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I am a Senior Generative AI / Machine Learning Engineer with 10+ years of experience building enterprise-scale AI, Generative AI, ML, data engineering, and cloud solutions across Healthcare, Banking, Telecommunications, and Financial Services. I design and deploy production-grade Agentic AI, Multi-Agent Systems, and RAG architectures using OpenAI GPT-4o/5, Claude, Gemini, LangChain, LangGraph, LlamaIndex, Semantic Kernel, and AWS Bedrock. I lead cross-functional teams, define AI roadmaps, and drive architectural decisions to deliver scalable cloud-native solutions on AWS, Azure, and GCP. I specialize in MLOps/LLMOps, AI governance, Responsible AI, model monitoring, vector databases, knowledge graphs, and enterprise software development with Python, FastAPI, PySpark, Spark, Kafka, Kubernetes, and Terraform. I focus on delivering measurable business impact, improving operational efficiency, reducing costs, and enabling large-scale enterprise transformation while mentoring peers and promoting reusable accelerators.…I am a Senior Generative AI / Machine Learning Engineer with 10+ years of experience building enterprise-scale AI, Generative AI, ML, data engineering, and cloud solutions across Healthcare, Banking, Telecommunications, and Financial Services. I design and deploy production-grade Agentic AI, Multi-Agent Systems, and RAG architectures using OpenAI GPT-4o/5, Claude, Gemini, LangChain, LangGraph, LlamaIndex, Semantic Kernel, and AWS Bedrock. I lead cross-functional teams, define AI roadmaps, and drive architectural decisions to deliver scalable cloud-native solutions on AWS, Azure, and GCP. I specialize in MLOps/LLMOps, AI governance, Responsible AI, model monitoring, vector databases, knowledge graphs, and enterprise software development with Python, FastAPI, PySpark, Spark, Kafka, Kubernetes, and Terraform. I focus on delivering measurable business impact, improving operational efficiency, reducing costs, and enabling large-scale enterprise transformation while mentoring peers and promoting reusable accelerators.

Usha Rasale

AI Engineer, AI Developer, Data Scientist, +2

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I am a Senior Generative AI / Machine Learning Engineer with 10+ years of experience building enterprise-scale AI, Generative AI, ML, data engineering, and cloud solutions across Healthcare, Banking, Telecommunications, and Financial Services. I design and deploy production-grade Agentic AI, Multi-Agent Systems, and RAG architectures using OpenAI GPT-4o/5, Claude, Gemini, LangChain, LangGraph, LlamaIndex, Semantic Kernel, and AWS Bedrock. I lead cross-functional teams, define AI roadmaps, and drive architectural decisions to deliver scalable cloud-native solutions on AWS, Azure, and GCP. I specialize in MLOps/LLMOps, AI governance, Responsible AI, model monitoring, vector databases, knowledge graphs, and enterprise software development with Python, FastAPI, PySpark, Spark, Kafka, Kubernetes, and Terraform. I focus on delivering measurable business impact, improving operational efficiency, reducing costs, and enabling large-scale enterprise transformation while mentoring peers and promoting reusable accelerators.…I am a Senior Generative AI / Machine Learning Engineer with 10+ years of experience building enterprise-scale AI, Generative AI, ML, data engineering, and cloud solutions across Healthcare, Banking, Telecommunications, and Financial Services. I design and deploy production-grade Agentic AI, Multi-Agent Systems, and RAG architectures using OpenAI GPT-4o/5, Claude, Gemini, LangChain, LangGraph, LlamaIndex, Semantic Kernel, and AWS Bedrock. I lead cross-functional teams, define AI roadmaps, and drive architectural decisions to deliver scalable cloud-native solutions on AWS, Azure, and GCP. I specialize in MLOps/LLMOps, AI governance, Responsible AI, model monitoring, vector databases, knowledge graphs, and enterprise software development with Python, FastAPI, PySpark, Spark, Kafka, Kubernetes, and Terraform. I focus on delivering measurable business impact, improving operational efficiency, reducing costs, and enabling large-scale enterprise transformation while mentoring peers and promoting reusable accelerators.

