Reduced cloud infrastructure costs by 100% ($10K/month) by engineering a custom OCR solution to replace AWS Textract, maintaining accuracy while improving processing speed and reliability.

Designed a custom chunking library tailored for financial documents, optimizing token usage and preserving tabular data integrity significantly better than off-the-shelf solutions like LangChain.

Implemented a hybrid search algorithm combining semantic (SentenceTransformers) and fuzzy matching (RapidFuzz) to align section headers across disparate documents, improving retrieval accuracy.

Built a document classification model achieving 98.5% accuracy by optimizing embedding strategies and scoring functions for financial data categorization.

Established a comprehensive CI testing suite using Pytest, covering the full data ingestion lifecycle and accelerating the release cycle by 20%.

Designed and deployed scalable RESTful APIs to synchronize inventory data in real-time between the storefront and warehouse systems, ensuring 99.9% data consistency.

Engineered asynchronous background tasks using AWS Lambda and ECS Fargate to handle high-volume inventory sorting operations, decoupling business logic from the main application thread.

Developed a dynamic PDF generation engine, automating manual form creation workflows and reducing administrative overhead.

Optimized user communication protocols by implementing a robust email notification system integrated with core application logic.