• Architected a high-throughput RAG pipeline to ingest and process SEC filings (10-K), implementing a custom parser that normalizes heterogeneous HTML/PDF content into structured formats.

• 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%.

• Led the end-to-end development of a new Warehouse Management System (WMS) using FastAPI, delivering the project a full fiscal quarter ahead of schedule.

• 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.

• Refactored legacy Django codebase to resolve critical model inconsistencies, significantly improving application stability and PDF rendering performance.

• 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.