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Hello! I’m Priyanka Madhagoni, a 6+ year AI/ML Engineer focused on designing and optimizing machine learning models for secure environments. I specialize in large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems, delivering production-grade solutions with robust data pipelines, metadata catalogs, and ontology development to ensure data quality for training and inference. I thrive in cross-functional teams, deploying secure, scalable AI on cloud platforms (AWS GovCloud, Azure IL5+, Google Cloud). I enjoy mentoring junior engineers, documenting technical decisions clearly, and exploring cutting-edge tools to drive innovation while maintaining strong DevOps practices and stakeholder alignment.…Hello! I’m Priyanka Madhagoni, a 6+ year AI/ML Engineer focused on designing and optimizing machine learning models for secure environments. I specialize in large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems, delivering production-grade solutions with robust data pipelines, metadata catalogs, and ontology development to ensure data quality for training and inference. I thrive in cross-functional teams, deploying secure, scalable AI on cloud platforms (AWS GovCloud, Azure IL5+, Google Cloud). I enjoy mentoring junior engineers, documenting technical decisions clearly, and exploring cutting-edge tools to drive innovation while maintaining strong DevOps practices and stakeholder alignment.

Priyanka Madhagoni

AI Engineer, Data Scientist, Data Analyst, +2

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Hello! I’m Priyanka Madhagoni, a 6+ year AI/ML Engineer focused on designing and optimizing machine learning models for secure environments. I specialize in large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems, delivering production-grade solutions with robust data pipelines, metadata catalogs, and ontology development to ensure data quality for training and inference. I thrive in cross-functional teams, deploying secure, scalable AI on cloud platforms (AWS GovCloud, Azure IL5+, Google Cloud). I enjoy mentoring junior engineers, documenting technical decisions clearly, and exploring cutting-edge tools to drive innovation while maintaining strong DevOps practices and stakeholder alignment.…Hello! I’m Priyanka Madhagoni, a 6+ year AI/ML Engineer focused on designing and optimizing machine learning models for secure environments. I specialize in large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems, delivering production-grade solutions with robust data pipelines, metadata catalogs, and ontology development to ensure data quality for training and inference. I thrive in cross-functional teams, deploying secure, scalable AI on cloud platforms (AWS GovCloud, Azure IL5+, Google Cloud). I enjoy mentoring junior engineers, documenting technical decisions clearly, and exploring cutting-edge tools to drive innovation while maintaining strong DevOps practices and stakeholder alignment.

Available to hire

Hello! I’m Priyanka Madhagoni, a 6+ year AI/ML Engineer focused on designing and optimizing machine learning models for secure environments. I specialize in large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems, delivering production-grade solutions with robust data pipelines, metadata catalogs, and ontology development to ensure data quality for training and inference.

I thrive in cross-functional teams, deploying secure, scalable AI on cloud platforms (AWS GovCloud, Azure IL5+, Google Cloud). I enjoy mentoring junior engineers, documenting technical decisions clearly, and exploring cutting-edge tools to drive innovation while maintaining strong DevOps practices and stakeholder alignment.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Research AI/ML Engineer at Optum

February 1, 2024 - Present

Designed and optimized production-grade AI/ML models using Python, LLMs, and Retrieval-Augmented Generation (RAG). Led multi-agent system orchestration with LangGraph and LangChain to improve cross-platform AI capabilities. Deployed secure solutions on AWS GovCloud in compliance with government regulations and built robust data pipelines with ETL processes, metadata catalogs, and ontologies to ensure high-quality data for training and inference. Developed REST APIs and SDK integrations to streamline data-model interactions, reducing latency by 25%. Collaborated with product, security, and engineering teams following secure coding and CI/CD practices, mentored junior engineers, and evaluated AI platforms (Anthropic Gov and OpenAI Enterprise).

Applied AI/ML Engineer at Target Corporation

October 1, 2021 - July 1, 2023

Designed and implemented AI/ML models leveraging Python and LLMs, optimizing retrieval-augmented generation (RAG) to improve data retrieval accuracy by 40%. Built multi-agent orchestration systems using LangChain, deploying on AWS and Google GovCloud for secure data handling. Built and maintained data pipelines (ETL) to support AI model training and ensured data integrity. Collaborated to create REST APIs and workflows to enable efficient data exchange between data stores and models, and implemented CI/CD practices to shorten deployment cycles by 20%. Engaged in peer reviews, code audits, training sessions, and API development evaluations to enhance integration capabilities.

Machine Learning Engineer at Medtronic

August 1, 2020 - September 30, 2021

Developed and optimized machine learning models in healthcare, achieving ~35% improvement in predictive accuracy. Implemented data pipelines and ETL processes to ensure high-quality data for model training and significantly reduced data processing time. Collaborated with cross-functional teams to integrate ML solutions, created REST APIs for model deployment, and adhered to secure coding and CI/CD practices. Documented technical processes and model performance, mentored junior engineers, researched new ML frameworks, and contributed to team capability growth.

Data Scientist at Johnson & Johnson

July 1, 2019 - July 31, 2020

Developed data-driven insights using Python and statistical analysis, contributing to a 30% improvement in product development timelines. Managed and optimized data pipelines and ETL processes for analysis and model training. Collaborated to design and implement ML models, improving product performance and customer satisfaction metrics. Created REST APIs for data access, practiced secure coding and CI/CD, documented analytical processes, and communicated findings to stakeholders. Performed exploratory data analysis to identify trends and provided actionable insights, supporting training sessions and tool evaluations.