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Konda reddy AmbavaramKA
Open to opportunities

Konda reddy Ambavaram

@kondareddyambavaram

Final-year CSE student building scalable web and AI-powered applications with cloud expertise.

India
Message

What I'm looking for

I seek hands-on roles building scalable web and AI products using cloud-native tools, collaborative teams, and growth-focused mentorship.

I am a final-year Computer Science Engineering student with a strong academic record (CGPA 8.57) who enjoys solving real-world problems through code. I build smart, scalable applications using Python, React, Node.js, and cloud tools like AWS and Firebase, and I move ideas to production with Docker and CI/CD.

I have led small teams, contributed to open-source (18+ PRs), and improved AI responses and system accuracy in practical projects—raising output accuracy from 72% to 93% on one platform. I focus on practical impact, fast learning, teamwork, and delivering reliable, user-focused products.

Experience

Work history, roles, and key accomplishments

PP
Current

Full Stack Developer

Personal Projects

Aug 2024 - Present (1 year 10 months)

Built multiple end-to-end web applications including an AI-powered vendor catalog with role-based access and a real-time energy-monitoring dashboard, improving AI response accuracy by 21% and optimizing dashboard performance.

PP

Machine Learning Engineer (Project)

Personal Projects

Aug 2024 - Nov 2024 (3 months)

Developed a hybrid movie recommendation engine combining collaborative and content-based filtering and deployed automated CI/CD pipelines, reducing manual deployment effort by 50% and improving personalization accuracy.

Education

Degrees, certifications, and relevant coursework

Saveetha School of Engineering logoSE

Saveetha School of Engineering

Bachelor of Engineering, Computer Science

2022 -

Grade: 8.57/10

Activities and societies: GSSoC contributor, hackathon team lead, mentorship and onboarding of juniors; relevant projects include AI-powered catalog platform, energy monitoring dashboard, and movie recommendation system.

Pursuing a Bachelor of Engineering in Computer Science with a CGPA of 8.57/10, focusing on cloud computing, web development, and machine learning; coursework and projects emphasize scalable application development and AI integration.

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