Deepak Thakur

Developed and assessed the feasibility of a RAG (Retreival Augmented Generation) based Confluence chatbot using open-source language models. Led data ingestion efforts into Llamaindex, achieving a 20% reduction in processing time. Implemented solutions to handle various Confluence attachments, resulting in a 25% increase in the chatbot’s knowledge base coverage.

Orchestrated a Generative AI initiative, leveraging ChatGPT to autonomously generate detailed test cases from user stories, reducing manual effort by 40%. Conducted rigorous evaluations of ChatGPT’s test generation capabilities, achieving a 90% accuracy rate. Spearheaded the exploration of Large Language Models (LLMs) for domain-specific fine-tuning.

Expertise in software testing, offering a skill set spanning quality assurance and data-driven insights. Proficient in manual and automated testing, utilizing Selenium WebDriver with Java for efficient automation.

Experienced Test Analyst skilled in meticulous manual testing, creating comprehensive test plans, and specializing in various testing types for ensuring software quality and reliability.

Employed optimization techniques to enhance the claims resolution process, resulting in increased claim acceptance rates. Proactively addressed issues and reduced claim denials using data insights.

Focused on data management and analytics, handled and analyzed substantial patient data and insurance claims volumes. Utilized data-driven strategies to discern patterns and trends in denied insurance claims.