A selection of AI fine-tuning, software, and infrastructure engagements, shown with the metric each one moved.
Client names withheld under NDA; methodology and measured outcomes shown as delivered.
Domain-adapted LLM plus RLHF alignment to reduce false positives in a bank's transaction-review workflow.
Advisory-only summarization model fine-tuned on de-identified clinical notes under encrypted training.
LoRA-tuned retrieval and ranking model trained on product catalog and query logs.
Instruction tuning plus RLHF on historical transcripts to reduce escalation rate.
Custom ML forecasting integrated with existing dispatch and fleet systems.
Phased migration from an on-premises ERP to a cloud-native architecture with zero downtime cutover.