A portfolio of 20 custom-engineered, bleeding-edge AI systems I have designed and built — spanning advanced Microsoft Copilot Studio agents, Azure AI Foundry multi-agent platforms, multi-cloud ecosystems that orchestrate across AWS, Azure, and GCP, and real-time situational awareness systems. Each product is mapped to its value proposition and concrete use cases across commercial, retail, federal, and military customers.
Filter by platform pillar. Every card lists the technology stack and the customer segments it serves.
A multi-topic Copilot Studio agent with generative orchestration, MCP tool calling, and human-in-the-loop escalation that resolves IT, HR, and facilities tickets end to end — triaging, acting across ServiceNow/Jira/Intune, and closing the loop.
Value: cuts mean-time-to-resolution by 60–80% and deflects 70% of tickets before a human touches them.
An advanced agent that walks cleared-personnel candidates through SF-86 prep, adjudication status, and continuous-vetting nudges, with strict PII redaction, sovereign data boundaries, and full audit topics.
Value: compresses security onboarding from weeks to days while maintaining defensible compliance evidence.
A store-associate agent embedded in Teams and handheld devices that answers planogram, price-override, and inventory questions, triggers restock workflows, and coaches associates with real-time upsell guidance.
Value: lifts basket size 8–12% and removes 90% of "ask a manager" interruptions on the floor.
A capture-management agent that ingests RFPs/RFIs, maps requirements to a compliance matrix, drafts win-themed responses with cited past performance, and routes color-team reviews automatically.
Value: doubles proposal throughput and raises compliance-matrix coverage to 100% before pink team.
A disconnected-tolerant agent for field maintainers that diagnoses equipment faults, pulls IETM procedures, and queues parts requisitions that sync when connectivity returns — voice-first for hands-busy environments.
Value: raises first-time-fix rates and keeps fleets mission-capable in DDIL conditions.
A Foundry hosted agent (gpt-5.4) with a real-time talking avatar, voice mode, and web-search grounding that runs structured discovery to turn vague ideas into build-ready requirements briefs.
Value: standardizes intake quality and shrinks discovery cycles from weeks to a single guided session.
A Foundry Agent Service orchestration where a planner agent decomposes objectives and delegates to specialist sub-agents (intel, logistics, comms) with connected tools, shared memory, and continuous evaluation guardrails.
Value: turns complex, multi-step planning into auditable agent workflows with measurable quality gates.
A retrieval-augmented Foundry agent over classified-adjacent corpora with hybrid vector search, fine-grained ACL trimming, citation enforcement, and groundedness scoring to eliminate hallucinated answers.
Value: delivers trustworthy answers with provenance, unlocking AI on sensitive document stores.
A low-latency Foundry agent that fuses transaction streams, device signals, and graph features to score fraud in-flight, explain its reasoning, and auto-issue step-up challenges or holds.
Value: blocks fraud losses while cutting false-positive friction that drives cart abandonment.
An ambient Foundry agent that transcribes clinician–patient encounters, drafts structured notes to FHIR, suggests coding, and flags care-gap alerts — with PHI safeguards and clinician sign-off.
Value: returns hours per day to clinicians and improves coding accuracy and revenue integrity.
A governed data fabric that virtualizes datasets across AWS S3, Azure Data Lake, and GCP BigQuery, enforcing one policy plane so AI workloads query everywhere without copying data across clouds.
Value: kills data-gravity lock-in and lets teams train and infer where the data and GPUs are cheapest.
An intelligent model gateway that routes each prompt to the best-fit model across Azure OpenAI, AWS Bedrock, and Google Vertex based on cost, latency, capacity, and data-residency constraints — with automatic failover.
Value: 30–50% lower inference spend and resilient uptime when any single provider throttles or degrades.
A unified identity, policy, and posture-management control plane spanning AWS, Azure, and GCP that normalizes IAM, enforces zero-trust segmentation, and continuously remediates drift against CIS/NIST baselines.
Value: one pane of glass for cross-cloud security posture, slashing audit prep and breach exposure.
A globally distributed event backbone that bridges AWS Kinesis, Azure Event Hubs, and GCP Pub/Sub with exactly-once semantics, schema governance, and replay — so real-time pipelines survive a full-cloud outage.
Value: continuous data flow and disaster resilience even when an entire cloud region goes dark.
A workload-portability platform that packages GPU jobs as portable containers and bursts them across AWS, Azure, and GCP — or into sovereign/air-gapped regions — to chase capacity while honoring data-sovereignty rules.
Value: guarantees GPU capacity for surge demand without violating jurisdictional data boundaries.
A real-time COP that fuses sensor, GIS, weather, and OSINT feeds into a single geospatial display with AI-driven track correlation, threat ranking, and what-if course-of-action simulation.
Value: collapses decision latency by giving commanders one trusted, ranked picture of the battlespace.
A fusion engine that correlates SIGINT, GEOINT, and OSINT in real time, deconflicts duplicate detections, and surfaces emerging patterns-of-life with confidence scoring and analyst-in-the-loop validation.
Value: turns overwhelming raw feeds into prioritized, explainable intelligence leads.
A computer-vision awareness system that monitors store camera networks for ORC patterns, sweet-hearting, and queue anomalies, alerting loss-prevention in real time with privacy-preserving on-edge inference.
Value: cuts shrink and organized retail crime losses while protecting shopper privacy at the edge.
A cyber-SA platform that fuses EDR, network, identity, and threat-intel telemetry into a live attack-surface graph, runs AI anomaly detection, and auto-builds incident timelines with recommended containment actions.
Value: shrinks dwell time from days to minutes and arms SOC analysts with ranked, explained threats.
A digital-twin awareness system for ports, bases, and supply nodes that fuses IoT, AIS vessel tracks, and access-control data to predict congestion, detect intrusions, and orchestrate emergency response.
Value: keeps critical infrastructure flowing and secure with predictive, twin-driven early warning.