Dharunkumar C

Information Technology graduate (2026) with hands-on experience in Generative AI, Retrieval-Augmented Generation (RAG), Conversational AI, and Deep Learning applications. Skilled in Python, SQL, LangChain, LlamaIndex, FAISS, TensorFlow, AWS Bedrock, and Prompt Engineering. Experienced in developing AI-powered solutions, semantic search systems, and machine learning applications for real-world use cases.

Passionate about building scalable AI applications and leveraging Large Language Models (LLMs) to solve business challenges through intelligent automation and data-driven decision-making.

Healthcare Claim Adjudication GenAI Assistant at WNS Global Solutions (2025-12 – 2026-06)

• Built a healthcare claim adjudication assistant using LangChain, Azure OpenAI, and RAG architecture.
• Developed document ingestion pipelines and FAISS-based semantic retrieval for policy validation.
• Generated AI-powered claim summaries, approval recommendations, and missing-document alerts.
• Integrated Redis conversational memory and PostgreSQL for structured claim data management.
• Implemented Docker, Kubernetes, and MLflow for scalable deployment and monitoring.

Banking Fraud Alert & Risk Scoring AI Platform at WNS Global Solutions (2025-12 – 2026-06)

• Developed a GenAI-powered fraud investigation and risk scoring platform for banking operations.
• Designed a multi-agent workflow using LangGraph for fraud alert analysis, AML validation, risk scoring, and escalation handling.
• Built RAG pipelines to retrieve banking policies, compliance rules, and fraud patterns using Amazon Titan Embeddings and OpenSearch Vector DB.
• Integrated AWS Bedrock Claude to generate fraud investigation summaries, analyst recommendations, and suspicious activity narratives.
• Implemented risk scoring using transaction patterns, customer history, compliance rules, and LLM reasoning.
• Developed FastAPI services and implemented monitoring, audit logging, and AI guardrails.

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