Summary
Andrés Talero is a Machine Learning Engineer with nine years of industry experience and a Columbia M.S. in Computer Science, specializing in taking applied ML projects from concept to production across startups and large tech companies. He has deep hands-on expertise in computer vision, multimodal transformers, metric learning, and practical model optimization—having managed million-image labeling efforts and deployed models with K8s, Docker, and TensorRT. At Snap he advanced visual retrieval and multimodal ad ranking through transformer-based signals and LLM fine-tuning, and he now continues this trajectory at Spotify. Comfortable bridging research and engineering, Andrés pairs rigorous evaluation and A/B testing with infra and cost-conscious dataset design. He’s also contributed to consumer-facing shopping features (e.g., Screenshop/Snap visual commerce) and maintains an active GitHub presence.
9 years of coding experience
4 years of employment as a software developer
Certificate Web Development, Certificate Web Development at freeCodeCamp
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Bachelor of Science (BS) Geological Science and Computer Science, Bachelor of Science (BS) Geological Science and Computer Science at University of Miami
The Chinese University of Hong Kong (CUHK)
English, Spanish, Chinese, French