Available to hire

I am a Senior Generative AI / Machine Learning Engineer with 10+ years of experience building enterprise-scale AI, Generative AI, ML, data engineering, and cloud solutions across Healthcare, Banking, Telecommunications, and Financial Services. I design and deploy production-grade Agentic AI, Multi-Agent Systems, and RAG architectures using OpenAI GPT-4o/5, Claude, Gemini, LangChain, LangGraph, LlamaIndex, Semantic Kernel, and AWS Bedrock. I lead cross-functional teams, define AI roadmaps, and drive architectural decisions to deliver scalable cloud-native solutions on AWS, Azure, and GCP.

I specialize in MLOps/LLMOps, AI governance, Responsible AI, model monitoring, vector databases, knowledge graphs, and enterprise software development with Python, FastAPI, PySpark, Spark, Kafka, Kubernetes, and Terraform. I focus on delivering measurable business impact, improving operational efficiency, reducing costs, and enabling large-scale enterprise transformation while mentoring peers and promoting reusable accelerators.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Gen AI Engineer at Cigna Healthcare

May 1, 2025 - Present

Architected an enterprise Agentic AI platform leveraging GPT-5, Claude, LangGraph, and Azure OpenAI to automate healthcare billing intelligence. Designed scalable GraphRAG and Agentic RAG frameworks with Pinecone, Neo4j, and semantic retrieval across healthcare datasets. Led a cross-functional team delivering enterprise Generative AI solutions for provider billing validation and fraud prevention. Established AI architecture roadmap, governance standards, deployment accelerators, and MCP integrations enabling communication between enterprise applications, agents, and knowledge systems. Implemented MLOps and observability pipelines; optimized inference throughput with Kubernetes and vector databases; developed advanced Knowledge Graphs for clinical decision support. Mentored engineers and championed Azure AI Foundry, AWS Bedrock adoption. Built real-time event platforms with Kafka and PySpark; promoted Responsible AI and regulatory compliance.

Senior AI/ML Engineer at Citi Group

September 1, 2023 - April 1, 2025

Orchestrated enterprise Generative AI capabilities delivering personalized investment insights via GPT-4, LangChain, and financial intelligence platforms. Modernized advisory workflows with Agentic AI frameworks; created intelligent recommendation engines leveraging ML, LLMs, and behavioral analytics to elevate client engagement. Coordinated multi-agent processes for portfolio reviews, market research, risk assessments, and investment strategy generation. Built scalable RAG solutions integrating market reports and client portfolios with semantic retrieval. Implemented real-time financial intelligence pipelines using Kafka and PySpark; evaluated portfolio risk with XGBoost and TensorFlow. Led AI governance, automated monitoring, and production reliability standards. Accelerated cloud adoption (AWS/Azure/Kubernetes) and delivered reusable accelerators. Expanded data accessibility via Text-to-SQL and vector databases. Drove architecture governance, security/compliance, and cross-functiona

AI/ML Engineer at AT&T

March 1, 2022 - August 1, 2023

Led Conversational AI programs across large telecom operations. Built advanced Intent Classification frameworks using BERT/Transformers; extracted intents, sentiment, and patterns from millions of support interactions. Delivered Agent Assist capabilities with contextual recommendations and real-time guidance. Implemented streaming analytics with Kafka and Spark; developed semantic retrieval with FAISS and embeddings; deployed real-time conversational intelligence via Python and FastAPI. Managed MLOps with MLflow; conducted solution reviews ensuring scalability, security, and performance. Facilitated collaboration across engineering, operations, and product teams to deliver AI-powered customer experiences.

Senior Data Scientist at Fifth Third Bank

August 1, 2018 - November 1, 2021

Architected enterprise Credit Risk Analytics enabling proactive identification of high-risk accounts through predictive modeling. Built Early Warning Systems leveraging behavioral patterns, transaction trends, and financial indicators. Employed ML algorithms including Random Forest, Gradient Boosting, and Logistic Regression; engineered robust features, developed ETL pipelines, and delivered dashboards for portfolio monitoring. Led model validation (ROC-AUC, CV, KS) and monitoring; collaborated with risk managers and analysts to translate findings into lending strategies; explored NLP on unstructured data to identify risk patterns.

Data Scientist at Apollo Hospitals

April 1, 2016 - June 1, 2018

Developed predictive models for clinical coding assistance and denial prevention. Built data pipelines for clinical records, billing, and patient data; performed data cleaning and preprocessing; applied NLP techniques (NLTK) for clinical coding support. Conducted EDA, engineered domain-driven features, and combined rule-based approaches with ML models. Created reporting solutions with SQL dashboards and supported deployment via Python scripts and batch processing; explored early AI use cases in healthcare documentation.