Every card below uses the highest truthful verb and nothing above it.
Built, delivered, and runs in production
Full operations transformation for a live-performance company
Rebuilt a live-performance company's operations off WhatsApp and a dozen fragmented tools onto one Monday.com and Make.com operating system: around thirty automation scenarios in six workstreams, recurring work that spawns and routes itself, a semi-automated payment chain that rolls attendance, lessons, and supplier invoices into one monthly surface with frozen rate snapshots, and a dedicated control board watching every automation. Two years of operating history migrated. Live and in daily production use.
Architected; assistant built and demonstrated
Secure, fully-isolated AI infrastructure
For a security-sensitive organization: architected and specified a zero-egress AI enclave, with private networking end to end, an MLOps foundation, self-hosted LLMs, and vision object detection. Built and demonstrated a fully isolated, self-contained AI assistant: chat with organizational knowledge, retrieval over internal documents, deep-research workflows, document and diagram generation. Everything runs inside the closed network. Nothing leaves it.
Built and validated on real data
Multi-region demand forecasting for a global water-technology manufacturer
Built and validated quarterly product-family demand forecasts across five sales regions (EU, UK, US, Australia, China), unifying direct sales with inter-company stock transfers, extended into customer churn analysis and geographic sales analytics. Validated on real multi-year order data.
Built and validated on real data
Commodity-price forecasting engine for feed procurement
Built a GPU-accelerated forecasting engine for agricultural commodity prices (wheat, corn, oils): deep time-series architectures (NBEATS, TFT, TiDE and others) ensembled with gradient-boosted models, SHAP-based explainability, and domain feature engineering grounded in feed-formulation chemistry. Validated against real feed-mill purchasing history, aimed at optimal buy-timing and stockpiling decisions.
Designed and architected
Item-level inventory intelligence for ERP environments
Designed and specified item-level demand forecasting with dynamic safety stock and purchasing recommendations, architected as a cloud API integrating into Priority ERP, for importers and distributors in the $40M to $115M range. Success KPI defined up front: at least a 10% reduction in purchasing error.
Designed
Three-tier procurement forecasting for construction supply
Designed a progressive-accuracy system for a US construction-procurement SaaS: sales forecast, then supplier lead-time forecast, then dynamic reservation of safety stock, with ERP-integrated automation.
Designed
Receivables anomaly detection for perishable-goods distribution
Designed for a produce wholesaler serving 1,000+ customers: automatic detection of overdue-payment anomalies with weekly alerting, plus daily monitoring of customers who did not order today, integrated with the company's ERP and ordering systems.
Designed and architected
Freight and currency forecasting for import decisions
Designed and specified a forecasting tool for sea-freight prices and exchange rates as procurement decision support for a plastics manufacturer.
Built and validated on real data
Cashflow prediction from raw banking data
Built and validated a business-cashflow forecasting model working directly from real bank-account transaction history (debits, credits, checks), on an ensemble of deep and classical time-series models.
Designed
Document intelligence for investment decisions
Designed an ML pipeline extracting structured features from scanned business documents to score venture viability (a go or no-go decision plus expected-yield classification) for a real-estate investment group.
Designed and architected
Generative AI on a historic scholarly corpus
Designed a generative chatbot grounded in the complete writings of a major historic scholar, including the expert-evaluation methodology for domain-authority review and a roadmap to a natural-speech museum installation. The approach was explored with a working local build.
Built
Behavioral prediction at iGaming scale
Built engaged-user and high-value-player classifiers over hundreds of thousands of betting events, with disciplined evaluation: train, validation, and test splits with leakage control, and full precision and recall reporting.
Built
Production platform engineering with AI at the core
Built a full production web platform (cloud-native, Kubernetes, a multi-panel product with search, quoting, CRM, and analytics) using an agentic AI development methodology: architecture decision records, automated verification, and AI-driven engineering workflows end to end.
Built
Voice-AI agent that converts website visitors
Built a voice AI agent that ingests a website's content through its sitemap, builds product knowledge automatically, and holds spoken conversations that qualify and convert visitors into leads.
Built and demonstrated
Automated segmentation and measurement for aerial imagery
Built and demonstrated a SAM-based system that automatically segments airfields in satellite and aerial imagery and measures them with precision tooling, wrapped in a purpose-built UI with manual correction, object addition, and report generation. It turns the costliest phase of geospatial vision work into a supervised, minutes-long task.
Built and demonstrated
Organizational knowledge agent for a multi-site operations company
Built and demonstrated a conversational knowledge agent giving a multi-site operations company's staff free-language access to organizational knowledge, demonstrated on real content.
Built
Conversational operations agent in WhatsApp
Built a full operations agent living in WhatsApp, working in Hebrew voice notes and text. It knows the organization's content library, finds the right videos, manuals, and deliverables, handles compression and format constraints automatically, and delivers them in chat instantly. It clarifies on demand and supports selling, marketing, and in-meeting moments in real time.