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.
