Abraham Lazaro is a Senior Software Engineer with 7 years of experience specializing in MLOps, backend development in Golang and Python, and productionizing LLM-driven personalization and search systems. He has built high-availability microservices, CI/CD pipelines, and real-time inference infrastructure across cloud platforms (AWS, OCI, Azure, GCP) while optimizing recommender performance at scale. His background in Computer Engineering from UNAM and leadership roles in student AI organizations reflect both technical depth and community-oriented initiative. Abraham blends hands-on engineering (Kafka, Airflow, Docker, PyTorch/TensorFlow) with a clear focus on social impact, applying ML to improve outcomes for vulnerable communities in Mexico and Latin America. Notably, he has experience collaborating with Google teams on Genkit AI platform integrations and balancing rapid feature delivery with robust observability and reliability practices.
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