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Senior AI/ML Engineer with 7 years of experience building end-to-end AI platforms, data pipelines, and GenAI systems in ITAR-regulated defense manufacturing at RTX Corporation. Specialized in Retrieval-Augmented Generation, multiagent orchestration, MLOps/LLMOps, and distributed data engineering, having evolved from foundational data science to leading enterprise GenAI transformation. Delivered production-grade AI solutions powering IR sensor manufacturing for 20+ military platforms while co-founding an accelerator-winning startup and creating a multi-tenant RAG platform.…Senior AI/ML Engineer with 7 years of experience building end-to-end AI platforms, data pipelines, and GenAI systems in ITAR-regulated defense manufacturing at RTX Corporation. Specialized in Retrieval-Augmented Generation, multiagent orchestration, MLOps/LLMOps, and distributed data engineering, having evolved from foundational data science to leading enterprise GenAI transformation. Delivered production-grade AI solutions powering IR sensor manufacturing for 20+ military platforms while co-founding an accelerator-winning startup and creating a multi-tenant RAG platform.

Derek Bowdle

Data Scientist, AI Developer, Full Stack Developer, +2

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Senior AI/ML Engineer with 7 years of experience building end-to-end AI platforms, data pipelines, and GenAI systems in ITAR-regulated defense manufacturing at RTX Corporation. Specialized in Retrieval-Augmented Generation, multiagent orchestration, MLOps/LLMOps, and distributed data engineering, having evolved from foundational data science to leading enterprise GenAI transformation. Delivered production-grade AI solutions powering IR sensor manufacturing for 20+ military platforms while co-founding an accelerator-winning startup and creating a multi-tenant RAG platform.…Senior AI/ML Engineer with 7 years of experience building end-to-end AI platforms, data pipelines, and GenAI systems in ITAR-regulated defense manufacturing at RTX Corporation. Specialized in Retrieval-Augmented Generation, multiagent orchestration, MLOps/LLMOps, and distributed data engineering, having evolved from foundational data science to leading enterprise GenAI transformation. Delivered production-grade AI solutions powering IR sensor manufacturing for 20+ military platforms while co-founding an accelerator-winning startup and creating a multi-tenant RAG platform.

Available to hire

Senior AI/ML Engineer with 7 years of experience building end-to-end AI platforms, data pipelines, and GenAI systems
in ITAR-regulated defense manufacturing at RTX Corporation. Specialized in Retrieval-Augmented Generation, multiagent orchestration, MLOps/LLMOps, and distributed data engineering, having evolved from foundational data science
to leading enterprise GenAI transformation. Delivered production-grade AI solutions powering IR sensor
manufacturing for 20+ military platforms while co-founding an accelerator-winning startup and creating a multi-tenant
RAG platform.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Engineer | Data Engineer at RTX Corporation - Raytheon Vision Systems

May 1, 2023 - Present

Architected RAG pipelines integrating LangChain and vector databases with open-source LLMs; multi-agent orchestration using MCP and LangGraph to automate cross-domain manufacturing decisions; deployed on-prem LLMs in ITAR-compliant infrastructure using vLLM and NVIDIA Triton Inference Server, achieving 60% faster inference for defense workloads; spearheaded facility-wide GenAI strategy and established AI governance for 8+ models with prompt versioning, hallucination monitoring, and red-team evaluation protocols; built conversational AI assistants enabling engineers to query decades of manufacturing documentation via natural language; engineered end-to-end AI/ML platform stack covering ingestion, training, deployment, monitoring, and governance, accelerating model time-to-production by 60% for 15+ models; extended MLOps to LLMOps with Kubernetes, ArgoCD, and Airflow; orchestrated high-volume distributed pipelines consuming 2M+ daily manufacturing records from MES, ERP, and PLM systems w

AI/ML Engineer | Data Engineer at RTX Corporation - Raytheon Vision Systems

June 1, 2020 - May 1, 2023

Developed predictive part failure models using XGBoost and PyTorch on manufacturing process data, driving a 3x yield improvement in IR detector production; fine-tuned BERT-based NLP models via Hugging Face Transformers for manufacturing document processing, extracting structured data from 10K+ unstructured work orders; constructed ML-driven scheduling optimization combining predictive models with operations research, increasing effective factory output by 4x without additional capital investment; launched anomaly detection pipelines using scikit-learn and PyTorch for real-time quality monitoring, lowering undetected manufacturing defects by 30% on the factory floor; pioneered the MLOps platform using Kubernetes, Jenkins, ArgoCD, and Airflow, standardizing the full model lifecycle and boosting team productivity by 50%; scaled distributed ETL pipelines with Spark and Airflow, processing 1.5M+ daily sensor and process records from MES and ERP systems for ML feature engineering; establishe

Data Scientist at RTX Corporation - Raytheon Vision Systems

June 1, 2019 - June 1, 2020

Integrated MES, ERP, PLM, and CMMS systems into a unified data lake using Python, SQL, and Airflow, eliminating data silos across the manufacturing floor; produced yield analytics dashboards with statistical process control, reducing defect root-cause investigation time from weeks to hours for engineering teams; streamlined data ingestion pipelines handling 500K+ daily production records with systematic data quality validation, laying the foundation for all subsequent AI/ML initiatives; analyzed IR detector yield data using pandas and scikit-learn, identifying key process parameters responsible for over 60% of production defects in the factory; defined and implemented data governance meeting ITAR standards for 20+ manufacturing datasets, enabling cross-team secure access and passing all internal audits