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Pooja Ronad

@poojaronad

Job-ready Java developer with AI/ML experience and strong full-stack fundamentals.

India
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What I'm looking for

I am seeking an entry-level software role where I can apply Java and ML skills, contribute to product development, and grow within a collaborative team.

I am a job-ready Java developer trained at JSpiders Rajajinagar with practical experience in Core Java, JDBC, Hibernate, HTML, CSS and SQL.

I have applied AI/ML techniques in academic and internship projects, including deepfake detection and cervical cancer classification, achieving reported accuracies of 85% and 95% respectively.

During an ML research internship at Compsoft Technologies, Bangalore, I built Python-based models, produced documentation for ML methodologies, and collaborated on real-world research problems under mentorship.

I am passionate about building scalable software solutions, enjoy designing clean user interfaces (Flask, Tkinter), and seek to contribute to a dynamic development team where I can grow my software engineering and ML skills.

Experience

Work history, roles, and key accomplishments

JS

Java Developer Trainee

JSpiders

Completed intensive Java Full Stack training covering Core Java, JDBC, Hibernate, web technologies and SQL to prepare for entry-level development roles.

Education

Degrees, certifications, and relevant coursework

BT

BLDEA's V.P. Dr. P.G. Halakatti College of Engineering & Technology

Bachelor of Engineering, Computer Science (AI & ML)

2020 - 2024

Grade: CGPA: 7.5

Activities and societies: Worked on AI/ML projects (deepfake detection, cervical cancer detection); won 2nd Best Project of the Year (2024) at BLDEACET.

Completed a Bachelor of Engineering in Computer Science with specialization in AI & ML, focusing on AI/ML projects including deepfake detection and cancer classification; graduated with a CGPA of 7.5.

Tech stack

Software and tools used professionally

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Pooja Ronad - ML Research Intern - Compsoft Technologies | Himalayas