Available to hire
I’m Sainadh, a Senior AI/ML & Generative AI Engineer with 11+ years of experience building intelligent, scalable, and cloud-native enterprise solutions across FinTech, Healthcare, Banking, and Retail. I enjoy turning complex data into practical, AI-powered decisions while ensuring governance, security, and reliability.
I’m passionate about Retrieval-Augmented Generation, semantic search, and enterprise knowledge retrieval, and I love collaborating with data scientists, product teams, and engineers to deliver impactful AI solutions that align with business goals.
Skills
Experience Level
Work Experience
Senior AI/ML & Generative AI Engineer at Credit Karma
November 1, 2024 - PresentDesigned and delivered enterprise Generative AI applications leveraging Python, OpenAI, Azure OpenAI, AWS Bedrock, LangChain, and LangGraph to enable financial intelligence, customer assistance, transaction insights, and AI-driven recommendations. Built Retrieval-Augmented Generation (RAG) pipelines with OpenSearch k-NN, pgvector, and vector embeddings to improve accuracy and contextual relevance. Developed secure LLM inference and conversational AI microservices using FastAPI, exposing APIs across cloud-native platforms. Implemented agentic AI workflows for multi-step reasoning and autonomous task execution. Established robust prompt engineering, guardrails, and grounding for reliable, explainable results. Fine-tuned and evaluated open-source LLMs and embeddings to boost performance. Implemented fraud detection, anomaly detection, and risk intelligence leveraging ML models and streaming data. Engineered large-scale feature engineering and data pipelines with PySpark, Spark SQL, Kafka
Senior AI/ML Engineer at Optum
July 1, 2022 - October 1, 2024Developed AI/ML solutions using Python, TensorFlow, PyTorch, Azure Machine Learning to improve member engagement, care management, population health outcomes, and operational efficiency. Built predictive models for member risk stratification, hospital readmission, chronic disease management, and utilization forecasting. Designed NLP-powered healthcare intelligence solutions using Azure OpenAI, Hugging Face Transformers, and semantic search to support clinical document analysis. Developed AI-enabled healthcare applications for care navigation, provider interactions, and personalized recommendations. Built FastAPI/Flask-based AI microservices exposing recommendation engines, predictive analytics, risk-scoring models, and healthcare intelligence capabilities. Implemented end-to-end MLOps using Azure ML, MLflow, Docker, Kubernetes (AKS), Azure DevOps, and Jenkins. Built healthcare data pipelines using PySpark, Spark SQL, Kafka, and Azure Data Factory. Implemented model evaluation, inferenc
Sr Machine Learning Engineer at Best Buy
February 1, 2021 - June 1, 2022Developed ML solutions for customer segmentation, product recommendations, demand forecasting, and purchase behavior analysis. Built real-time analytics and event-driven pipelines using Kafka to process customer activities and transactions for low-latency decisions. Created REST APIs and ML services with Python/Flask to expose recommendation, prediction, and customer intelligence capabilities across enterprise retail applications. Implemented model evaluation, validation, and monitoring frameworks to ensure accuracy and reliability. Automated model deployment and releases via Docker, Jenkins, and CI/CD pipelines. Collaborated with product, marketing, and data teams to deliver AI-powered retail insights and growth initiatives.
Machine Learning Engineer at Citi Bank
June 1, 2019 - February 1, 2021Developed models to detect fraudulent transactions, identify anomalous customer behavior, and enhance transaction risk assessment across banking platforms. Built predictive risk-scoring models for fraud prevention, transaction validation, and account risk classification. Designed data preparation and feature engineering pipelines to support model training and inference. Implemented anomaly detection for suspicious transaction patterns and emerging fraud trends. Built real-time transaction monitoring pipelines with Kafka for low-latency fraud detection and alerting. Exposed fraud scoring and risk intelligence via REST APIs. Collaborated with fraud analysts and compliance teams to ensure robust production readiness.
Senior Data Engineer at Visa
July 1, 2017 - January 1, 2019Developed and maintained data integration and ETL pipelines to process high-volume payment transactions and financial datasets. Built batch processing workflows to validate, cleanse, and transform payment data for reporting and operational analytics. Designed optimized SQL queries, stored procedures, and data models to boost transaction reporting performance. Implemented automated data quality checks and reconciliation processes to identify missing or duplicate records. Provided production support and troubleshooting for data pipelines, ensuring reliable data availability for analytics.
Data Engineer at Eli Lilly
September 1, 2014 - June 1, 2017Developed and maintained ETL/data integration pipelines to support healthcare, operational, and pharmaceutical analytics. Built data extraction, transformation, validation workflows to consolidate data from multiple sources. Optimized SQL queries and data transformations for healthcare reporting and analytics. Automated recurring data processing, reporting, and quality validation tasks. Collaborated with business users to gather requirements and deliver scalable data solutions.
Education
Qualifications
Industry Experience
Financial Services, Healthcare, Retail, Software & Internet
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Experience Level
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