No. 01ai
AutoSolveAI
Closed-loop AI-assisted IT remediation platform.
AutoSolveAI turns IT tickets into governed remediation workflows. It classifies incidents, retrieves relevant prior resolutions, plans a fix, validates scripts against safety guardrails, supports approval-gated execution, runs verification checks, and captures operator feedback for scoped learning. Multi-tenant retrieval keeps customer knowledge isolated.
- End-to-end workflow: classify, plan, validate, approve, execute, verify, learn.
- RBAC, dry-run validation, manual approvals, audit logging, and production safety gates.
- Verification probes for services, processes, HTTP, ports, files, databases, and Kubernetes.
- Windows-first remediation library with selected Mac/Linux agent support for core actions.
PythonFlaskReactLLM orchestrationPostgresPrometheusDocker
No. 02founder
LandSight Solutions / ParcelMetric
My LLC and the flagship platform it ships — next-gen parcel intelligence for the public sector and enterprise.
LandSight Solutions LLC is my company; ParcelMetric is its flagship platform. ParcelMetric delivers parcel intelligence, automated QA, change detection, and GIS-ready exports across all 50 states — built for counties and statewide agencies on the public side, and for commercial real estate, utilities, telecom, insurance, transportation, and natural-resources teams on the enterprise side. I own the brand, the marketing site, the ingestion engine, the data platform, and the customer-facing product.
- Customers across the public sector (counties, statewide agencies) and enterprise (commercial real estate, utilities, telecom, insurance, transportation, natural resources).
- Automated parcel QA, change detection, statewide normalization, and GIS-ready exports.
- End-to-end ownership: discovery, ingest, normalization, enrichment, delivery, and UI.
- Pluggable Esri Feature Service and CAMA import mapping for onboarding new jurisdictions.
- Marketing site shipped with SEO and analytics; backed by an LLC (LandSight Solutions).
ReactTypeScriptViteNodePostgresLeafletArcGISAWS
No. 03platform
FedEx Surround Services (Cardinal Health)
Event-driven pipeline behind a critical pharmaceutical supply-chain integration.
Design and own the event-driven services backing FedEx Surround tracking and processing at Cardinal Health. Java microservices over Kafka with Postgres-backed state; the path that pharma shipments flow through end-to-end.
- End-to-end system design and ownership.
- Event-driven core — services react to shipment lifecycle events, not poll for them.
- Hardened for on-call: clear error handling, idempotent consumers, replayable streams.
JavaKafkaPostgreSQLMicroservicesEvent-DrivenAWS
No. 04platform
Flight-Time Estimation (NetJets)
Production SageMaker model in operational planning.
AI system that replaced manual flight-time estimation at NetJets. Trained and deployed on Amazon SageMaker and integrated into operational planning. Measurably reduced manual work and improved resource allocation across the fleet.
- Millions of inferences per week in production.
- Removed a recurring manual step from daily flight planning.
- Shipped alongside the broader EKS and Kafka modernization.
AWS SageMakerPythonAWS Lambda
No. 05platform
Workflow Modernization (NetJets)
Critical workflow platform migrated to EKS and Kafka with zero downtime.
Led the modernization of NetJets' workflow system onto Kubernetes (EKS) and AWS ECS with Kafka messaging and dynamic pod scaling. Continuous availability through the migration with significant improvements in resilience and throughput afterward.
- Zero downtime through the cutover.
- Dynamic pod scaling against Kafka backpressure.
- Mentored the team on event-driven patterns adopted afterward.
Kubernetes (EKS)AWS ECSKafkaCamel KJava
No. 06hardware
SmartOps — RoomFlow + MedTrack
Connected room-state and equipment tracking for clinical operations.
Hardware + dashboard system that gives clinics visibility into facility operations without requiring apps or deep IT integration. ESP32 devices with NFC and TFT displays log room cleanings and equipment events offline-first, then sync to a central backend over HTTPS.
- Offline-first: NVS ring-buffer queue with monotonic sequence numbering and gap detection.
- Signed OTA updates with SHA-256 validation and a documented rollback plan.
- Compliance posture mapped to NIST SP 800-213 and the HIPAA Security Rule.
ESP32RC522 NFCST7789 TFTNode.jsExpressPostgresNVS flash
No. 07platform
Customer Outreach & Supplier Integration (Cardinal Health)
B2B integration pipelines that move real operational metrics.
Built and enhanced the pipelines that bridge customer-outreach systems and supplier integrations at Cardinal Health — the plumbing behind the company's business workflows. Java + PostgreSQL on a microservices backbone.
- Improved operational efficiency on measurable KPIs.
- Replaced fragile point-to-point integrations with durable event flows.
- Mentored engineers on the resilient-integration patterns used here.
JavaAngularPostgreSQLMicroservicesKafka
No. 08platform
Work Task Modernization (NetJets)
Replatformed the daily-operations work-task system.
Designed and released the new Work Task system that replaced legacy operations tooling at NetJets. Full-stack rebuild — backend on the modernized event-driven platform, frontend on modern tooling, with migration paths designed around continuous availability.
