Jose Roberto Da Silva
AI Engineer
8+ years exp
7+ years ML exp
Management: 1-2 years
JavaScript
C#
Python
SQL
TypeScript
Active 2 hours ago
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Overview
Technical skills
Timeline
Roles
Overview
Senior AI Engineer with 8+ years of experience building production machine learning and LLM applications. Works across Python/FastAPI backend development, retrieval-augmented generation, embeddings and semantic search, and workflow orchestration with LangGraph. Also delivers evaluation, fault handling, and observability for reliable inference and retrieval quality in production systems.
Phone
Technical skills
Languages
5
JavaScript
C#
Python
SQL
TypeScript
DevOps
4
AWS
Docker
Rest API
CI/CD
AI/ML
8
NumPy
Scikit-learn
XGBoost
LLM
LangGraph
RAG
Embeddings
Semantic Search
Other
15
FastAPI
Vue.js
.NET
React.js
Kubernetes
LangChain
Agentic Workflows
Structured Outputs
LightGBM
Git
Function Calling
AI Agents
Machine Learning
Prompt Engineering
NLP
Timeline
AI Engineer
·
Middle
Azumo
·
Full-Time
Engineered a production AI workflow assistant with Python and FastAPI, including stateful multi-step LLM orchestration and tool execution. Built LangGraph-based components with typed input/output contracts and structured response validation gates. Added fault-tolerant API integration patterns with retries, timeouts, and idempotency to reduce inconsistent external effects. Implemented automated evaluation and observability to support debugging, regression detection, and reliable deployments.
Python
FastAPI
LangGraph
Agentic Workflows
Function Calling
Structured Outputs
LLM
AI Engineer / LLM Engineer
·
Middle
Accenture
·
Full-Time
Developed an enterprise knowledge retrieval and generative AI platform using retrieval-augmented generation with FastAPI services. Built document ingestion and embedding pipelines, implemented semantic retrieval with metadata constraints, and constructed grounded prompts for consistent answers. Established evaluation procedures using retrieval quality metrics and response faithfulness/citation checks to compare configurations and reduce gaps. Deployed and validated services with Docker and AWS workflows, including regression checks and systematic troubleshooting of retrieval and generation failures.
Python
FastAPI
Embeddings
RAG
Semantic Search
Rest API
Docker
AWS
CI/CD
Software Engineer
·
Middle
Let's Delivery
·
Full-Time
Built production machine learning services for delivery-time estimation using Python, SQL, and supervised regression approaches. Created data preprocessing and feature engineering pipelines with pandas and NumPy, trained and compared models with scikit-learn and XGBoost, and validated performance across operating conditions. Implemented REST-based inference services with request validation, exception handling, health checks, and consistent inference contracts. Diagnosed prediction failures by analyzing inputs, logs, and model artifacts and coordinated fixes across data, inference, and application integration layers.
Python
SQL
Scikit-learn
XGBoost
NumPy
Rest API
Docker
Software Engineer Intern
·
Junior
ADVERSE
·
Full-Time
Developed Python backend functionality for internal business applications, implementing REST endpoints and relational database integrations. Designed and maintained SQL queries and schemas, added unit and integration tests, and helped isolate defects across API, service, and persistence layers. Contributed to .NET backend services and UI features using JavaScript and Vue. Supported deployment preparation, configuration updates, version control, code reviews, and improvements to test coverage and maintainability.
Python
Rest API
SQL
.NET
C#
JavaScript
Vue.js