Hi - I'm Ed Chalon (SwarmStorm)TECHNICAL TRAILBLAZER

I invented and developed a patented AI-driven maintenance solution that transforms how technicians sustain critical operations worldwide. As the lead engineer and technical founding developer, I created this groundbreaking product that integrates Artificial Intelligence with advanced solutions.

I spearheaded the creation of a groundbreaking Integration Platform as a Service (iPaaS) designed to empower CMMS users with tools to build integrations independently. I reduced dependency on specialized developers and significantly accelerated time-to-value for business integrations, enabling strategic partnerships with NetSuite and SAP.

I built comprehensive healthcare integration solutions including ONC 2015 certified FHIR endpoints, HL7 data processing, and integrations with major healthcare systems like Cerner, AdvancedMD, and OpenPractice. I constructed a data warehouse centralizing ingestion from 150+ production servers and managed integrations with laboratories and healthcare data systems.

My specialty consulting platform offering creative solutions as a service tailored to meet unique organizational challenges. With 18+ years of technical leadership and innovation in software development, I've supported millions of end users and delivered patented solutions that transform industries.

At the onset of COVID-19, I developed a comprehensive Telehealth platform from scratch that enabled thousands of providers to deliver critical psychological services remotely. This platform bridged the gap in mental health care during a global crisis, supporting WebRTC-based video conferencing, secure patient data management, and HIPAA-compliant communication systems.

Developed a customer-facing payment processing integration with Stripe, enabling seamless transaction processing for healthcare applications. Built secure payment workflows that integrated with existing systems while maintaining compliance and security standards.

Developed, tested, and passed an ONC 2015 certified interoperability FHIR endpoint solution. This healthcare standard compliance project enabled seamless data exchange between healthcare systems, ensuring interoperability and data portability across the healthcare ecosystem.

Constructed a comprehensive data warehouse centralizing ingestion of data from 150+ production servers. Built scalable data processing pipelines that enabled real-time analytics, reporting, and business intelligence across multiple healthcare systems and applications.

Built Twilio reminder functionality to send appointment reminders by text message. Created an automated communication system that improved patient engagement and reduced no-show rates by providing timely, personalized appointment notifications.

Served as technical lead responsible for building, deploying, and managing Docker DevOps ecosystems and pipelines in Azure DevOps. Created containerized deployment solutions that improved development workflows, reduced deployment times, and enhanced system reliability.

Built an internal company billing integration solution with Zoho Subscriptions. Created automated billing workflows that streamlined subscription management, payment processing, and customer lifecycle management for SaaS applications.

Developed software solutions that increased efficiency of internal data flow and front-end UI experience for support agents. Created data-driven suggestion solutions for customers, significantly improving agent efficiency and customer satisfaction.

Administered AWS cloud environments, performing DevOps tasks to support code delivery. Built new CI/CD pipelines across repositories, optimizing delivery speed and ensuring reliable deployment processes for scalable applications.

Created an internal sales tool to coordinate with vendors and track sales in the CRM. Built automated workflows that streamlined vendor management, sales tracking, and customer relationship management processes.

I developed a patented AI/ML-powered data extraction platform that uses machine learning algorithms to identify unique part attributes from unstructured product data across multiple vendor websites. This system processes real-time data ingestion, applies neural networks for data classification, and enables intelligent product matching with 95%+ accuracy in duplicate detection.

I architected a scalable, real-time search engine that simultaneously queries hundreds of vendor websites to provide instant product availability and pricing. The system features elastic load balancing, distributed crawling infrastructure, and real-time data synchronization, reducing traditional 15-30 minute searches to under 5 seconds with comprehensive vendor coverage.

I built an advanced ML system that uses neural networks and deep learning algorithms to identify duplicate product listings across multiple vendors, even when products have different names, descriptions, or categorization. The system processes unstructured data, extracts unique part attributes, and groups identical products with high precision, enabling accurate price comparison and vendor selection.

I developed an intelligent contract analysis system that automatically extracts negotiated pricing terms from uploaded contracts, integrates with vendor databases, and ensures contract-specific pricing is reflected in real-time search results. The system uses document analysis AI to parse contract terms and automatically applies negotiated rates, saving organizations significant costs on procurement.

I created a comprehensive predictive analytics platform that uses LSTM neural networks, RNN architectures, and statistical modeling to predict equipment maintenance needs, inventory requirements, and price fluctuations. The system integrates with IoT sensors, analyzes historical data patterns, and provides automated procurement recommendations, reducing downtime and optimizing inventory costs.

I designed and implemented a distributed data warehouse architecture with real-time processing capabilities, featuring elastic search instances, swarm queue management, and automated data replication. The system handles massive datasets from multiple vendor sources, provides sub-second query responses, and scales horizontally to support enterprise-level data processing requirements with fault tolerance and high availability.

Developed robust billing systems for Fortune 100 companies including Staples, Dish Network, and Comcast. These systems handle millions of transactions securely and efficiently, featuring comprehensive payment processing, automated financial workflows, PCI compliance, and real-time transaction monitoring.