Sergio Morales
Sales Operations Specialist
Dallas, Texas, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inDeep Learning and Computer Vision Technologies
Sergio Morales is a Sales Operations Specialist with 12 years of cross-functional experience driving sales enablement, forecasting, and deal desk operations across enterprise tech companies in North America, EMEA, and APAC. He has supported complex go-to-market and pricing strategies at Google, Mandiant/FireEye, and D-Wave, blending analytical rigor with hands-on Salesforce and process configuration to accelerate deal velocity and improve customer experience. Known for designing onboarding and training programs, he routinely translates technical system improvements into higher sales productivity and compliance. Fluent in Spanish and experienced negotiating for Latin American markets, he pairs regional business acumen with global program execution. Unusually for a sales ops professional, Sergio contributes to major open-source ML repos—work that reflects a strong backend and DevOps aptitude from projects like TensorFlow Agents, Caffe, and gin-config. He holds a BBA in International Business and consistently combines data-driven insight with pragmatic process improvements to optimize revenue outcomes.
12 years of coding experience
Bachelor of Business Administration - BBA International Business, Bachelor of Business Administration - BBA International Business at The University of Texas at Arlington
Github Skills (28)
c-language10
py10
python10
setuptools10
gpu-programming10
configuration-management10
machine-learning10
reinforcement-learning10
machine-vision10
deeplearning-ai10
deep-learning10
tensorflow10
gpu10
cuda10
computer-vision10
Programming languages (5)
Github contributions (5)
google/gin-config
Mar 2018 - Dec 2020
Gin provides a lightweight configuration framework for Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 3 reviews, 26 commits in 2 years 9 months
Contributions summary:Sergio primarily contributed to the development and maintenance of the Gin-config library. Their work included adding setup configurations, modifying project imports, and updating the versioning system. They also made enhancements by making it easier to bind Macros and integrating new features. Furthermore, the user was responsible for releasing new versions to PyPI and adding tests, demonstrating their involvement in various aspects of the project.
golangpythongintensorflow-experimentsconfiguration-management
tensorflow/agents
Nov 2018 - Nov 2022
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Role in this project:Back-end Developer
Back-end DeveloperContributions:18 reviews, 121 commits, 5 PRs in 4 years
Contributions summary:Sergio primarily focused on modifying and updating the setup and dependency configurations within the project. They added a specific version requirement for `gin-config`, which is a configuration library. Furthermore, they prepared the PyPi package release by modifying versioning and package names to enable the publishing of the library. They also added Double-DQN references and updated example links.
scalabletf-agentsmultiagent-reinforcement-learningtensorflow-librarymulti-armed-bandits
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