Dharunkumar C

Generative AI Engineer

Talent

NāmakkalMember since August 9, 2026

PythonSQLLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringSemantic SearchEmbeddingsConversational AILangChainLlamaIndexFastAPIFlaskTensorFlowKerasFAISSPostgreSQLAWS BedrockDockerKubernetesMLflow

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PythonSQLLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt Engineering

About

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.

Experience

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.