Emilio Balda
Senior Machine Learning Engineer at Anima
Larnaca, Cyprus
Summary
👤
Senior🎓
Top SchoolEmilio Balda is a Senior Machine Learning Engineer with eight years of experience building backend systems that take ML projects from research to production. With a PhD from RWTH Aachen and a strong background in signal processing and statistics, he combines rigorous research methods with pragmatic engineering using Python, TensorFlow, FastAPI, Docker, Kubernetes and GCP. He has led cross-company efforts to deliver microservice backends and MLOps pipelines—cutting deployment times and enabling multi-client REST API integrations for wearable devices. At Anima he now focuses on LLM strategy, fine-tuning and model accessibility while continuing to contribute to backend feature development. He’s known for rapid, high-quality iteration and has published academic work and co-authored a data analytics book, an uncommon blend of scholarly achievement and production impact.
8 years of coding experience
6 years of employment as a software developer
Master's degree on Science of Communications and Signal Processing Signal Processing and Communications, Master's degree on Science of Communications and Signal Processing Signal Processing and Communications at Technische Universität IlmenauBachelor's degree in Telecommunication Systems Engineering Telecommunications Engineering, Bachelor's degree in Telecommunication Systems Engineering Telecommunications Engineering at University of NavarraDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at RWTH Aachen University
Spanish, English, German
Github Skills (8)
autoencoder7
convex6
libpurple4
deep-learning3
matrix3
tensorflow3
arxiv2
pdf1
Programming languages (2)
Github contributions (5)
ebalda/my-ubuntu-setup
Jan 2020 - Sep 2022
Contributions:16 pushes, 1 branch in 2 years 7 months
ebalda/adversarialconvex
Mar 2018 - Jul 2018
Tensorflow implementation for generating adversarial examples using convex programming
Contributions:14 commits, 18 pushes, 1 branch in 4 months
autoencoderdeep-learningadversarialconvextensorflow
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