Jamie Cook
AI Engineer
9+ years ML exp
Python
SQL
Active 3 days ago
Invite to interview
Message
Download CVCV
Overview
Technical skills
Timeline
Roles
Overview
Senior AI Engineer focused on production-grade LLM applications, agentic workflows, and RAG-based semantic retrieval. Has built MCP-enabled tool orchestration and multimodal image-to-product retrieval systems, and optimized inference performance with ONNX and quantization. Previously delivered ML systems for routing, recommendations, and NLP tasks including translation, NER, and sentiment analysis.
Technical skills
Python
SQL
Python
FastAPI
Databases
Databricks
FAISS
Pinecone
ElasticSearch• 3y+
AI/ML
AWS Bedrock
Claude
Computer Vision
Contrastive Learning
LangGraph
LightGBM
MLFlow
Multimodal AI
NLP
Prompt Engineering
PyTorch
RLHF
Scikit-learn
XGBoost
ChatGPT
Spark
NER• 9y+
Sentiment Analysis• 9y+
TensorFlow• 9y+
BERT• 8y+
Transformers• 8y+
ONNX• 6y+
Semantic Search• 6y+
CLIP• 3y+
Embeddings• 3y+
Quantization• 3y+
RAG• 3y+
Model Context Protocol
Fine-tuning
LangChain
LLM
DevOps
Amazon EC2
AWS
Azure
Docker
Rest API
Vector
Timeline
Senior AI Engineer
•
Senior
Chewy
•
Full-Time
Owned the design, deployment, evaluation, and production monitoring of a large-scale LLM assistant using agentic workflows. Built MCP-enabled tool orchestration with retrieval pipelines for intent routing, semantic search, and response generation. Developed an end-to-end RAG query understanding platform and a multimodal image-to-product retrieval system using CLIP. Optimized semantic search inference with quantization and ONNX and benchmarked retrieval quality against Elasticsearch.
Model Context Protocol
RAG
Embeddings
Semantic Search
CLIP
ElasticSearch
ONNX
Quantization
Senior AI Engineer
•
Senior
TomTom
•
Full-Time
Developed and deployed production ML systems for ETA prediction and intelligent routing at scale. Built recommendation and retrieval components using vector search and semantic similarity methods. Implemented monitoring and evaluation services for model quality, drift tracking, and automated retraining workflows. Improved transformer inference performance via ONNX optimization and supported OCR fine-tuning for identity verification processes.
Semantic Searchsince 2020
Transformers
ONNXsince 2020
Machine Learning Engineer
•
Middle
Honeywell
•
Full-Time
Fine-tuned and deployed NLP models for multilingual translation workflows and built reusable inference infrastructure for future projects. Developed a BERT-based conversational assistant for stock inquiry use cases. Created deep learning models for edge AI inference and optimized deployments using TensorFlow Lite. Implemented a CRF-based NER system for address matching and built sentiment analysis pipelines for high-volume social data.
BERT
Transformerssince 2017
TensorFlow
NER
Sentiment Analysis
University of Miami
Bachelor's Degree •
Computer Science