Work
I build production AI systems that improve cost, quality, and throughput across banking, startups, and open-source software.
Case studies
Career
Senior AI Engineer
Xseed Solutions
- Building and shipping production GenAI systems for U.S.-based clients.
- Designing retrieval, orchestration, and evaluation pipelines for applied AI products.
- Collaborating remotely with cross-functional teams on end-to-end AI delivery.
Senior AI Engineer
Qive
- Led development of a product search engine over proprietary data in a founder-led startup.
- Reduced RAG indexing time from hours to minutes through data-driven grouping and indexing strategies.
- Achieved 90%+ retrieval recall with 20 candidates instead of 100 using redesigned vector retrieval and Gemini augmentation.
- Conducted technical interviews and mentored developers.
Senior AI Engineer / Data Scientist
C6 Bank
- Built a multi-agent generative AI sales assistant that reduced acquisition cost by 6x.
- Improved a production RAG system to cut inference cost by 90% and raise answer quality.
- Worked across backend, MLOps, data science, sales, and marketing in a 30M+ customer digital bank.
- Developed forecasting and clustering models that improved customer segmentation and campaign targeting.
Data Science Intern
Argilla
- Built the first production-ready embedding-based annotation methods in the Argilla open-source library.
- Translated current NLP research into robust product features and supporting tutorials.
AI Engineer
CEXIA / Deep Learning Brasil
- Delivered enterprise NLP proofs of concept across intent detection, NER, sentiment analysis, entity linking, and early generative chatbots.
- Won first place in ASSIN 2 and ABSAPT with transformer-based systems.
Data Scientist
NeuralMind
- Won COLIEE 2021 Task 2 with a zero-shot legal entailment approach.
Strengths
LLMs RAG Graph RAG Multi-agent systems Tool use Prompt engineering Evaluation LangGraph LangChain LlamaIndex OpenAI API Anthropic API AWS Bedrock n8n Python PyTorch TensorFlow spaCy Hugging Face BigQuery Apache Spark SQL Vector databases AWS GCP Azure Docker Kubernetes Kubeflow MLflow FastAPI