Carlos Timoteo

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Tech Advisor - AI Architect - Consultant

Welbi

May 2025 - Current (1 year 3 months)

○ Architected and implemented an end-to-end GenAI solution using Llama, Vector Search and BigQuery for a major P&C insurer, processing 500K+ annual claims through intelligent automation of claims intake, adjuster note analysis, and damage assessment workflows. ○ Developed advanced RAG pipelines using LangChain, HuggingFace, VLM, fine-tuned BERT models, and layout parsers on insurance-specific documents to achieve 94% accuracy in document classification and entity extraction. ○ Designed a customer profile builder reporting taking multiple sources of information and using Snowflake AISQL Cortex AI_Complete and OCR Parse_document on patient documents and database data democratizing access to knowledge information to the frontline workers.

Solutions Architect - AI & Analytics - Consultant

Google

Dec 2021 - Jul 2025 (3 years 8 months)

○ Architected an AI Agent solution for a leading financial services client, to resolve challenges in secure and efficient data extraction. The solution utilized ADK, Agentspace and NotebookLM capabilities to provide rapid, accurate insights, significantly reducing operational risk and saving time for legal and claims teams. ○ Fine-tuned LLM models using TensorFlow/ JAX/Pytorch, implementing large-scale model training, serving and data preprocessing using GPUs, TPUs, Distributed computing. ○ Designed and built MLOps pipelines and AI-powered solutions by deploying large-scale training and serving pipelines in BigQuery, Vertex AI. Leveraged techniques such as Neural Architecture Search and Hyper-parameter tuning. ○ Identified, wrote, presented

Senior Data Scientist

Searce Inc

Mar 2021 - Dec 2021 (10 months)

Data Scientist

Pythian

May 2018 - Feb 2021 (2 years 10 months)

○ Created and automated feature extraction and engineering methods using Java, Python, Spark, Beam, TensorFlow and SQL, matching data analysis tasks. ○ Managed Continuous software delivery, machine learning repositories and data sets, cloud resources orchestration, runtime platform for machine learning applications using Kubernetes, Docker, Cloud Build, MLFlow, Airflow, Grafana and others MLOps solutions.

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