PORTFOLIO
Work Measured By Outcomes, Not Deliverables
A selection of AI fine-tuning, software, and infrastructure engagements, shown with the metric each one moved.
SELECTED WORK
Six engagements across AI, software, and infrastructure
Client names withheld under NDA; methodology and measured outcomes shown as delivered.
Finance
Regulatory Language Model for AML Review
Domain-adapted LLM plus RLHF alignment to reduce false positives in a bank's transaction-review workflow.
38% fewer false positivesResult
Healthcare
Clinical Documentation Assistant
Advisory-only summarization model fine-tuned on de-identified clinical notes under encrypted training.
Adopted across 4 departmentsResult
eCommerce
Catalog-Aware Search & Recommendation
LoRA-tuned retrieval and ranking model trained on product catalog and query logs.
22% lift in click-throughResult
Customer Support
On-Brand Support Response Model
Instruction tuning plus RLHF on historical transcripts to reduce escalation rate.
17% fewer escalationsResult
Logistics
Route & Demand Forecasting Platform
Custom ML forecasting integrated with existing dispatch and fleet systems.
9% reduction in fuel costResult
Enterprise IT
Legacy ERP Modernization
Phased migration from an on-premises ERP to a cloud-native architecture with zero downtime cutover.
Zero downtime migrationResult