Sergio Cespedes - Cloud Architect | Computer Vision | R&D

Sergio Cespedes

MSc Candidate in Machine Learning | Cloud Architect | Computer Vision R&D

☁️ AWS Certified 🤖 Machine Learning ⚙️ Data Pipelines & Workflows

Areas of Expertise

AI-Driven Creative Solutions

Developing generative AI tools and workflows that bridge technology and creative storytelling for next-generation media production.

Comfyui Generative AI Automation

Cloud Infrastructure & ML

Building scalable cloud systems optimized for machine learning workloads and computational data in pipelines.

AWS Docker Cloud GPU

R&D Technology Integration

Exploration and integration of state‑of‑the‑art computer vision-language techniques, from image processing to deep learning architectures, enabling robust solutions for real‑world applications.

R&D Pytorch Deep Learning

Professional Experience

Pipeline TD

Atom Studios Aug 2023 - Present
Current Position

Building studio pipeline, implementing local rendering system with Deadline and developing cloud system for machine learning tasks.

Deadline Cloud Pipeline Development Machine Learning

VFX Digital Compositor

Elemental Jan 2023 - Jul 2023

Developed image processing pipelines for high-end visual content, managing large-scale data workflows in collaborative environments. This experience laid the foundation for my current work in computer vision and ML-based automation.

Nuke Compositing Amazon Prime

Creative Tech Lead – Marketing & Media Automation

Feedback Studio Dec 2019 - Aug 2022

Led end-to-end digital campaigns, including video editing, graphic design, scriptwriting, and targeted publishing via Facebook Ads. Implemented audience segmentation and built automated chatbots for customer engagement, streamlining workflows and boosting conversion

Marketing Multimedia Advertising

About Me

Sergio Cespedes - Cloud Architect | Technical Director | R&D
Available for Projects

As an AI Solutions Architect, I design and implement end-to-end pipelines that connect cloud infrastructure, machine learning, and computer vision to real-world production environments. My expertise spans from building scalable hybrid systems for GPU-intensive workflows to transforming academic research into reproducible, production-ready solutions. With experience developing image processing pipelines for Netflix and Amazon Prime productions. My focus is on enabling teams to harness automation, cloud scalability, and advanced ML to deliver innovation at global standards.

Data Pipeline

Expert Level

Cloud Architecture

AWS Certified

Professional Certifications

Cloud Solutions Architect

AWS Certified

Verificar

Machine Learning

Stanford University

Verificar

Data Science & ML

Harvard University

Verify

Contact

Interested in working together?

Let’s Talk