Engineering portfolio
Production systems, research, and tools I've built. Every system expresses the same engineering value: AI systems operating on high-stakes data must have explicit, auditable, and testable correctness boundaries.
Production-grade pipeline and published research addressing a critical gap in industrial ERP environments: converting noisy engineering bills of materials into ERP-safe manufacturing bills without silently corrupting production data.
Live AI system automating multi-criteria vendor scoring and safety stock calculations, actively managing procurement decisions for physical manufacturing operations.
Connecting complex, structured ERP data to accessible conversational interfaces like WhatsApp, bridging the gap between dense technical systems and non-technical staff operations.
AI-powered system for professional development, operating on deterministic logic rather than black-box heuristics.
Samir Sawarkar