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Case Studies

Results that speak

Real engagements. Real outcomes. Real systems in production.

AI & Data

AI-Driven Supply Chain Optimisation

Global Logistics Company

Challenge

Inaccurate demand forecasting causing 25% excess inventory and frequent stockouts across 12 distribution centres.

Approach

Deployed real-time ML pipelines ingesting 2M+ events/day. Built demand forecasting models with feature stores and continuous retraining. Integrated predictions into warehouse management and procurement systems.

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Results

60% reduction in forecasting error
25% reduction in excess inventory
40% fewer stockout events
£4.2M annual cost savings

Tech Stack

KafkaPyTorchMLflowAirflowAWS SageMakerFastAPI
Cloud

Cloud Migration at Scale

Financial Services Firm

Challenge

200+ legacy services running on-premises with increasing maintenance costs, slow deployment cycles, and compliance pressure.

Approach

Designed a multi-account AWS landing zone with infrastructure as code. Migrated services in bounded batches with parallel run validation. Implemented FinOps practices for ongoing cost governance.

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Results

Zero-downtime migration
40% cloud cost reduction within 90 days
3× deployment velocity
Full regulatory compliance maintained

Tech Stack

AWSTerraformEKSGitHub ActionsArgoCDDatadog
Development

Node.js Platform Rebuild

SaaS Platform

Challenge

Monolithic Node.js application struggling with 500ms+ response times under load, unable to scale beyond 200 RPS, and 6-month feature delivery cycles.

Approach

Decomposed monolith into 14 microservices with event-driven architecture. Built API gateway with rate limiting and circuit breakers. Implemented full observability stack with distributed tracing.

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Results

10× throughput improvement (2,000+ RPS)
50ms p99 latency
Feature delivery in weeks, not months
99.97% uptime

Tech Stack

Node.jsNestJSKafkaRedisPostgreSQLGrafana

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