Fullstack Developer Portfolio
I'm a Full Stack Developer specializing in React, Node.js, and Spring Boot, with hands-on experience in building scalable applications, REST APIs, and real-time systems. Passionate about creating efficient and impactful solutions.
About Me
About Me
I am a Full Stack Developer specializing in React, Node.js, and Spring Boot, with hands-on experience in designing and developing scalable web applications and RESTful APIs. I have a strong foundation in both frontend and backend technologies, enabling me to build efficient, end-to-end solutions.
I actively contribute to open-source projects, including Elasticsearch, where I have worked on debugging issues, improving test stability, and gaining exposure to large-scale distributed systems. This experience has strengthened my understanding of system design, performance optimization, and collaborative development practices.
I have developed multiple projects, including real-time applications and a machine learning-based Yoga Pose Detection system, where I integrated computer vision techniques with practical software engineering. These projects reflect my ability to apply theoretical concepts to solve real-world problems.
In addition to technical skills, I possess strong problem-solving abilities, attention to detail, and a continuous learning mindset. I am particularly interested in backend development, scalable architectures, and building high-performance systems.
I am currently seeking opportunities where I can contribute to impactful projects, enhance my technical expertise, and grow as a software engineer in a collaborative and challenging environment.
Research & Publications
Yoga Pose Detection & Correction using Machine Learning
Proposed a real-time system using MediaPipe Pose and machine learning models (CNN, XGBoost, SVM) to detect and correct yoga postures. Focused on improving accuracy and providing real-time feedback.
Detection of DoS and DDoS Attacks using Machine Learning and Feature Optimization
This research focuses on detecting Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks using advanced machine learning and deep learning models such as MLP and LSTM. The study incorporates feature selection techniques and tensor-based analysis to improve detection accuracy while reducing computational overhead. Evaluated on benchmark datasets like CIC-IDS2017 and CIC-IDS2018, the proposed approach achieves high performance in terms of accuracy, precision, and recall, making it suitable for real-time intrusion detection systems.
Open Source Contributions
Elasticsearch – Open Source Contributor
Contributed to a large-scale distributed search and analytics engine by identifying and resolving issues, improving test stability, and enhancing overall reliability. Gained hands-on experience working with production-level systems and complex codebases.
- Debugged and resolved integration and test failures in ESQL modules
- Worked with Gradle-based build systems and CI testing pipelines
- Improved test stability and reduced flaky test behavior
- Collaborated using pull requests, code reviews, and issue tracking
- Gained exposure to distributed systems and performance optimization
Apache Lucene – Open Source Contributor
Explored and contributed to Apache Lucene, the core search library powering Elasticsearch. Gained understanding of indexing, search algorithms, and internal working of inverted indexes used in high-performance search engines.
- Worked with core search and indexing concepts
- Understood inverted index and query execution mechanisms
- Explored text analysis, tokenization, and scoring techniques
- Studied internal architecture of search engines
- Strengthened understanding of information retrieval systems
Think better with Next.js 14
Encryption
My Projects
Real-Time Chat Application
Built a full-stack real-time chat application using Node.js, Express, and WebSockets. Implemented features such as user authentication, group chats, message status (seen/delivered), and dynamic UI updates. Designed scalable backend APIs and ensured efficient real-time communication.
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Food Reservation System
Developed a full-stack food reservation system that allows users to browse restaurants, view menus, and reserve tables in real time. Implemented secure user authentication, booking management, and RESTful APIs using Node.js and Express. Designed an efficient database schema with MongoDB to handle reservations and user data, ensuring a smooth and responsive user experience.
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E-Commerce System
Designed and developed a scalable backend for an e-commerce platform using Node.js and Express. Implemented product management, user authentication, and payment integration using Razorpay. Ensured secure API handling and efficient database operations.
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Spring Boot Feedback Collector System
Built a feedback collection system using Spring Boot with features like sentiment analysis, rate limiting, CSV export, and admin dashboard. Integrated AWS Comprehend via a microservice for sentiment detection and implemented secure backend architecture.
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Hospital Management System
Developed a full-stack Hospital Management System to streamline patient, doctor, and appointment management. Implemented features such as patient registration, appointment scheduling, medical record management, and secure authentication using Node.js, Express, and PostgreSQL. Designed RESTful APIs and optimized database queries to ensure efficient data handling and system performance.
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Yoga Pose Detection & Correction System
Developed a real-time yoga pose detection and correction system using MediaPipe Pose and machine learning models (CNN, XGBoost, SVM). The application analyzes body posture through webcam input and provides accuracy feedback and corrections. Integrated frontend visualization with backend ML models for an interactive user experience.
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