Deployed Full-Stack Saas Applications with different architecture solutions and technologies through AWS and Private Data Centers (ChainlinkSRM - Messaging Application, SalesPlaybook - An internal Tauri application, ExtractionTool - an internal Format Conversion Tool). Implemented backend APIs using FastAPI and SQLModel/SQLAlchemy/Pydantic with pytest. Designed frontend Sveltekit web applications, with end-to-end tests using vite test, and playwright. Configured our Infrastructure as Code using Terraform, leveraging the AWS platform for distributed and scalable deployments. Devised DevOps Solutions using AWS, and Gitlab for versioned Continuous Integration and Continuous Deployment. Utilized Docker to create team Development, Quality Assurance, and Production environments to improve the developer experience. Incorporated Payment and Subscription services like Auth.net, Stripe, and more. Applied Production Database Migrations for version upgrades and new features added to the application. Incorporated AWS S3 object storage for making media, or assets accessible in a secured application. Attended multiple conferences with our Sales department to assist in driving sales with transparency of the company

Enhanced AI-driven computer vision systems by training machine learning models, optimizing their accuracy and performance to meet the specific needs of company clients. Assisted the data preprocessing, model training, and evaluation of robust machine-learning pipelines. Helped manage the deployment and testing environments using Docker, ensuring efficient containerization of the models. Collaborated with researchers to follow lab instructions for collecting and recording video footage utilized as training data. Worked closely with data scientists and engineers to troubleshoot issues, refine models, and implement improvements

Accelerated implementation of an AI/ML library for the analysis of algorithmic bias, privacy, and explainability using PyTorch. Developed an AI/ML library in PyTorch for analyzing algorithmic biases, privacy, and explainability. Improved model transparency and fairness through advanced statistical methods and neural network interpretability techniques

Compiled Pulmonary Hypertension patient data utilizing Python and Excel for analytical review.Assisted a Fellow in research by conducting regression analytics/predictions on patient databases.Recognized for the quality team and individual work with data visualization from Medical Records.

Assisted Research on applications of Transcranial Magnetic Stimulation (TMS) and named on the following research presentation/posters:Bryant J, Valencia L, McDonald J, Cochran C, and Cochran M. “Which heuristic to use? Plotting the position of the left dorsolateral prefrontal cortex: a comparison of clinical methods.”Evans K, Valencia L, Cochran C, and Cochran M. “Outcomes and feasibility from the first TMS specific web-based intervention.”