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Hi, I’m Prathamesh Uravane, an AI Engineer and Applied ML graduate student at the University of Maryland. I have hands-on experience designing and deploying AI agents, RAG pipelines, generative AI applications, and end-to-end ML systems for real-world business clients. I enjoy turning complex problems into automated, scalable solutions and collaborating across cross-functional teams to deliver production-ready backends and AI-powered workflows. I excel at automating workflows, integrating LLMs into operational processes, and contributing to research with a publication record across healthcare AI and predictive analytics. I’m passionate about translating scientific insights into practical tools that empower users and organizations to operate more efficiently.…Hi, I’m Prathamesh Uravane, an AI Engineer and Applied ML graduate student at the University of Maryland. I have hands-on experience designing and deploying AI agents, RAG pipelines, generative AI applications, and end-to-end ML systems for real-world business clients. I enjoy turning complex problems into automated, scalable solutions and collaborating across cross-functional teams to deliver production-ready backends and AI-powered workflows. I excel at automating workflows, integrating LLMs into operational processes, and contributing to research with a publication record across healthcare AI and predictive analytics. I’m passionate about translating scientific insights into practical tools that empower users and organizations to operate more efficiently.

Prathamesh Uravane

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

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Hi, I’m Prathamesh Uravane, an AI Engineer and Applied ML graduate student at the University of Maryland. I have hands-on experience designing and deploying AI agents, RAG pipelines, generative AI applications, and end-to-end ML systems for real-world business clients. I enjoy turning complex problems into automated, scalable solutions and collaborating across cross-functional teams to deliver production-ready backends and AI-powered workflows. I excel at automating workflows, integrating LLMs into operational processes, and contributing to research with a publication record across healthcare AI and predictive analytics. I’m passionate about translating scientific insights into practical tools that empower users and organizations to operate more efficiently.…Hi, I’m Prathamesh Uravane, an AI Engineer and Applied ML graduate student at the University of Maryland. I have hands-on experience designing and deploying AI agents, RAG pipelines, generative AI applications, and end-to-end ML systems for real-world business clients. I enjoy turning complex problems into automated, scalable solutions and collaborating across cross-functional teams to deliver production-ready backends and AI-powered workflows. I excel at automating workflows, integrating LLMs into operational processes, and contributing to research with a publication record across healthcare AI and predictive analytics. I’m passionate about translating scientific insights into practical tools that empower users and organizations to operate more efficiently.

Available to hire

Hi, I’m Prathamesh Uravane, an AI Engineer and Applied ML graduate student at the University of Maryland. I have hands-on experience designing and deploying AI agents, RAG pipelines, generative AI applications, and end-to-end ML systems for real-world business clients. I enjoy turning complex problems into automated, scalable solutions and collaborating across cross-functional teams to deliver production-ready backends and AI-powered workflows.

I excel at automating workflows, integrating LLMs into operational processes, and contributing to research with a publication record across healthcare AI and predictive analytics. I’m passionate about translating scientific insights into practical tools that empower users and organizations to operate more efficiently.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Universidad María Auxiliadora

April 1, 2024 - June 1, 2025

Designed and deployed an AI-powered virtual lab simulator as an automated workflow system: collected student interaction data, processed it through an NLP feedback pipeline, and surfaced insights to instructors — increasing student engagement by 34%. Built and integrated a real-time student attentiveness monitoring agent using computer vision (face detection, face recognition, facial landmark analysis), automating assessment data collection for remote classes and reducing manual review time by ~70%.

Student Researcher Intern at Energy Research Institute @ NTU

January 1, 2024 - March 1, 2024

Implemented a GAN-based generative AI model to synthesize realistic road scenarios, automating the generation of training data for autonomous vehicle perception systems, reducing manual data collection overhead.

AI Engineer Intern at Yod da Elder Care Technologies

July 1, 2023 - December 1, 2023

Developed an OpenCV-based fall-detection AI agent with 95% accuracy using pose estimation and pose classification, integrated with automated alarm triggering and snapshot delivery — eliminating manual monitoring for elderly care facilities. Delivered a fully documented backend system in Python with integration guides for client deployment, enabling the client team to maintain and extend the solution independently.

Student Researcher at VU Research Centre — Health Informatics

June 1, 2022 - August 1, 2022

Trained and evaluated a CNN model for brain tumor classification from MRI images achieving 96% accuracy; produced documentation of the model pipeline and performance metrics for the research team.