Maximiliano Schulkin
About Maximiliano Schulkin
Maximiliano Schulkin is a Senior Software Engineer with extensive experience in software development and engineering roles across multiple countries. He has worked at various companies, including ASAPP and CustomerOS, where he has contributed to significant projects involving Large Language Models and real-time systems.
Work at CustomerOS
Maximiliano Schulkin currently serves as a Senior Software Engineer at CustomerOS, a company that is part of Y Combinator's Summer 2022 batch. He has been with the organization for approximately 10 months, working remotely from Spain. During his tenure, he has pioneered a data enrichment process utilizing Large Language Models (LLM), which has significantly enhanced data quality and insights for internal customer profiling. Additionally, he developed an in-app notification system using Go and Postmark, facilitating streamlined communications between the system and users.
Previous Experience in Software Engineering
Before joining CustomerOS, Maximiliano Schulkin held various software engineering roles. He worked as a Senior Software Engineer at Mystic for six months in Bath, England, and as a Senior Software Engineer at Delivery Hero for 11 months in Germany. His experience also includes positions as a Full Stack Engineer at ASAPP and AppDirect, where he contributed to various projects in Buenos Aires, Argentina. His role at ASAPP involved both research and full-stack development, showcasing his versatility in software engineering.
Education and Expertise
Maximiliano Schulkin holds two Licentiate degrees from the University of Buenos Aires. He studied Computer Science from 2016 to 2021, and Physics from 2012 to 2019. His educational background provides a strong foundation in both theoretical and practical aspects of technology and science, which he applies in his engineering roles. His expertise includes deploying Large Language Models on AWS Sagemaker, building supporting infrastructure using Go, and implementing asynchronous worker systems using Temporal IO.
Technical Contributions and Projects
Throughout his career, Maximiliano Schulkin has made significant technical contributions. At CustomerOS, he implemented an asynchronous worker system using Temporal IO and their Go SDK, optimizing long-lived workflows for better resource management. He also created a knowledge graph for machine learning models using Neo4J, which improved interpretability and synergy among models. Additionally, he launched a real-time backend system for live user collaboration using Phoenix/Elixir, enhancing user experience and engagement.