Led cross-cutting platform work to improve authentication, document infrastructure, and developer & operational tooling. This ultimately enabled driving higher reliability, faster document processing, and scalable ML-enabled document workflows across Ontra products.
• Centralized document stores and migrations across Ontra to provide consistent, searchable corpora for ML experiments and production models.
• Built several POCs (Filepicker, permissions, soft deleting documents) to validate safe access patterns and improve repository hygiene.
• Built a "Document Organizer with AI" POC - a document classifier that enabled rapid, human-in-the-loop organization of implementation artifacts. I used OpenAI/ChatGPT, prompt engineer, PDF parsing and automated packaging for classification of documents. See "Projects" for more detail.
• Designed and delivered ML-ready document infrastructure: an ingestion & document pipeline (Textract → consolidated JSON → JSONL) to make documents consumable by downstream ML (classification, extraction, LLMs).
• Improved platform reliability and performance (SQL and infra optimizations, Terraform work) so ML jobs and document APIs run predictably at scale.
• Shipped auth/session platform improvements (Universal Login and SLO design) and operational runbooks so cross-app ML pipelines run under consistent security and session semantics.