Flagship · Agentic AI
AI Product Copilots
Four production copilots live for internal teams, built on one reusable architecture. This site's chat assistant runs on the same pattern.
4
copilots live in production
kNN
Elasticsearch retrieval + RAG
Case studies
Real production systems — most from Fenix Commerce's event-driven platform (10+ modules, 40+ active retailers, 90+ at peak), plus earlier architecture work — with the constraints, the decisions, and the scale behind each.
Flagship · Agentic AI
Four production copilots live for internal teams, built on one reusable architecture. This site's chat assistant runs on the same pattern.
4
copilots live in production
kNN
Elasticsearch retrieval + RAG
Flagship · Scale
The engine that answers 'when will it arrive?' on live retail traffic, scaled from 44M to 416M+ requests a year, under 150ms.
44M → 416M+
requests/yr
sub-150ms
P99 latency
Flagship · Architecture
A high-volume enterprise pilot exposed silent data loss and Shopify auto-deregistering our webhook. Ingestion was rebuilt event-driven on Kafka to fix both, for good.
60M+
orders / yr
80M+
fulfillments / yr
Post-Purchase UX · Revenue
Market research showed retailers wanted this. The business case became an architecture, then a revenue and loyalty engine on top of it.
67M+
page views / yr
8.5M+
holiday peak views
Product Delivery · Account Win
Built and shipped in 2 months to win an enterprise account we'd chased for 4 years. It expanded into a multi-product, multi-site customer.
2 mo
concept to production
150K+
returns processed
Reliability Engineering
Two monitoring planes, infrastructure and data, so most problems are found and fixed before a single customer complains.
2
monitoring planes
Daily
data-integrity checks
Proactive Alerts · Revenue
The tracking page was a pull model: a shopper had to go check it. Competitors were pushing status updates instead, so this platform closed that gap from the ground up.
35M+
notifications / yr
-95%
WISMO support calls
Data Architecture · Scale
Strict per-tenant isolation, volume-adaptive indices, and one real-time summary read model that powers the tracking page, notifications, returns, dashboards, and ML training.
{tenant}-{entity}
index isolation
4 → 1
indices read per tracking page
Applied ML · Accuracy
Replaced static carrier SLA tables with proprietary ML models, then built the validation loop that proves, shipment by shipment, how right they are.
80–90%
ML accuracy
60–80%
carrier SLAs
Retention & Conversion
Two configuration-driven coupon engines: one repairs trust after a late delivery, the other recovers an abandoned cart. Same rules pattern, two different problems.
2
coupon-trigger engines
Config-driven
no code changes to launch a rule
Platform Modernization
One platform-wide migration removed a thread-cost ceiling that touched order processing, carrier tracking, and every tenant's notifications at once.
JDK 11 → 21
platform-wide
Virtual threads
for I/O-bound fan-out
Data Pipeline · Fulfillment Promises
Accurate BOPIS and ship-from-store delivery promises without Fenix ever managing a retailer's inventory.
15–30 min
delta snapshots
SKU + location
inventory index
Customer-Facing Leadership
After the contract is signed, I scope, build, and own the onboarding, then carry the pager. That trust is what turns single-product accounts into multi-product ones.
60+
retailers onboarded
100+
stores on one enterprise 3PL
Streaming
A Kafka/Flink pipeline that normalizes carrier chaos (10+ networks, no two alike) into one schema.
680M+
tracking events / yr
10+
carrier networks
Rules Engine · Account Win
A retailer's 3PL was silently upgrading shipping options it didn't need to. The savings case built from that finding landed the platform's first six-figure-a-month customer.
1.9M+
orders processed
10M+
carrier API calls
Data Platform · Sales Enablement
The same pipeline powers a product retailers pay for, and a data-driven sales tool that changed how we sell it.
Billions
records processed
5
pipeline stages (ES → S3 → Glue → Athena → QuickSight)
Enterprise Logistics
Understanding the problem started at the warehouse, not the whiteboard — leading to an entirely separate product and pipeline to onboard a major 3PL and its 100+ brands.
100+
retailer stores onboarded
1
major national 3PL
Zero to One · Founding Engineer
From a market thesis and a FedEx MVP to an event-driven, multi-carrier platform, plus the 15-person engineering team that scaled it.
1 → 90+
retailers at peak
10+
carrier networks
Zero to One · Distribution
From a private app for one chessboard merchant to a Shopify App Store listing with automatic tenant provisioning, plus a CSV feed processor so enterprise retailers need no platform API.
1st customer
oversized-chessboard merchant
OAuth
auto-provisioned tenants
Independent Problem-Solving · Data
Shopify gives you no way to connect an order back to the delivery prediction that preceded it. I manufactured the join key from the data itself, at 92% accuracy.
92%
checkout-to-order match
0
join keys from Shopify
Proposal-to-Production · Reusable Framework
Wrote the business proposals that became architecture, requirements, and API contracts across client engagements, then built the reusable framework and led the team that turned repeat patterns into shared infrastructure.
5
engineers led
National
engineering org
Early Career · Integration
RESTful services for patient records and sub-second demographic search, built so doctors could see the patient in the room, not wait for a screen.
Sub-second
patient demographic search
REST + SOAP
integration