V
Venugopal Reddy
Venugopal Reddy
About
Detail
Illinois, United States
GenAI Engineer with over 10 years of experience delivering enterprise-scale AI, ML, and LLM solutions across insurance, healthcare, banking, retail, and digital product ecosystems. Expert in modern LLM development, including GPT-40/GPT-4, LLaMA, Mistral, Claude, and domain-tuned transformer models, with hands-on experience in LoRA/QLoRA, PEFT, Hugging Face Transformers, prompt engineering, and instruction tuning for specialized reasoning tasks. Strong in Retrieval-Augmented Generation (RAG) using Azure Cognitive Search, FAISS, ChromaDB, and Amazon OpenSearch, with hybrid, semantic, and sliding-window chunking strategies to build accurate, high-relevancy retrieval pipelines. Designed multi-agent GenAI systems using LangChain, LangGraph, and MCP for claim automation, FNOL interpretation, clinical review workflows, and fraud investigation, enabling structured tool use and domain-aware decision paths. Built scalable ML and GenAI microservices using FastAPI, Docker, Kubernetes (AKS/EKS/GKE), Pydantic, and CI/CD (GitHub Actions, Terraform, Jenkins) for secure, cloud-native deployment across Azure, AWS, and GCP. Developed advanced machine learning and NLP models for fraud detection, risk scoring, forecasting, and document intelligence using PyTorch, TensorFlow, XGBoost, LightGBM, CatBoost, BERT/BioClinicalBERT, CNNs, RNNs, and NLP libraries including spaCy and NLTK. Extensive MLOps experience, implementing MLflow, SageMaker Pipelines, Vertex AI Pipelines, model monitoring, drift detection, automated retraining, and governance workflows in highly regulated industries. Implemented multimodal and document-intelligence pipelines integrating OCR, Form Recognizer, CNNs, and LLM-based extraction for ACORD forms, clinical notes, police reports, invoices, and financial narratives. Strong cloud engineering foundation across Azure (AKS, Functions, Cosmos DB), AWS (SageMaker, Lambda, Step Functions, Fargate), and GCP (Vertex AI, BigQuery, Dataflow), building reliable, production-grade AI platforms. Collaborative problem solver, partnering with claims teams, underwriters, clinicians, risk analysts, and product owners to convert complex business workflows into scalable, measurable AI and GenAI solutions.