- Shipped to production and adopted by operations teams.
- Designed alongside the EKS/Kafka migration so legacy and modern paths could coexist.
- Part of the broader ESL/Work Task/MQ initiative.
JavaReactAWSMicroservicesCI/CD
No. 09platform
IBM MQ Adapter (NetJets)
Bridge between legacy MQ workflows and the new event-driven platform.
Built and released the IBM MQ Adapter that lets the modernized platform participate in legacy MQ-based workflows. Translates between MQ topics and Kafka without breaking the existing consumers either side.
- Shipped to production as part of the broader cloud migration.
- Two-way translation — no consumer on either side had to change.
- Critical glue during the ESL migration phase.
JavaIBM MQKafkaCamel KAWS
No. 10hardware
Motion Event
Tamper-aware IMU device with a custom BLE protocol and mobile app.
ESP32 + IMU device that detects drops, impacts, shakes, flips, and tilts. Pairs over BLE to a Flutter mobile app and a desktop dashboard. Custom binary protocol with CRC16 and sequence numbering; persistent on-device log with cursor-based replay.
- 20-byte binary BLE protocol with CRC16-CCITT; text protocol fallback for tooling.
- Tamper detection across config, reset, pairing, time, and history.
- OTA safety latch and watchdog-streak protection.
ESP32NimBLEFlutterPython (dashboard)
No. 11hardware
GravPin
Passive tilt and orientation indicator. No power. No electronics.
Mechanical indicator that visibly proves whether an object was tipped past threshold or flipped in transit. Ball-bearing-in-cavity design with reversible and single-use variants. Aimed at freight, electronics shipping, art logistics, and rented equipment.
- Single-use and resettable variants with tamper-evidence.
- Targets pallet integrity, art logistics, and rented-equipment compliance.
Mechanical designTamper-evident packaging
No. 12hardware
TempClip
Cumulative temperature-exposure tracker. No battery required.
Adhesive strip with phase-change material that fills linearly only when temperature exceeds a defined threshold. Provides an unambiguous visual exposure bar for cold-chain, vaccines, lab samples, and food.
- Industry-specific calibrations for FDA, food-safe, and medical-grade SKUs.
- Optional companion scanner app for auto-logging on arrival.
Phase-change materialsThermochromic chemistryAdhesive engineering
No. 13hardware
Smart Glasses HUD
ESP32 + OLED wearable with a BLE messaging interface.
Personal heads-up display built on ESP32 driving a small OLED. Receives short messages over BLE from a paired device, rotates info cards, and runs auto-DST time and battery telemetry. Prototype platform for wearable protocols.
- Message-priority queue with manual page override.
- Auto-rotating info cards: time, battery, network, last message.
ESP32NimBLESSD1306 OLEDFreeRTOS
No. 14tool
ParcelImportTool
The national-scale ingestion engine behind ParcelMetric.
Python pipeline that auto-discovers, scores, and selects authoritative county parcel sources from the public ArcGIS index. Ingests raw and normalized NDJSON, captures sales and valuation companions, and supports statewide fallbacks and multi-state batches across roughly 3,200 US counties. This is the data engine that fills ParcelMetric.
- Source registry and scoring across roughly 3,200 US counties.
- Normalized output feeds ParcelMetric.
- Multi-state batch runner with resumability.
PythonSQLiteArcGIS RESTNDJSON
No. 15platform
AIRO Web Application + Charleys.com (Gosh Enterprises)
Internal ASP.NET web platform plus a rebuilt restaurant web presence.
Shipped the AIRO web application in ASP.NET/C# alongside POS, sales, and engineering apps for Charleys, Bibibop, and franchise partners. Rebuilt the Charleys.com mobile and desktop sites for measurably better engagement.
- AIRO supported sales and engineering workflows across the franchise network.
- Rebuilt Charleys.com mobile + desktop with measurable engagement lift.
- Integrated data across systems via .NET, SSIS, and MSSQL.
ASP.NETC#.NETMSSQLSSIS
No. 16platform
ERP / CRM Platform (Gosh Enterprises)
Custom ERP/CRM serving multiple restaurant brands.
Built and maintained a custom ERP/CRM system with a two-person team — covering Charleys, Bibibop, and adjacent companies. Integrated construction project-management features and other business-critical workflows.
- Two-engineer team serving multiple corporate brands.
- Construction project management baked in alongside the standard ERP/CRM surface.
- Automation strategies that reduced day-to-day employee workload.
ASP.NETC#MSSQLSSISERP/CRM
No. 17platform
Hartzell ERP & Cross-Server Reporting (Hartzell Industries)
Sole in-house developer for a manufacturer's ERP and reporting stack.
Maintained and extended the custom ERP, built standalone applications and add-ons in C# and VB.NET, and authored complex T-SQL reports spanning multiple servers. Identified automation opportunities across departments and shipped against them solo.
- Sole developer — owned everything from requirements to release.
- Cross-server T-SQL reporting used by multiple departments.
- Repeatedly identified and shipped automation across the business.
C#VB.NETT-SQLMSSQLERP
