Featured Software & AI Projects

A large professional services firm was processing thousands of unstructured invoices and contracts manually — taking 4–6 hours per document batch with high error rates.

We designed and deployed a custom NLP and computer vision pipeline using Python and Hugging Face transformers to automatically extract, classify, and validate document data against business rules.

Automated extraction accuracy of 94%+ across document types. Processing time reduced from hours to minutes.

A growing SaaS company was experiencing deployment bottlenecks, scaling failures, and high infrastructure costs from an aging PHP monolith that could not support rapid product growth.

We decomposed the monolith into domain-aligned microservices, containerized each service with Docker, orchestrated them on Kubernetes (EKS), and implemented a full GitOps CI/CD pipeline.

Deployment frequency increased from monthly to multiple times per day. Infrastructure costs reduced by 35%.

A retail group was making inventory and pricing decisions from day-old reports, resulting in stockouts, overstock, and missed revenue opportunities across 50+ locations.

We built an end-to-end real-time data platform using Apache Kafka for event streaming, Apache Spark for processing, and a custom dashboard with live inventory and sales analytics.

Decision latency reduced from 24 hours to under 5 minutes. Stockout incidents reduced by 28%.

A manufacturing plant was experiencing unplanned equipment downtime costing hundreds of thousands in lost production — with no visibility into equipment health until failures occurred.

We deployed IoT sensor data collectors, built an ingestion pipeline to stream machine telemetry into a data lake, and trained custom ML anomaly detection models to predict failures 72 hours in advance.

Predictive failure detection accuracy of 89%. Unplanned downtime reduced by 41% in the first 6 months.