/ Shipped Programs

Six Programs. Architecture on Record.

17+ Years

Enterprise delivery across insurance, cloud, and AI programs.

6 Programs

Each program below shows the business challenge, the architecture decisions that resolved it, and the measurable outcome. The code and case studies are linked — not claimed.

Claims, cloud, fraud, pricing, analytics, and automation — each with verifiable outcomes.

Close-up of a wide enterprise dashboard on a monitor in a dim server-room office, claims data pipeline visualized as node graphs on screen, fluorescent overhead light casting precise shadows on desk surface, laptop keyboard in foreground
Close-up of a wide enterprise dashboard on a monitor in a dim server-room office, claims data pipeline visualized as node graphs on screen, fluorescent overhead light casting precise shadows on desk surface, laptop keyboard in foreground
Wide enterprise data center corridor, rows of illuminated server racks receding into depth, cool blue LED ambient light, a technician in background reviewing a tablet, ceiling cable trays visible above
Wide enterprise data center corridor, rows of illuminated server racks receding into depth, cool blue LED ambient light, a technician in background reviewing a tablet, ceiling cable trays visible above
Close-up of a laptop screen displaying a fraud detection analytics dashboard with heatmaps and anomaly scatter plots, office daylight from a window to the left, dark desk surface in foreground, cables partially visible
Close-up of a laptop screen displaying a fraud detection analytics dashboard with heatmaps and anomaly scatter plots, office daylight from a window to the left, dark desk surface in foreground, cables partially visible
Architect's hands sketching a system architecture diagram on whiteboard in a conference room, marker lines showing data flow between boxes labeled with cloud service names, fluorescent office lighting, blurred monitor screens in background
Architect's hands sketching a system architecture diagram on whiteboard in a conference room, marker lines showing data flow between boxes labeled with cloud service names, fluorescent office lighting, blurred monitor screens in background
Wide shot of a business intelligence dashboard displayed on a large office wall screen, customer data segments and funnel charts visible, open-plan enterprise office in background with rows of desks, daylight from tall windows
Wide shot of a business intelligence dashboard displayed on a large office wall screen, customer data segments and funnel charts visible, open-plan enterprise office in background with rows of desks, daylight from tall windows
Close-up of a developer's hands typing on a mechanical keyboard with workflow automation code on a dark IDE on a wide monitor, blurred secondary screens in background, office fluorescent light overhead, clean desk surface
Close-up of a developer's hands typing on a mechanical keyboard with workflow automation code on a dark IDE on a wide monitor, blurred secondary screens in background, office fluorescent light overhead, clean desk surface
• AI / Insurance

AI Claims Prediction Platform

Challenge: manual triage caused 6-day average claim cycle times. Decision: XGBoost severity classifier on AWS SageMaker with real-time scoring API replacing batch rules engine.

Result: 40% reduction in processing time. $200K build cost. Business owns the model; no external dependency at steady state.

Stack: Python · XGBoost · AWS SageMaker · REST API · Snowflake

• Cloud / Migration

Enterprise Cloud Migration Program

Challenge: 200+ on-premises workloads with no cloud operating model. Decision: strangler-fig pattern with org restructuring before lift — not after.

Result: 35% infrastructure cost reduction. 18-month delivery. Zero production incidents during cutover.

Stack: AWS · Terraform · Kubernetes · CI/CD · CloudFormation

• AI / Risk

Fraud Detection Platform

Challenge: rule-based engine produced 60% false-positive rate, triggering manual review on every alert. Decision: graph neural network on real-time event stream replacing static rule sets.

Result: false-positive rate cut to 18%. Analyst review queue reduced by 52%. Detection latency under 200ms.

Stack: Python · PyTorch · Apache Kafka · Azure Event Hub · Cosmos DB

• ML / Pricing

Predictive Pricing Engine

Challenge: static actuarial tables repriced annually, missing real-time market signals. Decision: gradient boosting ensemble with automated feature pipeline fed by live market data.

Result: 12% improvement in loss ratio. Pricing cycle compressed from 12 months to 2 weeks.

Stack: Python · LightGBM · Azure ML · Databricks · Delta Lake

• Analytics / Data

Customer 360 Analytics Platform

Challenge: customer data siloed across 11 systems with no unified identity. Decision: medallion lakehouse architecture with entity resolution layer as the single source of truth.

Result: 360-degree customer profile available in under 3 seconds. Cross-sell conversion up 22%.

Stack: Databricks · Spark · dbt · Snowflake · Power BI · Azure Data Factory

• Automation / Platform

Enterprise Workflow Automation Platform

Challenge: 14 manual approval workflows averaging 9 days each. Decision: event-driven orchestration with human-in-the-loop checkpoints, replacing email-based routing.

Result: average workflow cycle time dropped to 1.4 days. 80% of approvals now fully automated. $1.2M annual operational cost reduction.

Stack: Azure Logic Apps · ServiceNow · Node.js · REST APIs · PostgreSQL

Code is public

The architecture decisions are in the commits.

Every repository listed on the GitHub page maps to a program above. Inspect the code, the branching strategy, and the infrastructure-as-code before the conversation.