Senior Full Stack Engineer at NVIDIA building scalable platforms, cloud-native systems, and AI-powered developer experiences.
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I’m a software engineer originally from Argentina and now based in the United States. I’ve built products and platforms for NVIDIA, Apple, Nike, SumUp, American Airlines, and growth-stage technology companies.
My work spans backend engineering, cloud architecture, distributed systems, developer tooling, data platforms, and applied AI. I enjoy turning complicated operational problems into dependable products that are easy to use and easier to maintain.
I’m strongest where product thinking meets deep implementation: designing APIs, shaping architecture, improving delivery pipelines, and helping engineering teams move with clarity.
A practical stack for shipping resilient services, modern interfaces, and production AI systems.
From data visualization and cloud engineering to technical leadership and AI-enabled platform development.
Building scalable internal platforms and AI-assisted engineering workflows for complex infrastructure and operational data.
Focus: Python, FastAPI, PostgreSQL, Redis, Docker, Kubernetes, GCP, LLM systems, RAG, CI/CD
Spearheaded end-to-end development of high-performance APIs, new product capabilities, engineering mentorship, and robust delivery pipelines.
Stack: Node.js, React, PostgreSQL, Redis, RabbitMQ, CouchDB, Docker, Elasticsearch, OpenAI API
Enhanced customer engagement through high-performance microservices, real-time data pipelines, and platform modernization.
Stack: Python, Django, FastAPI, PostgreSQL, Redis, DynamoDB, Kafka, TypeScript, React, Kubernetes, Terraform
Enhanced application security, led a critical database migration, and implemented automated testing strategies.
Stack: Python, Flask, Cassandra, PostgreSQL, Kafka, Kubernetes, Terraform, Docker, GitHub Actions
Developed ETL backend services, defined architecture standards, and mentored engineers in a data analytics and cloud-security environment.
Stack: Python, Flask, MySQL, DynamoDB, AWS, ECS, Docker, Lambda, SQS, Google APIs, Jenkins
Delivered high-performance microservices in Kubernetes, built serverless systems, and improved infrastructure for data science teams.
Stack: Python, Node.js, Next.js, Flask, DynamoDB, AWS, NATS, Kubernetes, Docker, Helm, Terraform
Improved application performance, mentored developers, and established stronger engineering and delivery standards.
Stack: Python, MySQL, JavaScript, ETQ Platform, TFS, Jenkins
Created custom dashboards, data visualizations, and a recommendation engine to improve marketing effectiveness.
Stack: Python, Flask, D3.js, Pandas, NumPy
Projects that combine product thinking, backend systems, applied machine learning, and useful interfaces.
A natural-language query service that converts human requests into structured SQL workflows using LLMs and cloud services.
A machine-learning system using behavioral data to improve campaign targeting, relevance, and engagement.
A predictive model designed to identify risky sharing patterns and security concerns in cloud collaboration data.
Connect with me for engineering, platform, cloud, AI, or technical leadership conversations.