Full Stack Engineer with 4+ years in React, Python & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer with 4 years of experience in building responsive and scalable web applications using React.js, Python, Node.js, and Google Cloud Platform (GCP). Delivered production-ready solutions for enterprise clients, including Mahindra & Mahindra, by integrating cloud services, enhancing UI performance, and collaborating with cross-functional teams. Proficient in frontend and backend development, API integration, and deploying cloud-native applications.
Yashwantrao Chavan Maharashtra Open University
B.C.A · Bachelors in Computer Application
N/A – June 30, 2022
Neosoft
MERN Stack Developer - SMBP Project
November 1, 2025 – Present
Mumbai, Maharashtra, India
UpSolve (Client: Mahindra & Mahindra)
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March 1, 2023 – October 1, 2025
Mumbai, Maharashtra, India
UpSolve (Client: Mahindra & Mahindra)
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React.Js from Mindstine Academy
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June 1, 2026 – Present
Datacom Software Development Job Simulation on Forage
Forage
July 1, 2025 – Present
ReactJs from SkillUp by Simplilearn
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July 1, 2022 – Present
Java Programming from Great Learning
Great Learning
April 1, 2022 – Present
Web Designing from Asterix Solution
Asterix Solution
September 1, 2019 – Present
Cultural Fit Analysis
The candidate has worked on diverse projects, including a role-based service management system, a speech AI project, and an Android application, demonstrating adaptability and a broad skill set. Their experience with enterprise clients like Mahindra & Mahindra suggests an understanding of corporate environments. The continuous learning indicated by certifications and the use of AI tools aligns with a culture of innovation and growth.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams and agile sprints, indicating good teamwork and operational fit. Experience in automating deployment processes and optimizing component rendering suggests a focus on efficiency and performance. The use of AI-assisted development tools also points to adaptability and a proactive approach to productivity.