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Outcomes we can prove.

A closer look at engagements across AI, product engineering and security — the problem, what we built, and the measurable result. Senior teams, shipped end to end.

$50M+
Revenue impact
10M+
Users served
99.9%
Uptime guarantee
100%
On-time delivery
RetailGlobal retail chain cloud platform
01 — Cloud & Platform

Global Retail Chain Platform

We moved a global retail chain serving 2M+ customers off brittle legacy systems onto a scalable, cloud-native platform — powering a seamless omnichannel experience across 200+ stores.

Challenge
200+ stores were locked into aging on-prem systems that couldn't keep up with peak demand, slowing every release and breaking the in-store and online experience apart.
Solution
An event-driven, microservices architecture on AWS with zero-downtime migration, autoscaling for peak traffic, and a unified inventory and checkout layer across web and store.
Result
A single platform that cut infrastructure cost dramatically, tripled performance, and migrated every store with no customer-facing downtime.
40%
cost reduction
3×
performance
0
downtime
AWSKubernetesTerraformDockerEvent-driven
6 months · 12 engineers · Retail
Financial ServicesFinTech security and compliance platform
02 — Security & Compliance

FinTech Compliance Platform

A security-first platform for a leading FinTech, processing $50M+ in daily transactions while clearing the industry's most demanding compliance bars.

Challenge
Build a payments platform that could handle $50M+ in daily volume and pass SOC 2 Type II and PCI DSS Level 1 audits — without slowing the product team down.
Solution
A multi-layered security architecture with automated compliance monitoring, least-privilege identity, encrypted data flows, and continuous evidence collection baked into CI/CD.
Result
Both audits passed first time with a 100% pass rate, and the compliance posture is now continuously monitored rather than scrambled for once a year.
SOC 2
Type II
PCI
Level 1
100%
audit pass
AzureSecurity CenterCompliance MgrAzure ADDevSecOps
8 months · 8 engineers · FinTech
HealthcareHealthcare data analytics and ML platform
03 — Data & AI

Healthcare Analytics Platform

A HIPAA-compliant big-data and ML platform turning 10TB+ of daily patient data into real-time, life-saving insight — without ever compromising privacy.

Challenge
Process 10TB+ of patient data every day for real-time analytics, while meeting strict HIPAA privacy and security requirements end to end.
Solution
A streaming big-data pipeline feeding ML-powered models for early diagnosis, with de-identification, encryption and fine-grained access control built into every layer.
Result
Clinicians get insight 60% faster on a fully HIPAA-compliant platform that scales with data volume instead of buckling under it.
10TB
daily data
60%
faster diagnosis
HIPAA
compliant
GCPBigQueryTensorFlowKubernetesML
10 months · 15 engineers · Healthcare

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