AI Engineer with 11+ years designing scalable artificial intelligence and machine learning solutions across healthcare, finance, telecom, and government domains using Python, cloud platforms, enterprise data architectures. Expert in Generative AI architectures including RAG, vector search, semantic retrieval, prompt engineering, and LLM orchestration using Azure OpenAI, Lang Chain, Lang Graph, Auto Gen, and Crew AI frameworks. Proven experience building enterprise RAG platforms integrating Azure AI Search, embeddings, hybrid search, re ranking, and evaluation pipelines enabling knowledge retrieval, grounded responses, and compliance ready AI systems. Strong expertise developing agentic AI and multi agent systems with tool calling, workflow orchestration, and automated remediation using AutoGen, CrewAI, Python microservices, and secure enterprise APIs for automation. Hands on experience implementing secure AI platforms using Azure API Management, Entra ID, RBAC, managed identities, and Key Vault ensuring enterprise grade authentication, authorization, and governance across environments. Experienced designing scalable AI microservices and REST APIs using FastAPI, Python, Docker, and Kubernetes enabling high availability model inference, automation services, and enterprise integrations.

Adithya Chaitanya

AI Engineer with 11+ years designing scalable artificial intelligence and machine learning solutions across healthcare, finance, telecom, and government domains using Python, cloud platforms, enterprise data architectures. Expert in Generative AI architectures including RAG, vector search, semantic retrieval, prompt engineering, and LLM orchestration using Azure OpenAI, Lang Chain, Lang Graph, Auto Gen, and Crew AI frameworks. Proven experience building enterprise RAG platforms integrating Azure AI Search, embeddings, hybrid search, re ranking, and evaluation pipelines enabling knowledge retrieval, grounded responses, and compliance ready AI systems. Strong expertise developing agentic AI and multi agent systems with tool calling, workflow orchestration, and automated remediation using AutoGen, CrewAI, Python microservices, and secure enterprise APIs for automation. Hands on experience implementing secure AI platforms using Azure API Management, Entra ID, RBAC, managed identities, and Key Vault ensuring enterprise grade authentication, authorization, and governance across environments. Experienced designing scalable AI microservices and REST APIs using FastAPI, Python, Docker, and Kubernetes enabling high availability model inference, automation services, and enterprise integrations.

Available to hire

AI Engineer with 11+ years designing scalable artificial intelligence and machine learning solutions across healthcare, finance, telecom, and government domains using Python, cloud platforms, enterprise data architectures. Expert in Generative AI architectures including RAG, vector search, semantic retrieval, prompt engineering, and LLM orchestration using Azure OpenAI, Lang Chain, Lang Graph, Auto Gen, and Crew AI frameworks. Proven experience building enterprise RAG platforms integrating Azure AI Search, embeddings, hybrid search, re ranking, and evaluation pipelines enabling knowledge retrieval, grounded responses, and compliance ready AI systems. Strong expertise developing agentic AI and multi agent systems with tool calling, workflow orchestration, and automated remediation using AutoGen, CrewAI, Python microservices, and secure enterprise APIs for automation. Hands on experience implementing secure AI platforms using Azure API Management, Entra ID, RBAC, managed identities, and Key Vault ensuring enterprise grade authentication, authorization, and governance across environments. Experienced designing scalable AI microservices and REST APIs using FastAPI, Python, Docker, and Kubernetes enabling high availability model inference, automation services, and enterprise integrations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

AI Engineer at HCA Healthcare
February 1, 2025 - Present
Architected enterprise-grade RAG platforms using Azure OpenAI and Azure AI Search, enabling fraud detection and compliance intelligence through hybrid retrieval, semantic ranking, grounded answer generation, and auditable citation workflows. Designed large-scale document ingestion pipelines, developed multi-agent orchestration with Lang Graph and AutoGen, and built secure tool servers with RBAC-based access. Implemented retrieval-grounded responses, tool calling, and governance features; established observability with Application Insights and Log Analytics.
Data Scientist & Gen AI with ML at CitiBank
July 1, 2022 - January 1, 2025
Developed transformer-based NLP solutions (BERT, GPT, T5) for summarization, QA, and classification; built agentic AI apps with AWS Bedrock and LangChain for banking support; implemented serverless GenAI workflows on AWS Lambda; established end-to-end MLOps with MLflow and Kubeflow; deployed enterprise inference services; performed feature engineering and fraud/risk modeling; built robust data pipelines and monitoring.
Data Scientist & Machine Learning at State of Kentucky
October 1, 2020 - June 1, 2022
Performed exploratory analysis, dashboarding, and forecasting; built feature engineering pipelines; developed deep learning prototypes; established end-to-end ML workflows with AWS SageMaker and Azure ML; implemented ML Ops and orchestration with Apache Airflow; delivered analytics solutions supporting healthcare and operations planning.
Data Scientist at Comcast
September 1, 2017 - September 1, 2020
Designed scalable cloud data solutions on Google Cloud Platform (GCS, BigQuery); built end-to-end ETL workflows; deployed ML models with Google AI Platform; developed cross-system telecom data integrations; contributed to enterprise data architecture planning; prototyped analytics data hubs; built dashboards with Data Studio; supported telecom analytics.
Python Developer at Accenture
June 1, 2014 - August 1, 2017
Developed environment-specific configurations with Python/Django; built REST-based services with Spring Boot; implemented PySpark/Hadoop data processing workflows; created bulk ingestion with MySQL/Elasticsearch; built data tooling; front-end modules with AngularJS; implemented image processing services; contributed to data integration.

Education

Bachelor of Computer Science at Andhra University
January 11, 2030 - March 9, 2026

Qualifications

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Industry Experience

Healthcare, Financial Services, Telecommunications, Government, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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