Arturo Rosas

Built AI-powered multi-tenant legal and educational SaaS platforms integrating speech-to-text, RAG pipelines, and photorealistic avatars, delivering production-ready ML pipelines and ensuring secure, compliant deployments for enterprise clients.

Architected multi-cloud AI/analytics solutions and built legal SaaS products on Salesforce with AWS/Azure/GCP integrations, optimizing costs and deploying ML pipelines with MLOps practices for production use.

Led Financial Services Cloud migration and built SageMaker-hosted fraud detection and credit risk models, designed event-driven architectures and data lakehouse solutions while ensuring PCI-DSS and SOC 2 compliance.

Led Salesforce development teams and designed microservices integrating Salesforce with AWS (Lambda, SQS, SNS), implementing real-time streaming and reusable integration frameworks that reduced development time by 40%.

Built enterprise Salesforce solutions with Azure integrations, creating custom APIs and Azure Logic Apps workflows to automate document processing and improve Salesforce performance by 60%.

Developed Salesforce applications and HIPAA-compliant medical records integrations, implemented AWS Lambda functions and ETL strategies to migrate legacy systems to cloud-enabled Salesforce platforms.

Developed Salesforce components and basic AWS Lambda integrations, executed data migrations and supported implementation of enterprise Salesforce solutions under senior guidance.

Activities and societies: Hands-on projects in full-stack development, cloud architecture (AWS/Azure/GCP), ML pipeline implementation, and legal-tech integrations.

Completed intensive, project-based self-study in software development, cloud platforms, and AI/ML integration through hands-on projects and client work.

Activities and societies: Practical labs and projects involving AWS Lambda, EC2, RDS, S3, IAM, and serverless architectures.

Completed AWS-focused coursework and practical training covering cloud architecture, core AWS services, and infrastructure best practices.

Activities and societies: Labs and projects integrating Azure OpenAI, Cognitive Services, Functions, and Azure ML into production workflows.

Undertook Azure training focused on AI services, Azure ML, Cognitive Services, and cloud-native integration patterns.

Activities and societies: Training projects using BigQuery, Cloud Functions, Vertex AI, and data pipeline tooling.

Completed GCP training emphasizing data analytics and Vertex AI for model training, deployment, and scalable data pipelines.

Activities and societies: Developed production web applications, UI/UX improvements, and responsive interfaces with performance optimizations.

Practical full-stack development training focused on React, Next.js, Node.js, and TypeScript for building scalable web applications.