• Supplied 6+ applications and Machine Learning models on Google Cloud, increasing the team productivity by 10 %.• Configured Kubernetes clusters for deploying containerized applications across 10+ nodes that saved a total of 300 hours of teamwork.• Initiated a team performance audit that optimized activity by 3%.• Created REST APIs for the integration of 3+ applications within the organization's system architecture that decreased lag time by 8 %.• Collaborated with developer teams from other UMG territories to integrate microservices into bigger apps, optimizing the performance by 16 %.• Integrated AI and ML models into production environments using Flask and other web frameworks, which increased the team's performance by 19%.

• Automated ETL processes in the database to collect and aggregate data from independent sources.• Created automated machine learning pipelines for model training, tuning, and deployment. • Integrated deep learning architectures such as CNNs and RNNs for computer vision and NLP-related projects, resulting in a sales improvement of 6%.• Evaluated accuracy and optimized existing models by tuning hyperparameters, increasing target hit by 43%.• Deployed web applications with Flask and Django to provide interactive access to models and visualizations increasing sales by 15.5%.

-Taught classes with up to 40 student -Perform a person-to-person sections to improve the students understanding of the subject