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Carlos Ezequiel

Hi, I'm Carlos Ezequiel - Machine Learning Engineer at Google

I'm a Machine Learning Engineer deeply passionate about advancing computer vision and reinforcement learning. I thrive on tackling complex AI challenges, turning cutting-edge research into impactful deep learning solutions at Google.

Google
Manhattan, New York, NY, USA
AI insights

At a glance

Curated signals on strengths, focus areas, and how they can help.

Led as CTO for a data analytics company, shaping its technology direction.

Currently developing advanced deep learning models for visual inspection at Google.

Can help others by sharing expertise on transitioning to industry AI roles.

šŸš€ Career trajectory

Academic Foundation

Began career as a university lecturer, sharing knowledge in foundational technical areas.

✦ Education

✦ Teaching

Startup Entrepreneurship & Engineering

Co-founded a tech startup and served as CTO, driving product and technology strategy.

✦ Startup

✦ CTO

✦ Entrepreneurship

Senior Engineering & AI Specialization

Transitioned to Senior Software Engineer roles, focusing on advanced AI, particularly Computer Vision and Reinforcement Learning at Google.

✦ Software Engineering

✦ Machine Learning

✦ Computer Vision

✦ Google

šŸ’ŖšŸ» Superpowers

Pioneering AI Innovation

Driving advancements in machine learning and AI

✦ Published influential tutorials on reinforcement learning methods.

✦ Expertise in Python, TensorFlow, and Google Cloud Platform.

✦ Developing AI-powered applications for novel industry use cases

Bridging Academia and Industry

Translating research into practical, impactful solutions

✦ Experience as a university lecturer, sharing knowledge and fostering learning.

✦ Co-founded a tech startup, bringing innovative ideas to market.

✦ Applied AI expertise to develop industry-specific solutions

Strategic Technology Leadership

Guiding technical strategy and product development

✦ Served as CTO, shaping technology direction for a data analytics company.

✦ Proven ability to lead software engineering teams and projects.

✦ Experience in agile methodologies and software development lifecycle.

I'm excited about

✦ Building AI-powered applications for specific industry use cases

✦ Investigating new techniques AI model training and inference

✦ Connecting with fellow innovators working on software and AI

I can help with

✦ Agentic engineering

✦ "Traditional" machine learning (model development and deployment)

✦ Software development in Python

I would love your help on

✦ Identifying industry-specific use cases for AI agents

✦ Promising research directions for AI

✦ Collaborating with other technologists to develop AI-powered solutions