Marcelo Díaz
Machine Learning Engineer
As a Machine Learning Engineer with 9 years of experience, I combine strong technical skills with creative problem-solving. My career in software engineering is fueled by a passion for innovation, developing cutting-edge software solutions that push boundaries.
Throughout my journey, I’ve achieved significant milestones: from co-founding LEXIUS as the CTO and growing its user base from 0 to over 80,000, to leading AI projects at ReachOut.AI. Each role highlights my ability to turn complex technical ideas into real business results. My work is focused on advancing industries through technology—whether transforming the global legal field with LEXIUS or reshaping marketing with AI tools like ReachOut.AI.
- Address
- Caracas, Venezuela
Experience
Embark on a journey through my professional landscape, where each role narrates a story of innovation, leadership, and technological prowess.
Co-founder and CTO
LEXIUS
I am on a mission to revolutionize the law industry with the most advanced legal software ever. As the CTO and Co-founder, I’ve handled the full-stack development of every piece of the system and the company’s growth strategy from 0 users to 80,000+.
Website: https://lexius.io/
Top Rated AI Freelancer
Upwork
As a Top Rated AI Freelancer on Upwork, I established a sterling reputation for delivering high-quality Deep Learning and software solutions to a global clientele. My commitment to excellence and innovation in each project not only garnered excellent reviews but also earned me the ‘Top Rated’ badge, a recognition reserved for the top 10% of professionals on the platform. This accolade reflects my consistent performance, expertise in AI and software development, and unwavering dedication to client satisfaction.
CTO
ReachOut.AI
Our CORE mission and purpose is to help A MILLION businesses ramp up revenue through the power of hyper-personalization and artificial intelligence.
I manage the development of advanced deep-learning algorithms that power our hyper-personalization capabilities, oversee our cloud infrastructure, supervise backend development, and introduce groundbreaking artificial intelligence features that establish new industry standards.
My responsibilities encompass developing intricate deep learning algorithms, managing large-scale cloud infrastructure, and overseeing backend development.
Website: https://6s.media/ and https://reachout.ai/
Python Developer
Ardent Peak
At Ardent Peak, a renowned digital creative consultancy, I honed my skills as a Python expert, delivering bespoke software solutions for high-profile enterprise clients such as Obsess, a company recognized in Crunchbase for its innovative approach. My role involved building the backend of state-of-the-art websites. My tenure here was marked by a deep engagement in a variety of projects, where I applied my technical expertise to transform client visions into reality, thereby enhancing their digital presence and operational efficiency.
Website: https://ardentpeak.com
Professional Skills
I bring a wide range of skills built through years of focused practice and learning in machine learning and software engineering. My expertise spans various programming languages, advanced machine learning techniques, and full-stack development, enabling me to approach every project with a well-rounded perspective. I am proficient in Python, JavaScript, and C, as well as tools like TensorFlow and PyTorch, with a strong foundation in cloud platforms such as AWS. I also have extensive experience serving deep learning models that are used by thousands.
In addition to these core skills, I specialize in cutting-edge technologies like Generative AI, LLM fine-tuning, Blockchain, and state-of-the-art deep learning architectures. This expertise allows me to consistently deliver innovative and reliable solutions tailored to complex challenges, ensuring impactful results for every project I take on.
Education
Systems Engineering Degree
Universidad Bicentenaria de Aragua
In my pursuit of a Systems Engineering degree at Universidad Bicentenaria de Aragua, a Venezuelan university. I am being trained to become a multifaceted professional with transformational competencies in various technological domains.
Machine Learning Course
Stanford University
In this course, I built & trained supervised models for prediction & binary classification tasks (linear, logistic regression) using MATLAB. Also, I learned the mathematical foundations of AI.
Computer Vision Nanodegree
Udacity
In this advanced course, I immersed myself in the dynamic field of computer vision and deep learning. Starting with the fundamentals of image processing, I progressively mastered the art of building and customizing convolutional neural networks. A significant focus of my study involved applying these techniques to complex vision tasks, including automatic image captioning and object tracking and localization.
Deep Learning Specialization
deeplearning.ai
I completed five courses detailing the foundations of Deep Learning.
Topics covered:
– Understanding how to build neural networks.
– How to lead successful machine learning projects.
– Convolutional Neural Networks.
– Recurrent Neural Networks.
– Deep Learning Optimization techniques such as Adam, Dropout and BatchNorm.
Case studies covered:
– Deep Learning in healthcare.
– Deep Learning for autonomous driving.
– Sign language recognition.
– Music generation with Deep Learning.
– Natural language processing.
Deep Learning Nanodegree
Udacity
In this comprehensive learning program, I delved deeply into the world of neural networks, gaining expertise in their implementation with PyTorch, a leading deep learning framework. My journey encompassed building convolutional neural networks for sophisticated image recognition tasks, and mastering recurrent networks for generating sequences with high accuracy. A significant part of the course was dedicated to exploring and constructing generative adversarial networks, unlocking new possibilities in image generation.
Other courses
- 2023: Work Smarter, Not Harder: Time Management for Personal & Professional Productivity. Taught by University of California, Irvine on Coursera. See certificate.
- 2022: C1 English – Centro Venezolano Americano. See certificate.
- 2019: Understanding and Visualizing Data with Python. Taught by University of Michigan on Coursera. See certificate.
- 2019: CS50’s Introduction to Computer Science. Taught by Harvard University on EdX. See certificate.
- 2018: Introduction to Web Development. Taught by University of California, Davis on Coursera. See certificate.
Contact me
- Caracas, Venezuela
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[email protected]
[email protected] - Marcelo Enrique Díaz Cabral