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Hi, I’m Pranav Konreddy, a Senior Azure AI / Generative AI Engineer with 10+ years designing enterprise AI platforms across financial services, healthcare, and retail. I specialize in secure, production-grade GenAI solutions using Python, Azure OpenAI Service, LangChain, Semantic Kernel, and multi-agent orchestration frameworks. I thrive on turning complex business problems into scalable AI solutions with strong governance, observability, and compliance. I focus on Retrieval-Augmented Generation, prompt-engineered assistants, and enterprise automation, with a strong emphasis on Responsible AI, governance, observability, and auditable outputs to enable safe, scalable adoption across regulated environments.…Hi, I’m Pranav Konreddy, a Senior Azure AI / Generative AI Engineer with 10+ years designing enterprise AI platforms across financial services, healthcare, and retail. I specialize in secure, production-grade GenAI solutions using Python, Azure OpenAI Service, LangChain, Semantic Kernel, and multi-agent orchestration frameworks. I thrive on turning complex business problems into scalable AI solutions with strong governance, observability, and compliance. I focus on Retrieval-Augmented Generation, prompt-engineered assistants, and enterprise automation, with a strong emphasis on Responsible AI, governance, observability, and auditable outputs to enable safe, scalable adoption across regulated environments.

Pranav Konreddy

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Pranav Konreddy, a Senior Azure AI / Generative AI Engineer with 10+ years designing enterprise AI platforms across financial services, healthcare, and retail. I specialize in secure, production-grade GenAI solutions using Python, Azure OpenAI Service, LangChain, Semantic Kernel, and multi-agent orchestration frameworks. I thrive on turning complex business problems into scalable AI solutions with strong governance, observability, and compliance. I focus on Retrieval-Augmented Generation, prompt-engineered assistants, and enterprise automation, with a strong emphasis on Responsible AI, governance, observability, and auditable outputs to enable safe, scalable adoption across regulated environments.…Hi, I’m Pranav Konreddy, a Senior Azure AI / Generative AI Engineer with 10+ years designing enterprise AI platforms across financial services, healthcare, and retail. I specialize in secure, production-grade GenAI solutions using Python, Azure OpenAI Service, LangChain, Semantic Kernel, and multi-agent orchestration frameworks. I thrive on turning complex business problems into scalable AI solutions with strong governance, observability, and compliance. I focus on Retrieval-Augmented Generation, prompt-engineered assistants, and enterprise automation, with a strong emphasis on Responsible AI, governance, observability, and auditable outputs to enable safe, scalable adoption across regulated environments.

Available to hire

Hi, I’m Pranav Konreddy, a Senior Azure AI / Generative AI Engineer with 10+ years designing enterprise AI platforms across financial services, healthcare, and retail. I specialize in secure, production-grade GenAI solutions using Python, Azure OpenAI Service, LangChain, Semantic Kernel, and multi-agent orchestration frameworks. I thrive on turning complex business problems into scalable AI solutions with strong governance, observability, and compliance.

I focus on Retrieval-Augmented Generation, prompt-engineered assistants, and enterprise automation, with a strong emphasis on Responsible AI, governance, observability, and auditable outputs to enable safe, scalable adoption across regulated environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at American Express

February 1, 2025 - Present

Architected and implemented an enterprise GenAI platform on Azure OpenAI with LangChain and Semantic Kernel to support customer service, knowledge retrieval, and risk workflows. Built multi-agent orchestration (LangGraph, CrewAI) and RAG pipelines over large internal document repositories. Deployed scalable FastAPI microservices on AKS, enabling governed, secure, and auditable AI adoption across business teams. Implemented prompt strategies, grounding, and validation to improve output reliability and reduce hallucinations. Established observability and monitoring to ensure production readiness.

AI/ML Engineer at Elevance Health

May 1, 2023 - January 1, 2025

Developed AI/ML decision support and document intelligence systems for healthcare operations across claims, member services, provider workflows, and policy intelligence. Built RAG-based retrieval and policy lookup, OCR ingestion, embedding pipelines, and anomaly detection; improved structured data coverage by 35%+. Deployed FastAPI APIs for LLM-powered applications and secured ML services on AWS SageMaker, Lambda, and EKS with healthcare-compliant data handling. Collaborated with cross-functional teams to productionize governed AI solutions and built monitoring dashboards.

Data Scientist at Kroger

November 1, 2021 - April 1, 2023

Built scalable data integration and automation frameworks using Python, SQL, Alteryx, Teradata in AWS/Linux environments. Developed data movement pipelines, automated recurring tasks, supported LDAP/AD integrations, and standardized deployment processes to improve reliability and efficiency. Implemented tooling for data quality, release management, and documentation. Collaborated with business and technical teams to translate requirements into robust enterprise data solutions.

Data Scientist at Comcast

June 1, 2019 - October 1, 2021

Designed NLP-based scientific literature search and text analytics engine to process large volumes of structured and unstructured text. Implemented entity recognition, relation extraction, topic modeling, semantic search, and summarization to help research teams identify relevant information. Built preprocessing pipelines, trained models, and produced repeatable experimentation workflows; delivered faster, more accurate document analysis.

Data Analyst at Lowe's

August 1, 2017 - May 1, 2019

Built Tableau dashboards and automated reporting for healthcare-related datasets, wrote SQL queries and SAS programs for recurring studies and validation, and consolidated data from multiple sources for ad hoc analysis. Improved reliability, usability, and delivery through reusable data preparation workflows and runbooks.

Python Developer at Charter Communications

September 1, 2014 - July 1, 2017

Developed Django-based backend applications to support internal business workflows, created reusable Python components, automated scheduled jobs, and supported testing, debugging, deployment, and maintenance activities. Improved code reuse and operational efficiency across development environments.