Rayne K. Wilde

Building enterprise data-science and ML platforms for DoD stakeholders; containerized delivery on protected networks and embedded systems.

• Architect containerized microservice platforms with Docker, Kubernetes, and Terraform, deployed via ArgoCD across protected networks
• Build ETL, OCR, NLP, and GenAI agent modules orchestrated with LangChain and Harness
• Integrate PostgreSQL with Apache AGE knowledge graphs for RAG, alongside Elasticsearch
• Deliver full-stack features with TypeScript/React front ends and Python back ends

Developed data-science solutions and containerized applications for DoD intelligence customers on secure networks.

• Built a hybrid semantic-search system on FAISS and Weaviate (ANN) as an Elasticsearch alternative, with phonetic matching and synonym handling
• Optimized knowledge-graph scalability and search relevance, reducing query latency on large datasets
• Developed unsupervised anomaly-detection models that alert analysts to emerging issues
• Implemented NLP extraction of nested locations with geocoordinate mapping
• Created an automated YARA scanner for vulnerability detection aligned to CVE and MITRE ATT&CK standards
• Designed the ontology and RAG architecture behind an interactive analysis platform

Led a data-science team delivering language-agnostic NLP analysis of unstructured data.

• Developed tone- and stance-classification models within sentiment-analysis pipelines
• Engineered a language-independent NLP ETL pipeline for multi-stage compression, normalization, and embedding
• Created a scalable document tagging and clustering platform supporting multi-objective analysis
• Improved storage efficiency through data cleaning, clustering, and deduplication

Intelligence NCO; produced and disseminated intelligence products for mission planning.

• Produced, quality-reviewed, and disseminated intelligence products
• Automated recurring analysis workflows with Python, VBA, and Excel
• Mentored 3–5 junior Airmen and led new-Airman onboarding

Staffing Agency Contract to Hire for Occam Solutions

• Automated intelligence analysis, increasing speed, reliability, and data accessibility through web-based tools tailored to client specifications.
• Created document classification models with ANNs and semi-supervised learning, along with a multi-stage pipeline for document categorization.
• Document Classification: Implemented ANN-based classification for categorizing text, with a pipeline for tagging and cluster analysis.
• Multi-Stage Data Aggregation: Built a document processing workflow for classification, summarization, and cluster analysis, enhancing document insights.

Focused on learning QIR, IIR, LLVM, Compiler Basics, and Graph Theory

• Worked on innovating and optimizing routing within a Compiler
• Developed the foundation for a sandbox to allow for user simulation
• Focused on Ion Routing, Simulating Routing in the Compiler
• Implemented multiple graph algorithms to optimize routing

Data Science Professional performing a range of Data Analytics, and EDA tasks

• Created Causal and exploratory reports based on App Data
• Responsible for Data Cleaning, Exploratory Data Analysis (EDA), Visualization, and modeling

Text analytics and causal analysis linking work logs and corporate metrics to project-success probability.

• Created a Machine Learning program to correlate Text to Corporate metric success probability
• Classified information varying in both location and type
• Performed Exploratory and Causal quantitative analysis, as well as performed subjective analysis
• Text Analytics; Created a program to associate work logs to probability of project success, From an SQL server, used unique words in work logs
• Causal Analysis: Created multiple reports from corporate metrics to project success

Mentored and guided 3-5 airmen in creating intelligence products, reviewing and ensuring their quality, and helping with new airman onboarding.

Led anti-harassment initiatives, coordinated weekly meetings, and recruited program members.