Leading development of HIPAA-compliant AI reasoning platform for dermatological diagnostics and healthcare applications Delivered enterprise-ready HIPAA-compliant AI platform for dermatological diagnostics, enabling healthcare providers to offer advanced AI-powered diagnostics to patients while maintaining complete PHI protection Architected scalable multi-tenant system with domain isolation that supports multiple healthcare providers simultaneously, each with customizable branding and security controls Created secure patient experience allowing seamless sharing of medical images with AI analysis through pre-signed URLs and server-side encryption, improving the diagnostic workflow Implemented comprehensive security framework with pseudonymous identifiers and encrypted PHI storage, enabling partners to confidently meet stringent healthcare compliance requirements Main Technologies: Python, Django, PostgreSQL, AWS (ECS, RDS, KMS, S3), Docker, Terraform, TypeScrip

Leading development of HIPAA-compliant AI reasoning platform for dermatological diagnostics and healthcare applications. Delivered enterprise-ready HIPAA-compliant AI platform for dermatological diagnostics. Architected scalable multi-tenant system with domain isolation. Created secure patient experience for medical images. Implemented security framework with pseudonymous identifiers.

Lead Data Engineer | Cloud Architecture & Enterprise Systems Migration Spearheading digital transformation for Fortune 500 companies through strategic data infrastructure modernization. Expert in cloud migration and data pipeline optimization, delivering scalable solutions for enterprise clients including Nike. 🔧 Technical Leadership • Lead architect for AWS to GCP migration initiatives • Expert in modernizing legacy Java systems to Python-based solutions • Design of enterprise-scale data architectures and pipelines • Implementation of MLOps practices using VertexAI 🚀 Key Achievements • Successfully migrated 100TB+ of enterprise data to GCP • Reduced data processing costs by 45% through optimization • Achieved 99.99% data pipeline reliability • Decreased time-to-insight by 60% for analytics teams 💡 Core Expertise • Cloud Platforms: GCP (BigQuery, Pub/Sub, Cloud Storage), AWS • Data Engineering: Python • MLOps: VertexAI • DevOps: CI/CD, Terraform, Docker, Kubernetes • Data Warehousing: Enterprise-scale solutions 🎯 Impact Delivered • Led end-to-end cloud migration for Fortune 500 retail client • Implemented real-time data processing reducing latency by 75% • Designed scalable data warehouse serving 1000+ daily users • Automated ML model deployment reducing cycle time by 50% • Established data quality frameworks improving accuracy by 40% • Leading cloud migration and modernization for Brandwatch's enterprise social analytics platform Architected migration of 100TB+ data from AWS to GCP, reducing costs by 45% Implemented multi-source data ingestion system for social media platforms Achieved 99.99% pipeline reliability with real-time analytics processing Technologies: Python, GCP (BigQuery, Pub/Sub, Dataflow, GCS), Docker, Terraform, VertexAI, AWS, Azure. Skills: Bash • Microservicios • GitHub • Github actions • Despliegue de producción • Kubernetes • Google BigQuery • Microsoft Azure • Amazon Web Services (AWS) • Terraform • fast api • Google Cloud • PostgreSQL • Docker • Git • Django REST framework • Linux • Django • SQL • Python

Software Developer | Python Solutions Specialist Driving innovation through high-performance software solutions and process automation. Expert in developing enterprise applications with focus on efficiency, scalability, and business process optimization. 🔧 Technical Leadership • Lead developer for business-critical automation systems • Expert in Python ecosystem with focus on web and desktop applications • Design and implementation of custom software solutions • Cross-functional team collaboration and agile methodologies 🚀 Key Projects & Impact CargoBot (Logistics & Security) • Led development of enterprise security and logistics automation platform • Improved operational efficiency resulting in significant cost reduction • Implemented real-time monitoring and automated reporting • Stack: Python, Django, JavaScript, Cloud Technologies 💡 Technical Expertise • Backend: Python, Django, RESTful APIs • Frontend: JavaScript, Modern Web Technologies • Cloud: CI/CD, Cloud Deployment, Containerization • Process: Agile Methodologies, System Analysis • Tools: Git, Docker, Testing Frameworks 🎯 Key Achievements • Reduced manual processing time by 60% through automation • Improved system reliability to 99.9% uptime • Successfully delivered solutions for enterprise clients • Optimized existing systems for better performance • Led cross-functional teams in agile environments • FCE-Connector (Enterprise Tools) Implemented DevOps transformation reducing deployment time by 70% Technologies: Azure DevOps, Linux, Terraform, AWS, GCP, K8s. • CargoBot - Aerospace Operations Platform Led development of security and logistics automation platform Reduced manual processing time by 60% through automation Technologies: Django, AWS, Azure, GCP, Docker, K8s, Linux.