Leonardo Heredia

I lead end-to-end Generative AI platforms at scale, combining deep technical expertise with global team leadership and cloud cost optimization (FinOps).

Senior Data Science Manager with 20+ years in software engineering and 8+ years leading AI, Big Data, and MLOps initiatives at global scale.

I specialize in end-to-end Generative AI systems, taking solutions from experimentation to production using LLMs, RAG architectures, and scalable cloud platforms.

Currently leading distributed teams (10–20 engineers) across the US, Brazil, India, Taiwan, and China, including both internal teams and external vendors. I have strong experience in hiring, performance evaluation, and scaling teams, as well as aligning execution across multiple time zones.

My core strengths combine:

● Deep technical expertise (AWS, Databricks, MLOps, GenAI)
● Leadership of global distributed teams
● Cloud cost optimization (FinOps)
● End-to-end ownership of AI platforms

I’ve led innovation initiatives resulting in granted patents in AI-based predictive systems, applied to large-scale device telemetry and production environments.

I also bring a strong academic foundation as a university professor in Algorithms and Data Structures, with participation in research projects in computer science.

Positioned to grow into new roles, with increasing scope in AI strategy, architecture, and organizational leadership.