Aug 2023 – Present · 2 yrs 7 mos · Hyderabad, Telangana, India · Hybrid

• Project Infinity: Likely-to-Pay Model
• Streamlined the assessment of new claims, determining payment decisions and accurate payout amounts,
• thereby enhancing operational efficiency, automating these processes, saved client’s company $100 M annually.
• Built a predictive ML model to prioritize high-probability claim adjustments, achieving 96% accuracy and 94
• % recal, and improving overal claim examination efficiency
• Built a Payment Percentage Prediction Solution utilizing Advanced Language Models (LLMs), including GPT-
• 4, to accurately forecast payment percentages.
• Project ICD-10 Data Mapper: Automate ICD Tagging
• Developed a transformer-based Longformer model to automate ICD code assignment, reducing manual effort
• and time for doctors, and processed long clinical notes efficiently to ensure accurate patient bi ling.
• Containerized the model using Docker and deployed it on GCP for seamless integration, and enhanced model
• interpretability and transparency by utilizing SHAP values to explain ICD code assignments.
• Project SDOH GenAI: Empowering Patients with AI ChatBot
• Developed a conversational AI assistant, leveraging the cutting-edge LLaMA 2 language model, and trained
• the assistant to translate natural language health inquiries into structured SQL queries.
• Provided insightful data visualizations to patients, empowering them with self service healthcare insights and
• fostering a deeper understanding of their health data
• ELV PMO Gen Ai
• Assisted the Elevance PMO in developing an several AI bots,for responding to user emails related to Onboard-
• ing, Offboarding, VPN Issues, DaaS Citrix Issues, and STAFFIT, for answering questions from a document.
• These use cases account for 40 % of the total emails received. Automating responses to these emails will
• significantly reduce the workload on the PMO team.