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I am a GenAI Engineer and Data Scientist with over 10 years of industry experience, building data-driven and Generative AI solutions across healthcare, banking, and insurance to solve real business problems. I work hands-on with Large Language Models, Retrieval-Augmented Generation, and multimodal AI to deliver production-grade systems for clinical document analysis, claims processing, regulatory reporting, and customer support while prioritizing security, compliance, and scalability. I collaborate with clinicians, product managers, data engineers, and analysts to translate business needs into practical AI solutions. I focus on responsible AI with bias mitigation and explainability, excel at model evaluation and optimization (including LoRA/PEFT, quantization, pruning, and distillation), and design scalable MLOps pipelines using Docker, Kubernetes, MLflow, and cloud platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI to integrate GenAI capabilities into enterprise workflows.…I am a GenAI Engineer and Data Scientist with over 10 years of industry experience, building data-driven and Generative AI solutions across healthcare, banking, and insurance to solve real business problems. I work hands-on with Large Language Models, Retrieval-Augmented Generation, and multimodal AI to deliver production-grade systems for clinical document analysis, claims processing, regulatory reporting, and customer support while prioritizing security, compliance, and scalability. I collaborate with clinicians, product managers, data engineers, and analysts to translate business needs into practical AI solutions. I focus on responsible AI with bias mitigation and explainability, excel at model evaluation and optimization (including LoRA/PEFT, quantization, pruning, and distillation), and design scalable MLOps pipelines using Docker, Kubernetes, MLflow, and cloud platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI to integrate GenAI capabilities into enterprise workflows.

Ravindar Reddy

Data Scientist, AI Engineer, Cloud Developer, +2

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I am a GenAI Engineer and Data Scientist with over 10 years of industry experience, building data-driven and Generative AI solutions across healthcare, banking, and insurance to solve real business problems. I work hands-on with Large Language Models, Retrieval-Augmented Generation, and multimodal AI to deliver production-grade systems for clinical document analysis, claims processing, regulatory reporting, and customer support while prioritizing security, compliance, and scalability. I collaborate with clinicians, product managers, data engineers, and analysts to translate business needs into practical AI solutions. I focus on responsible AI with bias mitigation and explainability, excel at model evaluation and optimization (including LoRA/PEFT, quantization, pruning, and distillation), and design scalable MLOps pipelines using Docker, Kubernetes, MLflow, and cloud platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI to integrate GenAI capabilities into enterprise workflows.…I am a GenAI Engineer and Data Scientist with over 10 years of industry experience, building data-driven and Generative AI solutions across healthcare, banking, and insurance to solve real business problems. I work hands-on with Large Language Models, Retrieval-Augmented Generation, and multimodal AI to deliver production-grade systems for clinical document analysis, claims processing, regulatory reporting, and customer support while prioritizing security, compliance, and scalability. I collaborate with clinicians, product managers, data engineers, and analysts to translate business needs into practical AI solutions. I focus on responsible AI with bias mitigation and explainability, excel at model evaluation and optimization (including LoRA/PEFT, quantization, pruning, and distillation), and design scalable MLOps pipelines using Docker, Kubernetes, MLflow, and cloud platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI to integrate GenAI capabilities into enterprise workflows.

Available to hire

I am a GenAI Engineer and Data Scientist with over 10 years of industry experience, building data-driven and Generative AI solutions across healthcare, banking, and insurance to solve real business problems. I work hands-on with Large Language Models, Retrieval-Augmented Generation, and multimodal AI to deliver production-grade systems for clinical document analysis, claims processing, regulatory reporting, and customer support while prioritizing security, compliance, and scalability.

I collaborate with clinicians, product managers, data engineers, and analysts to translate business needs into practical AI solutions. I focus on responsible AI with bias mitigation and explainability, excel at model evaluation and optimization (including LoRA/PEFT, quantization, pruning, and distillation), and design scalable MLOps pipelines using Docker, Kubernetes, MLflow, and cloud platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI to integrate GenAI capabilities into enterprise workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Gen AI Engineer at Johnson & Johnson

July 1, 2024 - Present

Designed and deployed enterprise-grade Generative AI solutions to support clinical trials, pharmacovigilance, and medical affairs in regulated healthcare environments. Architected secure Retrieval-Augmented Generation (RAG) systems analyzing clinical trial protocols, regulatory submissions, patient records, and scientific literature with HIPAA and GxP compliance. Built LLM-powered assistants for medical document summarization, adverse event detection, safety report generation, and evidence extraction; developed end-to-end GenAI pipelines for summarization, classification, question answering, personalization, recommendation, and intelligent search. Integrated GenAI capabilities into internal healthcare platforms via Azure OpenAI and AWS Bedrock; established scalable MLOps workflows with Docker, Kubernetes, MLflow, and Weights & Biases; applied LoRA/PEFT, quantization, pruning, and distillation to optimize accuracy, latency, and cost. Led cross-functional collaboration with clinicians, m

Gen AI Data Scientist at Cisco Systems

November 1, 2022 - June 1, 2024

Designed and deployed enterprise-grade GenAI solutions for networking analytics, cybersecurity intelligence, and customer experience optimization. Owned end-to-end LLM and RAG pipelines using LangChain, Hugging Face Transformers, OpenAI APIs, and vector databases (FAISS, Pinecone, Elasticsearch) for knowledge extraction and automated insights. Implemented production-ready integrations embedding models into enterprise applications via APIs, dashboards, and chat interfaces; established prompt engineering standards and evaluation metrics; implemented retraining and monitoring pipelines to detect drift. Collaborated with software engineers and domain experts to translate requirements into scalable AI solutions.

AI/ML Data Scientist at U.S. Bancorp

September 1, 2020 - October 1, 2022

Designed and deployed AI/ML models for risk management, fraud detection, credit scoring, and customer analytics in regulated banking environments. Built predictive and time-series models; developed NLP pipelines for text classification and embeddings; implemented recommendation systems and churn prediction. Automated ETL pipelines, model retraining, and monitoring workflows; deployed models with Docker, Kubernetes, and cloud platforms; ensured data quality, governance, and regulatory compliance; mentored junior data scientists and engineers.

Data Scientist at MetLife

October 1, 2018 - August 1, 2020

Delivered end-to-end predictive analytics for pricing, fraud detection, and risk assessment on large insurance datasets. Performed feature engineering on structured and unstructured data, applied NLP for claims documents and agent communications, and built models using logistic regression, random forests, gradient boosting, and neural networks. Deployed models via scalable pipelines and REST services; built dashboards and reports; implemented model monitoring and governance to meet regulatory and audit requirements.

Python Developer at Innova Solutions

May 1, 2015 - June 1, 2018

Designed and implemented Python-based applications for data processing, automation, and enterprise reporting; engineered ETL pipelines with validation and preprocessing; built RESTful APIs and data integrations; developed dashboards for data-driven decision-making; collaborated in Agile environments and mentored junior developers.