Dharunkumar C

Information Technology graduate (2026) with a strong interest in Generative AI and hands-on experience in developing AI-powered applications through academic projects and specialized training. Skilled in Python, SQL, Prompt Engineering, LangChain, LlamaIndex, FAISS, TensorFlow, and AWS Bedrock. Experienced in building RAG-based solutions, conversational AI applications, and deep learning models. Passionate about learning emerging AI technologies and applying them to solve real-world problems.

Healthcare Claim Adjudication GenAI Assistant - WNS Global Solutions

(2025-12 - 2026-06)

Domain: Healthcare Insurance

• Designed and implemented a healthcare claim adjudication assistant using LangChain and RAG to support claim review, policy coverage validation, and decision-making for claim processors.
• Built document ingestion pipelines to process claim forms, medical bills, discharge summaries, policy documents, and adjudication guidelines into a searchable FAISS vector store.
• Generated embeddings using OpenAI models; implemented retrieval logic to fetch relevant policy clauses, CPT/ICD descriptions, eligibility rules, and claim validation guidelines.
• Developed GenAI prompts to generate claim summaries, approval/denial reasoning, missing document alerts, and adjudication recommendations with context-grounded accuracy.
• Integrated Redis-based conversational memory for multi-turn interactions and PostgreSQL to store claim metadata, adjudication status, and validation results.
• Implemented batch processing using Celery for large-volume claim analysis; containerised services with Docker and Kubernetes for scalable deployment.
• Tracked prompt versions, model outputs, and evaluation results using MLflow; monitored system latency and claim processing success rates via Prometheus and Grafana.

Bachelor of Engineering - Information Technology - Parul University - Vadodara (2022-07 - 2026-05)