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Umesh KuriUK
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Umesh Kuri

@umeshkuri

Machine Learning & Data Science engineer focused on production-ready ML and full-stack delivery.

India
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What I'm looking for

I’m looking for a full-time role where I can build production-style ML systems, ship user-facing applications with Python, and work on applied AI like RAG and predictive modeling. I value collaboration and real-world impact.

I’m a Computer Science undergraduate specializing in Machine Learning and Data Science, building end-to-end ML solutions and full-stack web applications. I focus on turning data into reliable predictions and user-facing products.

In my AI/ML internship, I collaborated with a team to develop a health risk and disease prediction system in Python. I cleaned and preprocessed medical datasets, trained and evaluated multiple models, and built a Flask app to deliver real-time predictions.

I also created an end-to-end Student Feedback Analyser that performs sentiment classification using Scikit-learn. It includes a Flask REST API and a dashboard to visualize real-time predictions and sentiment trends.

For applied research, I built “Research GPT,” an AI research assistant using semantic search and Retrieval-Augmented Generation (RAG). I implemented REST APIs for document upload/indexing, containerized the system with Docker, and deployed it on AWS EC2 for scalable access.

Experience

Work history, roles, and key accomplishments

VF

AI/ML Intern

Visvesvaraya Research and Innovation Foundation

Aug 2024 - Mar 2025 (7 months)

Built a machine learning-based health risk and disease prediction system with a 3-member team. Cleaned medical datasets, trained and evaluated decision tree and ensemble models, and developed a Flask web application for real-time predictions.

Education

Degrees, certifications, and relevant coursework

ST

S G Balekundri Institute of Technology

Bachelor of Engineering in Computer Science, Computer Science

2022 - 2026

Grade: CGPA: 8.5/10

Pursuing a Bachelor of Engineering in Computer Science, specializing in data science and machine learning with a CGPA of 8.5/10.

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