025

Planned and interfaced system integrations with global partners across the diamond supply chain; researched and deployed ML approaches based on image reconstruction techniques (NeRF) and Graph Theory to trace diamonds; validated worldwide diamond transactions on DeBeers' blockchain big data; backend hosted on AWS EKS and S3 with REST APIs and queue system applications (SQS & Celery).

Adv. Software Engineer at Zebra Technologies

December 31, 2023 - October 17, 2025

Deployed and optimised CV models on PyTorch, TensorRT, Triton and OpenVINO to provide ML capabilities (product Search, Recommendation, Recognition) with vector stores (FAISS & ScaNN); designed and deployed cloud-based solutions on GCP (C++ & Python).

R&D Machine Learning Engineer at UAVIA

December 31, 2021 - October 17, 2025

Provided ML models for a fleet of drones with embedded and GCP cloud-based capabilities for object detection, tracking, flight planning and navigation; designed MLOps production pipelines; conducted SOTA research and deployment of EfficientNet & YOLO with TensorFlow on drone data; built and deployed data pipelines from IoT network (Yocto) using C++.

Lead Machine Learning Engineer at UpStride

December 31, 2020 - October 17, 2025

Built an innovative ML paradigm based on Geometric Algebra for DL with real-world automotive use cases; developed a new AI engine from scratch with C++, CUDA and OpenMP to speed up learning performance and accuracy; validated CNNs and RNNs (ResNet, U-Net, LinkNet, MobileNet).

Co-Founder & Full Stack Developer at Enovative Design & Tecnologia

December 31, 2013 - October 17, 2025

Developed several projects using web, computer vision and graphics (C++ & PHP).

Research Technician Engineer (DTI-B) - Data Analyst at UFRGS

December 31, 2015 - October 17, 2025

Assisted ecology researches to monitor and analyse vegetation and animal life; developed a web-based GIS system to publish and centralise geographical data collected during field activities.

Undergraduate Research Assistant at National Institute of Spatial Research

December 31, 2012 - October 17, 2025

Researched computer vision techniques to detect and track severe weather conditions using satellite images; contributed to remote sensing analyses of Amazon vegetation; implemented image processing for vegetation index monitoring.