I'm an AI/ML engineer with 11+ years of experience delivering scalable GenAI, ML, and data-centric solutions across enterprise environments. I specialize in LLMs, RAG architectures, and vector databases, leveraging platforms like AWS Bedrock, LangChain, Vertex AI, and SageMaker to ship production-grade AI apps. I enjoy translating business needs into measurable AI outcomes and building end-to-end data pipelines, feature stores, and intelligent conversational interfaces. I thrive in cross-functional teams, mentoring junior engineers, and driving production readiness through robust CI/CD, governance, and observability. My work spans cloud-native ecosystems (AWS, Azure, GCP), real-time streaming, data lakehouse architectures, and NLP-driven copilots that empower decision-makers with actionable insights.

Renuka Sandati

I'm an AI/ML engineer with 11+ years of experience delivering scalable GenAI, ML, and data-centric solutions across enterprise environments. I specialize in LLMs, RAG architectures, and vector databases, leveraging platforms like AWS Bedrock, LangChain, Vertex AI, and SageMaker to ship production-grade AI apps. I enjoy translating business needs into measurable AI outcomes and building end-to-end data pipelines, feature stores, and intelligent conversational interfaces. I thrive in cross-functional teams, mentoring junior engineers, and driving production readiness through robust CI/CD, governance, and observability. My work spans cloud-native ecosystems (AWS, Azure, GCP), real-time streaming, data lakehouse architectures, and NLP-driven copilots that empower decision-makers with actionable insights.

Available to hire

I’m an AI/ML engineer with 11+ years of experience delivering scalable GenAI, ML, and data-centric solutions across enterprise environments. I specialize in LLMs, RAG architectures, and vector databases, leveraging platforms like AWS Bedrock, LangChain, Vertex AI, and SageMaker to ship production-grade AI apps. I enjoy translating business needs into measurable AI outcomes and building end-to-end data pipelines, feature stores, and intelligent conversational interfaces.

I thrive in cross-functional teams, mentoring junior engineers, and driving production readiness through robust CI/CD, governance, and observability. My work spans cloud-native ecosystems (AWS, Azure, GCP), real-time streaming, data lakehouse architectures, and NLP-driven copilots that empower decision-makers with actionable insights.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

Afar
Advanced
Javanese
Advanced

Work Experience

Sr. GenAI/ML Engineer at Johnson & Johnson
July 1, 2023 - Present
Led the design and deployment of enterprise-grade GenAI and ML solutions using LLMs, RAG, and cloud-native platforms. Built production-grade AI chatbots and copilots via AWS Bedrock, LangChain, Vertex AI, and SageMaker, improving enterprise support efficiency by ~40%. Engineered scalable FAISS/OpenSearch-based RAG pipelines, reducing retrieval latency by ~35%. Applied prompt engineering and fine-tuning to reduce model hallucinations by over 25%. Ensured secure, compliant deployments aligned with GDPR, HIPAA, and internal governance standards.
GenAI/ML Engineer at Capital One
August 1, 2022 - July 1, 2023
Designed and deployed scalable ML pipelines for retail forecasting and personalized recommendations using Azure ML Pipelines, Databricks, and Python. Built NLP analytics on customer reviews, developed feature stores, anomaly detection, and integrated results into Power BI dashboards, contributing to improved conversions. Led data ingestion and transformation via Azure Data Factory, Delta Lake, and Delta Live Tables for reusable features and continuous training.
A=/ML/MLOps Engineer at Apple
March 1, 2020 - August 1, 2022
Developed LLM-powered NLP applications for sentiment analysis, summarization, and automation across enterprise systems. Built end-to-end ML pipelines (Azure Data Factory, Delta Lake, MLflow), deployed real-time inference endpoints, and containerized services with Docker/Kubernetes. Implemented an AI-powered hospital chatbot prototype (appointments, medication refills, triage) using spaCy and scikit-learn; deployed on AWS Lambda + API Gateway with CloudWatch monitoring. Led CI/CD pipelines for ML workflows and model optimization through quantization and pruning.
Machine Learning / Data Scientist at First Citizens' Bank
October 1, 2018 - February 1, 2020
Designed scalable data architectures and PySpark/Kafka-based streaming analytics for real-time decision support. Implemented data governance, built feature stores with Azure Synapse and Delta Live Tables, and delivered real-time anomaly detection in transaction data. Containerized ML models with Docker/Kubernetes, integrated dashboards via Power BI, and established CI/CD for data pipelines.
Data Scientist / ML Engineer at Ford Motor
March 1, 2016 - August 1, 2018
Developed automated KPI dashboards and ETL pipelines for data warehousing. Built predictive models for customer analytics, pricing optimization, and product insights; integrated Elasticsearch for real-time search and personalization. Automated end-to-end ML workflows and deployed models in cloud environments to support scalable decision-making.
Data Scientist / ML Engineer at Cigna Healthcare, India
August 1, 2014 - December 1, 2015
Developed AI-driven analytics and predictive models to support healthcare intelligence. Built ETL pipelines with SQL, Python, and Hadoop (Hive/Pig/MapReduce); implemented ML/DL models with Scikit-Learn, TensorFlow, and XGBoost; applied OpenCV and NLP enhancements for automation. Delivered dashboards using Power BI/Tableau and contributed to backend services in Java/Python; promoted data governance and scalable data processing.

Education

at Dhanekula Institute of Engineering & Technology
January 11, 2030 - July 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Manufacturing, Software & Internet, Retail