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Bhavesh Sonawane

@bhaveshsonawane

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Full-stack developer specializing in React, Node.js, and AI integrations.

India

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What I'm looking for

I am seeking a software engineering role where I can build scalable full-stack applications, integrate AI/ML features, work within collaborative DevOps practices, and grow technically within a product-focused team.

I am a full-stack software developer with hands-on experience building scalable web applications using React.js, Node.js, and MongoDB, with a focus on integrating AI capabilities to solve real-world problems.

During a web development internship I contributed to full-stack solutions automating client workflows, designed RESTful APIs, and reduced server response time by 25% through performance optimizations.

I have built AI-enabled and user-focused projects such as an intelligent agriculture issue-tracking platform using Google Gemini and a responsive salon booking system, implementing secure JWT authentication, role-based access, and robust backend services.

I bring practical DevOps familiarity (Docker, AWS, Kubernetes), strong CS fundamentals, and leadership experience from college activities, and I seek to contribute to teams building scalable applications and AI/ML-driven solutions.

Experience

Work history, roles, and key accomplishments

Web Development Intern

Prodigy Infotech

Jul 2024 - Aug 2024 (1 month)

Contributed to full-stack solutions automating client workflows using React.js, Node.js, and MongoDB; designed RESTful APIs that reduced server response time by 25% and improved frontend-backend data flow.

React Node.Js MongoDB Express RESTful APIs Performance Optimization Git NodeJS

Education

Degrees, certifications, and relevant coursework

K. K. Wagh Institute of Engineering Education and Research

Bachelor of Technology, Artificial Intelligence and Data Science

2022 -

Grade: 7.57 CGPA

Activities and societies: Team Leader for National Service Scheme (NSS); Top Finalist at National Level WEB-E-THON Competition

Pursuing a B.Tech in Artificial Intelligence and Data Science with a CGPA of 7.57, focusing on full-stack development, AI/ML, and DevOps-related tooling.