Daniel F.

Senior ML Engineer | End-to-End Deep Learning and Business Optimization Solutions

Presentation Text (For the field you need to fill):

Looking to transform your data into strategic assets but don't know how to integrate complex models into your daily operations? I help companies and startups bridge the gap between data experimentation and real product value.

My approach goes beyond training models with high accuracy; I design and deploy robust Deep Learning solutions that optimize processes and scale with your business. What sets me apart is my ability to understand business language and translate it into an efficient technical architecture (MLOps), ensuring the model not only works on my computer but in your production environment.

Projects and deliverables I usually manage:

Model Development: Custom Deep Learning Architectures (Computer Vision, NLP, or Forecasting).

Data Pipelines & MLOps: Automation of the data lifecycle, from ingestion to cloud deployment (AWS/GCP/Azure).

Audit and Optimization: Evaluation of existing models to improve their performance and reduce computing costs.

APIs and Microservices: Delivery of models ready to be consumed by your applications using containers (Docker/Kubernetes).