I am an AI/ML Engineer with 4.5 years of experience designing and deploying scalable ML solutions across healthcare, legal, and enterprise environments. I enjoy turning complex data into practical, high-impact outcomes and collaborating with cross-functional teams to drive data-informed decisions. I specialize in end-to-end ML systems, including predictive modeling, NLP applications, and Retrieval-Augmented Generation (RAG) pipelines using LangChain and Hugging Face. I am proficient in Python, PySpark, and cloud platforms (AWS, GCP), and I follow MLOps practices—CI/CD, Docker, Kubernetes, and MLflow—to ensure reliable production deployments and compliance while delivering low-latency analytics.

Dhanush Chepuri

I am an AI/ML Engineer with 4.5 years of experience designing and deploying scalable ML solutions across healthcare, legal, and enterprise environments. I enjoy turning complex data into practical, high-impact outcomes and collaborating with cross-functional teams to drive data-informed decisions. I specialize in end-to-end ML systems, including predictive modeling, NLP applications, and Retrieval-Augmented Generation (RAG) pipelines using LangChain and Hugging Face. I am proficient in Python, PySpark, and cloud platforms (AWS, GCP), and I follow MLOps practices—CI/CD, Docker, Kubernetes, and MLflow—to ensure reliable production deployments and compliance while delivering low-latency analytics.

Available to hire

I am an AI/ML Engineer with 4.5 years of experience designing and deploying scalable ML solutions across healthcare, legal, and enterprise environments. I enjoy turning complex data into practical, high-impact outcomes and collaborating with cross-functional teams to drive data-informed decisions.

I specialize in end-to-end ML systems, including predictive modeling, NLP applications, and Retrieval-Augmented Generation (RAG) pipelines using LangChain and Hugging Face. I am proficient in Python, PySpark, and cloud platforms (AWS, GCP), and I follow MLOps practices—CI/CD, Docker, Kubernetes, and MLflow—to ensure reliable production deployments and compliance while delivering low-latency analytics.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Data Scientist at VMware
July 1, 2019 - July 1, 2023
Developed machine learning models for network analytics and security analytics, handling large-scale data processing on AWS and Google Cloud Platform. Built predictive security analytics using supervised learning, improved endpoint protection, and deployed models and infrastructure at scale with Spark, Hadoop, and MLflow. Led AI/ML initiatives across on-prem and cloud environments.

Education

Master in Information Studies at Trine University
August 1, 2023 - August 1, 2025

Qualifications

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Industry Experience

Healthcare, Life Sciences, Professional Services, Software & Internet, Media & Entertainment