Deep engineering expertise across AI, machine learning, and scalable digital systems built for real-world performance.
Cypress was losing hours daily to manual review cycles in their logistics workflows. We built a predictive ML engine trained on three years of their operations data, capable of forecasting demand shifts and auto-routing decisions without human intervention. Their ops team now focuses on judgment calls, not spreadsheets.
Technical Lead, Cypress
Capmark’s outdated loan portal had users dropping off mid-application, and support teams were overwhelmed with basic queries. We rebuilt it with an embedded AI assistant that guides clients through document submission, surfaces relevant products, and answers questions in real time, cutting drop-off at every major step.
Product Manager, Capmark
Visualsoft’s on-premise AI rendering setup crashed under peak sales traffic. We migrated their workloads to a cloud-native architecture with auto-scaling GPU clusters and edge caching, handling up to 40,000 concurrent requests with zero downtime and no drop in render quality during their highest-traffic events.
Director of Product, Visualsoft
Infotech’s engineers struggled to navigate years of internal documentation and kept escalating repetitive queries to senior staff. We fine-tuned a foundation model on their full knowledge base and integrated it with their ticketing system. New engineers were onboarded in days, and senior staff stopped being pulled into avoidable escalations.
VP of Engineering, Infotech
Developed a generative AI system to automate large-scale content and data generation. The solution increased production speed by 3X, reduced manual workload by 65%, and improved output consistency across high-demand operational processes.
Chief Technology Officer, Cadence
A UCLA research division was manually cross-referencing thousands of academic papers and clinical records, spending more time searching than researching. We built a custom LLM trained on their research corpus that answers multi-part queries, summarises findings across documents, and respects per-document access permissions for authorised researchers only.
Data Science Director, UCLA
