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Jeenath shaikJS
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Jeenath shaik

@jeenathshaik

AI intern at RESHAPP Software Solutions who developed an interpretable CNN/LSTM system for ECG noise classification.

India
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What I'm looking for

I’m seeking Software Development or AI-focused roles.

At RESHAPP Software Solutions Pvt Ltd, I applied machine learning and deep learning techniques to classification, regression, and prediction tasks. I also worked on natural language processing, computer vision, and automation projects using Python libraries.

I built an interpretable AI system for ECG noise classification using CNN/LSTM, with preprocessing, noise detection, and Explainable AI techniques including Grad-CAM and Saliency Maps. I’ve also developed a Django-based quiz platform and a JavaFX expense tracker with MySQL integration.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

SC

SVR Engineering College

B.Tech, Computer Science & Engineering (AI)

Grade: 82%

Pursuing a B.Tech in Computer Science & Engineering (AI) with an aggregate of 82%.

AV

Amaravati Quantum Valley

Quantum Fundamentals, Quantum Fundamentals

Certification in Quantum Fundamentals, completed in February 2026.

AC

A.P Model School & College

Intermediate, Intermediate

Grade: 90%

Completed Intermediate education with 90%.

AS

A.P Model School

SSC, SSC

Grade: 98%

Completed SSC with 98%.

NA

NASSCOM

Generative AI, Generative AI

Certification in Generative AI.

GO

Google

Google Gen AI Study Jams 2024, Generative AI

Participated in Google Gen AI Study Jams 2024.

UI

UiPath

Automation Explorer, Automation

Certification in Automation Explorer.

SK

Skilldzire

Data Science Internship Program, Data Science

Completed Data Science Internship Program.

ED

Eduskills

AI & Machine Learning, AI & Machine Learning

Certification in AI & Machine Learning.

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