Over 8+ years, I've progressed from Data Analyst to Principal ML Engineer, shipping production models across sales forecasting, NLP, computer vision, and time series analysis. At NorthBay Solutions (AWS Premier Partner), I led ML initiatives for enterprise clients, architecting end-to-end pipelines on SageMaker, Lambda, Glue, and Redshift. What I bring to a team: Core ML & AI: Python, PyTorch, TensorFlow, scikit-learn, Spark, SQL, Transformers, LSTM, GRU, Feature Engineering, Model Optimization Generative AI & LLMs: LangChain, RAG Architectures, Fine-Tuning (LoRA, QLoRA, PEFT), OpenAI, Claude/Anthropic, LLaMA, Hugging Face, VLLM, Prompt Engineering, Agentic AI Vector Search & Retrieval: FAISS, ChromaDB, Pinecone, Weaviate, Milvus, PG-Vector AWS-Native ML: SageMaker, Bedrock, Rekognition, Comprehend, Lambda, Step Functions, Glue, EMR/Spark, ECS/ECR, CodeCatalyst Data Engineering: ETL/ELT Pipelines, PySpark, DataStage, Data Lakes, Data Warehousing, PostgreSQL, DB2, Redshift Full lifecycle ownership: problem framing → data engineering → model development → deployment → monitoring Track record leading cross-functional data teams across 6 countries. I build ML systems that move business metrics, from demand forecasting models that cut inventory waste by 30% to computer vision pipelines processing 100K+ images/day on AWS. I also founded Reallytics.ai, where I've led 20+ GenAI and data science engagements for clients across North America, Europe, and the Middle East — giving me both the technical depth of an IC and the stakeholder fluency of a leader. Beyond building, I teach. I design and deliver workshops that help experienced developers level up with Generative AI and modern AI tooling. Leading a cohort of 25 engineers teaching AI coding agents @ Andela, MCP orchestration, sub-agents, and GitHub workflow integration with Claude Code. Production-oriented AI-assisted development pipelines. Currently exploring senior IC or lead roles in ML/Data Science (remote, US-AUS-UK-based preferred).…Over 8+ years, I've progressed from Data Analyst to Principal ML Engineer, shipping production models across sales forecasting, NLP, computer vision, and time series analysis. At NorthBay Solutions (AWS Premier Partner), I led ML initiatives for enterprise clients, architecting end-to-end pipelines on SageMaker, Lambda, Glue, and Redshift. What I bring to a team: Core ML & AI: Python, PyTorch, TensorFlow, scikit-learn, Spark, SQL, Transformers, LSTM, GRU, Feature Engineering, Model Optimization Generative AI & LLMs: LangChain, RAG Architectures, Fine-Tuning (LoRA, QLoRA, PEFT), OpenAI, Claude/Anthropic, LLaMA, Hugging Face, VLLM, Prompt Engineering, Agentic AI Vector Search & Retrieval: FAISS, ChromaDB, Pinecone, Weaviate, Milvus, PG-Vector AWS-Native ML: SageMaker, Bedrock, Rekognition, Comprehend, Lambda, Step Functions, Glue, EMR/Spark, ECS/ECR, CodeCatalyst Data Engineering: ETL/ELT Pipelines, PySpark, DataStage, Data Lakes, Data Warehousing, PostgreSQL, DB2, Redshift Full lifecycle ownership: problem framing → data engineering → model development → deployment → monitoring Track record leading cross-functional data teams across 6 countries. I build ML systems that move business metrics, from demand forecasting models that cut inventory waste by 30% to computer vision pipelines processing 100K+ images/day on AWS. I also founded Reallytics.ai, where I've led 20+ GenAI and data science engagements for clients across North America, Europe, and the Middle East — giving me both the technical depth of an IC and the stakeholder fluency of a leader. Beyond building, I teach. I design and deliver workshops that help experienced developers level up with Generative AI and modern AI tooling. Leading a cohort of 25 engineers teaching AI coding agents @ Andela, MCP orchestration, sub-agents, and GitHub workflow integration with Claude Code. Production-oriented AI-assisted development pipelines. Currently exploring senior IC or lead roles in ML/Data Science (remote, US-AUS-UK-based preferred).WWWW…