
Vitor Lopes Nocce
@vitorlopesnocce
I build reliable Azure AI workflows and developer automation using C#, Python, and cloud services.
What I'm looking for
At Microsoft, I improved Azure GPU capacity utilization for asynchronous LLM workloads by productionizing a C# Spot Capacity processing path using Azure OpenAI Batch.
I engineered the end-to-end SpotBatchProcessor across Azure OpenAI Batch, Blob Storage, Service Bus, and CosmosDB, supporting submission, polling, result reconstruction, persistence, cancellation, and restart recovery. The workflow delivered 99.8% availability and reliability.
Previously at DTI Digital, I automated GenAI processes with Python, Streamlit, OpenAI APIs, and Azure services. I also built a FastAPI RAG API for a chatbot platform used across client departments and a documentation generator that reduced manual work by 20%.
I'm completing a Bachelor of Information Systems at PUC Minas and have supported students as an Algorithms and Data Structures teaching assistant. I enjoy solving algorithmic problems, building practical cloud systems, and contributing to AI-driven products.
Experience
Work history, roles, and key accomplishments
Improved Azure GPU capacity utilization for asynchronous LLM workloads by building and productionizing a C# Spot Capacity processing path. Engineered the end-to-end SpotBatchProcessor and delivered 99.8% availability and reliability.
Education
Degrees, certifications, and relevant coursework
Pontifícia Universidade Católica de Minas Gerais
Bachelor of Information Systems, Information Systems
Grade: 8.3/10.0
Bachelor of Information Systems with a CGPA of 8.3/10.0, expected graduation in December 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/NocceVJob categories
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