About
A highly motivated and results-driven Master of Computer Application candidate with comprehensive full-stack development expertise across MERN, Python, and microservices architectures. Proven ability to engineer scalable applications, optimize system performance by up to 40%, and enhance user engagement by 45% through real-time features and AI integration. Actively contributes to open-source projects and continuously upskills in advanced data structures, algorithms, and system design patterns, seeking to leverage robust technical skills in a challenging Software Developer role.
Work
Webseeder Technology
|Software Developer Intern
Indore, Madhya Pradesh, India
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Summary
As a Software Developer Intern, I designed and maintained 3+ enterprise-grade MERN stack applications for 4+ clients, enhancing operational efficiency and user engagement.
Highlights
Spearheaded the design and maintenance of 3+ enterprise-grade applications (LMS, CRM, GPS) using the MERN stack, serving 4+ company clients and enhancing operational efficiency.
Engineered and seamlessly integrated REST APIs with JWT and OAuth, establishing 100% secure multi-role access control for sensitive data and functionalities.
Optimized MongoDB and PostgreSQL queries, resulting in a 30% reduction in API response times and significantly boosting application scalability.
Developed real-time notification, chat, and comment features leveraging Redis and Socket.io, which increased user engagement by 45%.
Collaborated effectively within cross-functional teams, accelerating feature delivery by 20% and consistently meeting project deadlines.
Borse Automotive
|Python Developer Intern
Nashik, Maharashtra, India
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Summary
As a Python Developer Intern, I developed a Python-based vehicle dashcam and PyQt desktop apps, significantly improving real-time accuracy and reducing manual inspection efforts.
Highlights
Developed a Python-based vehicle dashcam system utilizing OpenCV, achieving 95%+ real-time face detection accuracy for enhanced safety and monitoring.
Built intuitive PyQt desktop applications for comprehensive sensor monitoring, reducing manual inspection efforts by 40%.
Enhanced overall application responsiveness, leading to a 30% improvement in production efficiency.
Education
Sandip University
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Master of Computer Application (MCA)
Computer Application
Grade: CGPA: 7.63 / 10
Skills
Languages
JavaScript, TypeScript, HTML, CSS, Python.
Frontend Development
React.js, Next.js, Redux, Tailwind CSS.
Backend Development
Node.js, Express.js, REST APIs, Socket.io, Microservices.
Databases
MongoDB, PostgreSQL, Redis.
Authentication & Security
JWT, OAuth (Google, GitHub).
DevOps & Tools
Docker, Kubernetes, Git, GitHub, Postman.
Cloud & AI
Gemini AI API, Cloudinary, MCP.
Other Technical Skills
DSA (Data Structures & Algorithms), Design Patterns.