Built for high-growth companies. Real systems, real numbers, no consulting-deck estimates.
Scalable forecasting system for luxury retail supply chains.
Inventory dead-stock costing $4M annually due to manual demand forecasting errors.
Transformer-based time series modeling integrated with real-time POS data streams.
94% forecast accuracy reached within 3 months of deployment across 400 locations.
Automated due diligence and regulatory mapping for fintech.
Legal teams spending 60% of their time manually cross-referencing global compliance updates.
Vector-graph hybrid database allowing semantic search across 10M+ legal documents.
Compliance reporting time reduced from 5 days to 45 minutes with full audit trails.
Agentic intervention system for SaaS user lifecycle management.
High churn among premium users failing to discover key features within the first 14 days.
LLM-orchestrated autonomous agents monitoring user events to trigger personalized tutorials.
Customer lifetime value (LTV) increased by 22% within 6 months post-launch.
AI-Ops infrastructure for zero-downtime distributed systems.
Service interruptions causing $15k loss per minute during peak e-commerce events.
Anomaly detection and automated rolling rollbacks via ML-driven cluster observation.
Mean time to resolution (MTTR) reduced from 45 minutes to 30 seconds.
I build AI systems for companies that need to move fast. Tell me what you’re working on.
