Work That Speaks for Itself

Challenge

The client needed a trading platform capable of handling massive volume in markets with unreliable connectivity — with no pre-existing technical infrastructure.

Solution

We designed a microservices architecture on AWS with Kafka-based event streaming, a Python ML risk engine, and a React Native mobile app for traders.

Challenge

Entering the US market required strict HIPAA compliance while delivering a seamless experience for both patients on mobile and clinicians on desktop.

Solution

We built on Azure with end-to-end encryption, BAA agreements enforced at the infrastructure level, and a WebRTC video layer with AI triage.

Challenge

The existing platform was crashing under Black Friday traffic. The client needed a rebuild without downtime across a $120M+ GMV business.

Solution

We architected a Next.js Commerce storefront with Shopify Plus backend, Algolia search, and a custom promotion engine with blue-green deployment.

Challenge

Manual dispatch was causing 30%+ fuel waste and delivery delays with 10,000 vehicles and no centralized data infrastructure.

Solution

We built a real-time telematics ingestion pipeline on GCP, a TensorFlow route optimization model, and a React dispatch dashboard integrated with SAP ERP.

Challenge

The legacy monolith couldn't scale to meet demand and the product roadmap required AI features the existing architecture couldn't support.

Solution

We decomposed the monolith into microservices with a new Next.js frontend, added an AI coaching engine using GPT-4, and migrated 500+ tenants with zero data loss.

Challenge

The client was managing investor relationships on spreadsheets and lacked data infrastructure to analyze 50,000+ property listings across 8 markets.

Solution

We engineered a data pipeline aggregating listings from 12 sources, an ML model for yield prediction, and OpenAI-generated investment briefs that cut analyst time by 60%.