Work

Selected engagements.

Six examples of how we approach complex enterprise transformation.

Case Studies

Engineering AI That
Delivers Results

Healthcare technology control room with clinical diagnostics systems

Healthcare AI Diagnostics Platform

Predictive diagnostics deployed across a regional hospital network with explainable AI at the point of care.

99.2% Prediction Accuracy
68% Faster Diagnosis
12 Hospital Network
1.4 sec Inference Time

Business Challenge

A regional hospital network needed real-time patient risk scoring to reduce readmissions across 12 facilities—without compromising clinician trust or HIPAA compliance.

AI Solution

We deployed a federated learning platform ingesting EHR data, lab results, and IoT vitals to generate predictive risk scores with clinician-facing explainability and audit-ready governance.

  • Python
  • FastAPI
  • React
  • Azure
  • TensorFlow
  • FHIR
  • Docker
  • Kubernetes
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Financial intelligence team monitoring enterprise risk dashboards

Financial Risk Engine

Real-time fraud detection for a global payments processor built for high-volume transaction streams.

85% False Positive Drop
<50ms Inference Latency
$2.4B Daily Volume
99.9% Detection Rate

Business Challenge

A global payments processor needed fraud detection that could keep pace with transaction volume without overwhelming analysts or introducing latency into the payment flow.

AI Solution

Built a real-time inference pipeline using ensemble ML models on Kubernetes, with feature stores, drift-triggered retraining, and analyst-facing investigation workflows.

  • Python
  • FastAPI
  • Kubernetes
  • TensorFlow
  • Kafka
  • AWS
  • Docker
  • Redis
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Smart factory production line with industrial automation

Smart Factory Orchestration

IoT and ML integration across distributed facilities with predictive maintenance at scale.

35% Downtime Reduction
48 Plant Floors
3× Prediction Accuracy
12M Events / Day

Business Challenge

A manufacturing conglomerate faced unplanned downtime costing millions across distributed production facilities with fragmented sensor data and reactive maintenance.

AI Solution

Integrated IoT sensor networks with ML pipelines for predictive maintenance, production optimization, and digital twin simulation under a unified operations intelligence layer.

  • Python
  • PyTorch
  • AWS
  • IoT Edge
  • Docker
  • Kubernetes
  • React
  • TimescaleDB
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Secure digital government operations command center

Digital Government Platform

Citizen services modernized with secure AI automation across federal agency workflows.

58% Processing Time Saved
92% Citizen Satisfaction
1.2M Cases Automated
40+ Regional Offices

Business Challenge

A federal agency struggled with legacy case management systems, manual document processing, and inconsistent citizen response times across regional offices.

AI Solution

Engineered a FedRAMP-aligned platform with intelligent document processing, citizen intent classification, and workflow automation integrated with existing identity systems.

  • Python
  • Azure Gov
  • LLMs
  • React
  • Docker
  • Kubernetes
  • FedRAMP
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Retail intelligence and demand forecasting operations center

Retail Intelligence Engine

Unified demand forecasting and personalization across omnichannel retail operations.

94% Forecast Accuracy
18% Revenue Uplift
2,000+ Store Locations
35% Inventory Cost Cut

Business Challenge

A national retailer needed unified demand forecasting and personalization across 2,000+ stores with siloed inventory, pricing, and customer data systems.

AI Solution

Built a real-time customer data platform with ML-driven demand forecasting, dynamic pricing models, and personalized recommendation engines at point of sale.

  • Python
  • Snowflake
  • React
  • Prophet
  • AWS
  • Docker
  • Kubernetes
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Smart grid analytics and power control room

Smart Grid Analytics

Predictive grid optimization for a regional utility managing renewable integration at scale.

42% Outage Reduction
99.97% Grid Uptime
3.8GW Renewable Capacity
850 Substations

Business Challenge

A regional utility needed to balance renewable integration and grid stability across aging infrastructure with limited real-time visibility into demand fluctuations.

AI Solution

Deployed edge analytics on substations with centralized ML for load forecasting, outage prediction, and automated dispatch recommendations for grid operators.

  • Python
  • PyTorch
  • AWS
  • SCADA
  • GIS
  • Docker
  • Edge Computing
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