Mattheus Chediak

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Principal Robotics Engineer

Realbotix

Dec 2024 - Current (1 year 9 months)

Led the development of advanced humanoid robotics systems, focusing on facial expression control and human-robot interaction. Architected and implemented a sophisticated servo control system managing 15 precision motors for realistic facial animations. Achieved sub-millisecond response times and natural movement patterns through innovative control algorithms. Developed comprehensive robotics solutions including: High-precision servo control system for facial expressions Real-time motion synchronization and coordination Embedded control software for microcontroller framework for Reduced by 90% Created supporting Achieved 99.9% Created Implemented Developed Development Tools: Led the development of Brazil's pioneering Red Hat AI application s

Machine Learning Specialist

Red Hat

Oct 2024 - Dec 2024 (3 months)

Built dashboard system monitoring Spearheaded the development of Brazil's first AI-powered Point of Sale Avatar Totem at Vivo, revolutionizing customer interaction in retail spaces. Architected and implemented an advanced multi-modal AI system processing real-time audio-visual interactions. The system achieved 98% speech recognition accuracy in noisy environments and maintained sub-200ms latency in responses. Developed innovative AI solutions including: Advanced speech recognition system using Whisper for Portuguese and English Real-time natural language understanding with fine-tuned LLaMA Natural voice synthesis using Azure Speech Services Real-time emotion recognition and response adaptation system

Machine Learning Engineer

Vivo (Telefônica Brasil)

Aug 2024 - Sep 2024 (2 months)

Docker, Kubernetes, Redis, RabbitMQ, Prometheus, Grafana, Led groundbreaking research and development in generative AI, pioneering novel architectures that pushed the boundaries of image synthesis quality. Architected and implemented state-of-the-art generative models achieving unprecedented levels of photorealism and creative control. The system demonstrated superior performance across multiple metrics, including FID score (8.2) and user preference studies (92% approval rate). Developed innovative hybrid architectures combining GANs, VAEs, and Transformers, resulting in breakthrough capabilities in controlled image generation. Implemented advanced techniques including: Custom StyleGAN3 architecture with adaptive discriminator augmentation,

Machine Learning Specialist

Pupila Brand Studio

May 2024 - Jul 2024 (3 months)

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Machine Learning Engineer

Bencorp

Jan 2024 - Apr 2024 (4 months)

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Senior Software Engineer

Onyma Digital

Apr 2023 - Dec 2023 (9 months)

Hybrid Implemented AI-driven solutions to streamline Electronic Health Records (EHR) management, enabling data-driven insights for better patient outcomes. Applied NLP techniques to unstructured medical text, improving information retrieval and categorization. Worked closely with stakeholders to integrate solutions seamlessly into healthcare workflows. On-site Led the development of advanced geospatial machine learning solutions at Google for Startups EU, focusing on integrating AI with geographic information systems. Architected and implemented a scalable platform that processed over 500TB of satellite imagery

Machine Learning Engineer

Google

Sep 2022 - Mar 2023 (7 months)

Machine Learning Engineer

Ford Motor Company

Feb 2022 - Aug 2022 (7 months)

Remote Led the development of an advanced AI-driven product analytics platform at Ford, revolutionizing how consumer feedback influences product development. Architected and implemented an end-to-end NLP system that analyzed millions of customer interactions across multiple channels, providing real-time insights for product improvements. The platform achieved 92% accuracy in sentiment analysis and feature extraction, processing over 500,000 feedback items daily. Engineered comprehensive AI solutions including: Advanced NLP pipeline for multi-channel consumer feedback analysis Real-time sentiment analysis and feature extraction system Predictive analytics engine for product improvement prioritization Interactive visualization platform for st

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Software Developer

Kpax Marketing Online Ltd

Jan 2020 - Jan 2022 (2 years 1 month)

Led the development of enterprise-scale web applications and marketing automation systems. Architected and implemented scalable backend solutions processing millions of user interactions daily. Spearheaded the development of an AI-powered failure analysis system that reduced system downtime by 75%. Key technical initiatives included: Microservices architecture for high availability marketing platforms Real-time analytics and reporting systems Automated deployment and monitoring solutions Machine learning-based failure prediction system Key Achievements: Reduced system downtime by 75% through predictive maintenance Improved application performance by 60% through optimization Scaled platform to handle 2M+ daily active users Decreased deployme

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Robotics Engineer

Yukon Labs

Mar 2016 - Dec 2019 (3 years 10 months)

Research in Communication, Media Arts & Technology

Quorum

Aug 2013 - Feb 2015 (1 year 7 months)

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Audio Software Developer

JUCE

Jan 2008 - Jan 2016 (8 years 1 month)

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