HatchWorks

Spearheaded the development of an advanced system utilizing Azure Document Intelligence and Azure ML to meticulously extract information from unstructured US Tax forms, enhancing accuracy and efficiency in data processing. Simultaneously, I am playing a pivotal role in the creation of enterprise chatbot applications powered by GPT-4, showcasing our commitment to integrating state-of-the-art AI to revolutionize user interactions and automate responses.

Senior Machine Learning Engineer

Led the training and deployment of advanced classification and object detection models for a high-profile project within the gaming industry, incorporating cutting-edge OCR capabilities through Tesseract and Azure Computer Vision API. Utilized TensorFlow as the primary framework for model development. Engineered a robust backend architecture using FastAPI for efficient API management and Kafka for reliable stream messaging, ensuring seamless data flow and scalability. Successfully executed the deployment on Azure Kubernetes Service, delivering a scalable, high-performance solution.

Machine Learning Engineer

IT-NOVA

Provided consultancy to both external and internal clients on the development and deployment of machine learning models and advanced data analytics strategies. Played a pivotal role in empowering retail industry enterprises by designing and implementing sophisticated models such as recommendation systems, market basket analysis, client segmentation, and price optimization. Utilized a toolkit of classic Python packages, including Scikit-Learn, XGBoost, and LightGBM, to develop these models. Led the deployment processes through TIBCO Data Science and TIBCO Spotfire Server, ensuring seamless integration and operational excellence

Consultor en Ciencia de Datos

Logiseguridad Ltda

Participated in the development and deployment of innovative technological solutions within the logistics security sector, leveraging advanced time series processing and machine learning techniques like Hidden Markov Models and Feed-Forward Neural Netowkrs. Specialized in analyzing vast datasets encompassing images, audio, and video to enhance security measures and operational efficiency.

Ingeniero de desarrollo e investigación

As a seasoned professional in the fields of AI and Data Science , I bring a wealth of expertise in developing and deploying machine learning algorithms, underscored by a strong command of the MLOps approach and Microservices. My career is distinguished by substantial experience in Computer Vision, Machine Learning, Azure Cloud, and state of the art Deep Learning Architectures. I´m a livelong learner and enjoy being on the edge of technology. 🚀

I believe in the power of knowledge to drive innovation and deliver impactful solutions, and this belief fuels my professional endeavors.

Dive into the world of multimodal AI with Oscar Romero on May 17.

Learn how to build and fine-tune models that understand multiple data types, opening up new possibilities in your AI applications.

Start creating more sophisticated AI solutions today.
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David Berrio

Senior ML/AI engineer | Pioneering AI innovations for Real-World applications | Passionate about music and racing

Want to learn some cool AI stuff to speed up your development process? Don't miss this in a few minutes! 👇

Join Jerrik Arango and Matt Paige at 12 PM EDT to learn how Gen AI can expedite your journey from idea to MVP.

It's your last opportunity to gain insights that could revolutionize your development process.

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Very interesting point of view, and from my experience in the industry very accurate

Augmented AI | Advisor | Author | Speaker - Innovate and grow your B2B with AI, without the tech overwhelm. Featured on CNBC. New 📕 "Augmented Analytics" (O’Reilly) incoming

SpaceX does not use AI. 
Starlink does not use AI. 
Elon Musk confirmed two days ago what I've thought for a while.

Just because you're in a high-tech industry doesn't mean you're a pioneer in AI. 

There's this wrong belief that AI is something for tech companies. That you must be at the pinnacle of technical excellence to "be ready" to use AI.

In fact, the opposite is often true.

Industries where AI adoption has stalled:
- Smart manufacturing / Industry 4.0
- Mobility / autonomous driving
- Space exploration / satcom

In contrast:

Industries where AI adoption is making waves:
- Banking and finance
- Sales & marketing
- Customer service
- Legal consulting 

See a pattern?

It's the "boring" industries that are driving AI adoption.

Seems like being 'low-tech' has suddenly turned into an advantage.

So stop thinking you're not ready for AI because you're not "tech" enough.

The time to outshine your competitors is now.

Taplio

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