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I am a Senior Gen AI/ML Engineer with 10+ years of experience delivering scalable AI platforms in finance, healthcare, and retail. I architect end-to-end AI/ML solutions, from data ingestion and modeling to deployment and production support, with a strong focus on GenAI, RAG, and governance. I specialize in building LLM-powered apps, agentic workflows, and MLOps on AWS and cloud-native stacks, delivering measurable business impact while maintaining security, compliance, and scalability. I enjoy mentoring teams and translating complex business needs into robust, production-ready AI systems.…I am a Senior Gen AI/ML Engineer with 10+ years of experience delivering scalable AI platforms in finance, healthcare, and retail. I architect end-to-end AI/ML solutions, from data ingestion and modeling to deployment and production support, with a strong focus on GenAI, RAG, and governance. I specialize in building LLM-powered apps, agentic workflows, and MLOps on AWS and cloud-native stacks, delivering measurable business impact while maintaining security, compliance, and scalability. I enjoy mentoring teams and translating complex business needs into robust, production-ready AI systems.

Keerthi Kondapuram

AI Engineer, Data Scientist, AI Developer, +2

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I am a Senior Gen AI/ML Engineer with 10+ years of experience delivering scalable AI platforms in finance, healthcare, and retail. I architect end-to-end AI/ML solutions, from data ingestion and modeling to deployment and production support, with a strong focus on GenAI, RAG, and governance. I specialize in building LLM-powered apps, agentic workflows, and MLOps on AWS and cloud-native stacks, delivering measurable business impact while maintaining security, compliance, and scalability. I enjoy mentoring teams and translating complex business needs into robust, production-ready AI systems.…I am a Senior Gen AI/ML Engineer with 10+ years of experience delivering scalable AI platforms in finance, healthcare, and retail. I architect end-to-end AI/ML solutions, from data ingestion and modeling to deployment and production support, with a strong focus on GenAI, RAG, and governance. I specialize in building LLM-powered apps, agentic workflows, and MLOps on AWS and cloud-native stacks, delivering measurable business impact while maintaining security, compliance, and scalability. I enjoy mentoring teams and translating complex business needs into robust, production-ready AI systems.

Available to hire

I am a Senior Gen AI/ML Engineer with 10+ years of experience delivering scalable AI platforms in finance, healthcare, and retail. I architect end-to-end AI/ML solutions, from data ingestion and modeling to deployment and production support, with a strong focus on GenAI, RAG, and governance.

I specialize in building LLM-powered apps, agentic workflows, and MLOps on AWS and cloud-native stacks, delivering measurable business impact while maintaining security, compliance, and scalability. I enjoy mentoring teams and translating complex business needs into robust, production-ready AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior Gen AI/ML Engineer at Charles Schwab Corporation

January 1, 2024 - Present

Designed and delivered an enterprise AI-Driven Risk Modeling Platform enabling advisor-ready insights, automated risk explanations, and GenAI workflows. Built secure MCP servers and tool-calling workflows to connect LLM agents with client profiles, portfolio data, market signals, and risk scoring services. Developed production-grade ML risk models and MLOps pipelines using Python, XGBoost, PySpark, AWS SageMaker, Docker, and Kubernetes. Implemented RAG pipelines with embeddings, vector databases, OpenSearch, and LangChain; created MCP-based tool calling with FastAPI to trigger real-time risk analysis. Enforced LLM guardrails, PII masking, IAM/RBAC, and monitoring dashboards (CloudWatch, Prometheus, Grafana). Led automated CI/CD, MLflow model governance, and mentor engineers.

Senior AI/ML Engineer at UnitedHealth Group

April 1, 2021 - December 1, 2023

Led AI-driven healthcare risk analytics platform enabling proactive care management. Built predictive risk scoring models using XGBoost/Scikit-learn and scalable ETL/ELT pipelines with PySpark/SQL. Implemented NLP/RAG workflows to summarize patient history, claims, and clinical notes; integrated vector databases and secure MCP for LLM interactions. Established MLOps/LLMOps pipelines with Docker, Kubernetes, CI/CD, MLflow, and HIPAA-compliant controls; designed MCP servers and tool-calling flows to support clinical decision support. Created dashboards and monitoring for model performance and data quality.

Data Machine Learning Engineer at Safeway Inc.

October 1, 2019 - March 1, 2021

Built retail AI platform for personalized recommendations and demand forecasting. Developed recommendation engines (collaborative filtering, content-based) and time-series models (ARIMA, Prophet, XGBoost) for inventory planning. Implemented scalable ETL pipelines with PySpark/SQL/Airflow; delivered production-grade models via Docker, CI/CD, and monitoring. Collaborated with merchandising and analytics teams to translate business needs into ML solutions.

Python Developer at Newton Software Pvt Ltd

April 1, 2018 - September 1, 2019

Developed intelligent text analytics and customer support automation. Built NLP pipelines (NLTK, SpaCy) for ticket classification, sentiment analysis, and keyword extraction; created Flask APIs exposing NLP features. Implemented ETL to process emails and chat logs; supported dashboards and reporting. Collaborated with QA and product teams to deliver reliable Python applications and automation workflows.

Data Engineer at Tridhya Tech

June 1, 2016 - March 1, 2018

Led data analytics & ML reporting platform; designed scalable ETL pipelines; created feature-ready datasets; automated dashboards using Tableau/Power BI. Implemented data validation and quality checks; supported early-stage ML reporting; collaborated with business stakeholders to drive data-driven decisions.