120+ projects shipped across three continents. Every case study here represents a genuine business problem, an engineering solution, and a measurable outcome. No puff pieces — just the work.
A UAE digital bank processing 2M+ monthly transactions needed a real-time fraud detection and FX optimization layer that could operate below 15ms latency without disrupting existing core banking infrastructure.
We designed a parallel AI inference pipeline using a fine-tuned gradient boosting model for fraud scoring, combined with a real-time FX arbitrage engine. The system integrates via event-stream with zero downtime migration from the legacy stack.
A Midwest clinic network managing 14 sites was spending 60% of administrative hours on manual patient scheduling, EHR entry, and inter-clinic referrals — all in systems that couldn't talk to each other.
We built a HIPAA-compliant unified platform that automated scheduling workflows, integrated with three existing EHR systems via HL7 FHIR, and gave administrators a single dashboard across all 14 locations.
A 3M-user European fashion marketplace was running a static recommendation engine returning irrelevant results for 70% of sessions — directly suppressing add-to-cart rates and increasing churn on mobile.
We replaced the legacy recommendation layer with a two-stage retrieval + re-ranking AI system trained on behavioral signals, integrated dynamic pricing triggers, and A/B tested the rollout across all user cohorts.
A 500-vehicle regional freight operator was losing $1.2M annually to fuel waste, late deliveries, and reactive maintenance. Their dispatch team was using spreadsheets and phone calls to manage real-time operations.
We built a real-time dispatch platform with ML-driven route optimization, IoT telematics integration for predictive maintenance, and a live operations dashboard reducing average dispatch decision time from 8 minutes to 40 seconds.
A European edtech group running 50 vocational institutions needed to consolidate 7 legacy LMS platforms into one — without disrupting 80,000 active students — while adding AI-driven content personalization.
We architected a multi-tenant LMS with role-based access for institutions, an adaptive content engine that adjusts curriculum difficulty based on performance signals, and a real-time analytics suite for instructors and administrators.
A GCC real estate investment group wanted to digitize the entire investor journey — from discovery and valuation to transaction and portfolio tracking — replacing a fragmented mix of PDFs, WhatsApp, and manual wire transfers.
We built a full-stack investment portal with AI-driven property valuation using comparable transaction data, a KYC/AML-compliant investor onboarding flow, and a digital transaction layer integrated with UAE banking APIs.
A private hospital group needed to reduce reporting delays in radiology while maintaining clinician oversight and patient safety standards.
We deployed an AI triage workflow that prioritizes urgent scans, flags anomalies for review, and routes cases into the existing PACS workflow with audit trails.
A lending startup needed more accurate risk scoring for thin-file borrowers and faster loan decisions during peak campaign traffic.
We built a hybrid risk model using transactional and behavioral features, with explainability outputs for compliance and real-time API decisions.
An omnichannel retailer was facing frequent stockouts and overstock in seasonal categories across warehouses in multiple cities.
We introduced an AI forecasting pipeline that predicts SKU-level demand and auto-suggests replenishment plans connected to ERP purchase workflows.
A cross-border logistics operator needed better shipment ETA accuracy to reduce SLA penalties and support team escalations.
We built an AI ETA model combining telematics, traffic, and historical lane behavior, then integrated alerts into the control tower dashboard.
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