Full Stack Engineer with 2+ years in MERN Stack & AI/ML.
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Highly motivated Computer Science Engineering student specializing in Data Science with a strong interest in data management, full-stack development, and scalable data systems. Proven ability in strengthening DSA proficiency, designing optimized solutions, and developing innovative web applications. Passionate about exploring new technologies that enhance productivity and learning, with hands-on experience in building robust systems using MERN stack, React.js, Node.js, and Python-powered APIs.
Shri Vaishnav Vidyapeeth Vishwavidyalaya
Bachelor of Technology · Computer Science Engineering (Data Science - IBM Collaboration)
August 1, 2022 – June 30, 2026
Muskurahat Foundation
Crowd Fundraiser
July 1, 2024 – Present
India
InternPe
Intern
June 1, 2024 – Present
India
Voice-Enabled Virtual Assistant Web App
June 28, 2026 – Present
Engineered a real-time voice-interactive assistant capable of executing web-based commands and generating contextual responses. Utilized speech recognition APIs and modular architecture to enhance user interaction efficiency by 35%.
Real Estate Plot Manager
June 28, 2026 – Present
Developed a responsive property management platform with secure authentication and admin dashboards. Integrated real-time data visualization and MongoDB Atlas for efficient data retrieval, improving query response by 40%.
College Management ERP System
June 28, 2026 – Present
Built a modular ERP system to automate student records, faculty data, and course management. Developed a Python-based backend and deployed a functional ERP prototype within 24 hours, recognized by the jury for robust design and scalability.
Digi Rakshak - Cyber Safety Platform
June 28, 2026 – Present
Designed a visually interactive platform to promote cybersecurity awareness through 3D user experiences. Integrated Python-powered APIs for real-time cyber threat analysis and visualization, praised for innovation and design creativity.
Cloud Computing
NPTEL
June 1, 2026 – Present
IBM Cybersecurity Fundamentals
IBM
June 1, 2026 – Present
IBM Reactive Microservices
IBM
June 1, 2026 – Present
IBM Machine Learning with R
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's interest in data management, full-stack development, and scalable data systems aligns well with a technical role. Participation in hackathons and personal projects demonstrates initiative and a passion for technology. The non-technical role as a Crowd Fundraiser shows a breadth of interests and community involvement. However, the overall experience is limited, which might impact cultural integration in a senior-level team without further development.
Soft Skills & Operational Fit
The candidate's experience as a Crowd Fundraiser suggests organizational skills and an ability to engage with others, which could translate to teamwork and communication in a professional setting. The hackathon projects indicate a proactive and innovative mindset. However, the resume lacks explicit details on collaboration within technical teams or handling complex project requirements beyond individual contributions.