• Developed and optimized backend APIs in ASP.NET Core to deliver real-time route assignments and status updates to the driver application, improving delivery efficiency and reducing manual dispatch workload by 70%.

• Cut manual data entry time by 70% by building a web scraper with ASP.NET Core Web API and PuppeteerSharp, automating field population and product data extraction from 10+ e-commerce stores.

• Reduced manual invoice processing time by 60% by developing an Invoice UI for the billing system, integrating data binding to automatically pull and populate invoices from the database, eliminating the need for manual data entry.

• Decreased manual legal document review time by 60% by developing a Python-based NLP system with FastAPI and spaCy, automating legal term extraction and summarization for structured PDFs.

• Improved searchability and case organization by extracting key legal entities, case references, and dates using Named Entity Recognition (NER) models trained on legal datasets.

• Mitigated legal research time by 50% by building a PostgreSQL-backed system that automatically stores and indexes extracted legal terms, enabling instant search and retrieval of case references and key entities.