Vision
From NASA JPL Mission-Critical Systems to Enterprise AI Innovation
Our expertise in cutting-edge technology was profoundly enhanced through our team's experience at NASA JPL's Physical Oceanography DAAC, where we worked alongside teams supporting Mars missions and deep space exploration. There, we mastered the rigorous engineering discipline required for systems where failure isn't an option - architecting robust CI/CD pipelines, implementing NASA's stringent data governance protocols, and developing tools that enabled scientists to process petabyte-scale satellite data with unprecedented efficiency.
This foundation in mission-critical systems engineering now drives our approach to AI/ML solutions. We specialize in designing enterprise-scale RAG architectures, spatial AI systems, and intelligent document processing platforms that combine the reliability demanded by space exploration with the innovation required by modern business.
From pioneering hexagonal spatial indexing systems to implementing advanced LLM integrations for the US Army Corps of Engineers, we bring NASA-grade engineering excellence to every project. Today, we help organizations transform their most complex data challenges into competitive advantages through scalable AI solutions, always applying the lessons learned from supporting humanity's boldest endeavors - where precision, reliability, and innovation converge.
Core Competencies
Technical Excellence
- AI/ML Technologies: LangChain, LlamaIndex, Haystack • Vector Databases • RAG Systems • Prompt Engineering • Fine-tuning
- Cloud & Infrastructure: AWS (Full Stack) • Azure • Databricks • Serverless Architecture • Microservices • Docker/Kubernetes
- Data Engineering: Apache Spark • Python • Real-time Processing • ETL/ELT • Data Lakes • Stream Processing
- Geospatial Technologies: ESRI ArcGIS Suite • QGIS • PostGIS • GDAL • Remote Sensing • H3 Hexagonal Indexing
Strategic Capabilities
- Solution Architecture: System design for scalability, reliability, and maintainability
- Technical Leadership: Cross-functional team coordination and mentorship
- Innovation Management: R&D strategy, proof-of-concept development, and technology evaluation
- Business Alignment: Translating complex business requirements into elegant technical solutions
Certifications
- Databricks Generative AI Solution Development (2025)
- CompTIA Security+ (2024)
Services
AI/ML System Architecture & Implementation
End-to-end design and deployment of enterprise-scale artificial intelligence solutions.
- Large Language Model (LLM) Integration: Custom RAG architectures, prompt engineering, and fine-tuning strategies
- Intelligent Document Processing: Advanced document cracking, semantic search, and knowledge extraction systems
- Model Context Protocol (MCP): Seamless integration of AI capabilities into existing enterprise applications
- Multi-Modal AI Solutions: Computer vision, NLP, and hybrid systems for complex business challenges
Data Engineering & Cloud Architecture
Scalable infrastructure design for petabyte-scale data processing and real-time analytics.
- Cloud-Native Solutions: AWS, Azure, and Databricks architectures optimized for cost and performance
- Real-Time Data Pipelines: Stream processing, event-driven architectures, and sensor data integration
- Big Data Analytics: Apache Spark optimization, distributed computing, and data lake design
- DevOps & CI/CD: Infrastructure as code, automated testing, and continuous deployment strategies
Geospatial Intelligence & Analytics
Bridging the gap between spatial data and actionable business intelligence.
- Spatial AI Integration: Natural language interfaces for GIS platforms and spatial reasoning systems
- Remote Sensing Analytics: Satellite imagery processing, change detection, and predictive modeling
- Location Intelligence: H3 indexing, spatial optimization, and geographic pattern recognition
- Enterprise GIS Solutions: PostGIS, ArcGIS integration, ESRI map services, and custom geospatial applications
Consulting Approach
- Discovery & Analysis: Comprehensive assessment of your current technology landscape, business objectives, and challenges
- Agile Implementation: Deliver value incrementally through rapid prototyping, continuous feedback, and iterative improvement
- Knowledge Transfer: Ensure your team has the skills to maintain and evolve solutions through documentation, training, and hands-on mentorship
- Continuous Innovation: Ongoing optimization, emerging technology integration, and strategic technical guidance
Products
ChatDQM - Intelligent Knowledge Management System
US Army Corps of Engineers | 2024
Transforming document query capabilities through advanced AI/ML technologies
Led the development of ChatDQM, an advanced RAG-based system that revolutionized USACE's document query and knowledge management capabilities:
- Metadata-Enhanced RAG Architecture: Implemented expanded vector schemas with intelligent metadata filtering, improving response quality from basic summaries to professional-grade, authoritative outputs
- Performance Optimization: Achieved >50% reduction in token usage while enhancing accuracy through semantic-aware filtering
- Evaluation Framework: Developed comprehensive RAG evaluation harness with retrieval, response quality, and attribution metrics
- Enterprise Integration: Built prototype Databricks SQL connector enabling natural language queries across structured and unstructured data
- Impact: Elevated information retrieval to operational standards, establishing measurable trust metrics for continuous improvement
Hexlex - Advanced Spatial Reasoning Server
Lead Developer & Project Manager | 2024-Present
Bridging traditional GIS with modern AI through novel hexagonal spatial indexing
Created and lead the development of Hexlex, an innovative Model Context Protocol (MCP) server that revolutionizes spatial computing through advanced hexagonal indexing and AI integration:
- Novel H3-Based Architecture: Pioneered hybrid approach combining Uber's H3 hexagonal indexing with automatic knowledge graph generation, achieving 10x faster spatial operations
- Performance Breakthrough: Delivered 85% I/O reduction, 70% faster query processing, and 50% storage optimization through columnar Parquet format with intelligent compression
- AI-Native Spatial Reasoning: Integrated pgvector for semantic search with spatial operations, enabling natural language GIS queries with <0.5ms coordinate conversion
- Enterprise Deployment: Designed single-command deployment system with Docker orchestration, supporting both cloud and on-premise installations
- QGIS Integration: Developed native plugin enabling real-time hexagonal visualization and interactive spatial analysis within existing GIS workflows
- Technical Innovation: Combined DuckDB analytics with PostgreSQL/pgvector, processing 2,000+ features/second with 250MB memory footprint for 1M features
Industry Experience
- Government & Defense: US Army Corps of Engineers, US Navy, NASA JPL
- Technology & Data: UberMedia, Databricks ecosystem
- Real Estate & PropTech: Market analysis and automation systems
- Financial Services: Algorithmic trading and risk analysis
- Engineering & Infrastructure: Arup global projects
- Research & Academia: Scientific computing and oceanographic systems
Live Demo
Experience our AI-powered parcel processing solution in action. This interactive demo showcases our intelligent document analysis capabilities with real-time natural language interaction.
Note: This demo may take a few seconds to load as the service wakes up. Powered by Chainlit and our custom AI models.
Contact & Connect
Ready to Transform Your Data Challenges?
Let's discuss how I can help your organization leverage cutting-edge AI/ML technologies to achieve your business goals.
References available upon request.