Projects That Deliver Results

Problem

A growing SaaS company was spending over $2M annually on customer support with average ticket resolution times exceeding 24 hours.

Solution

Built a custom RAG-based AI system using LangChain and GPT-4 that automatically categorizes, prioritizes, and drafts responses. Integrated with existing Zendesk workflow.

Outcome

• 60% reduction in resolution time
• 40% decrease in support costs
• 92% categorization accuracy
• NPS improved by 18 points

Problem

A Series B fintech needed real-time processing of millions of transactions for fraud detection. Their batch system caused 6-hour delays.

Solution

Designed real-time streaming with Kafka and Spark Structured Streaming. Built a feature store for ML models and automated compliance reporting with sub-second latency.

Outcome

• Latency: 6 hours to under 500ms
• 99.99% pipeline reliability
• Fraud detection improved 35%
• 90% compliance automation

Problem

A healthcare platform on legacy on-premise infra faced scalability issues, frequent downtime, and security gaps threatening SOC 2 certification.

Solution

Led full cloud migration to AWS with Kubernetes. Implemented IaC with Terraform, automated CI/CD, and built comprehensive observability. Achieved SOC 2.

Outcome

• 99.95% uptime (from 97%)
• 3x deployment frequency
• 40% infra cost reduction
• SOC 2 Type II certified

Problem

An e-commerce company with 500K+ SKUs was losing $3M annually from inventory issues. Forecasting used simple moving averages.

Solution

Built ML-powered demand forecasting with gradient boosting and deep learning. Created automated inventory optimization factoring seasonality and external signals.

Outcome

• Accuracy: 62% to 89%
• 25% lower carrying costs
• 45% fewer stockouts
• $1.2M annual savings