Full Stack Engineer with less than a year in JavaScript & AI/ML
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Assessing your cultural and operational fit
Highly motivated Full Stack Developer and AI/ML enthusiast with 8 months of combined internship experience in software engineering and research. Proficient in Python, Java, JavaScript, ReactJS, and NodeJS, with a strong foundation in deep learning frameworks like TensorFlow and Keras. Proven ability to develop and optimize software features, integrate APIs, and build AI-driven solutions for various applications, including plant disease classification and network intrusion detection.
Sambalpur University Institute of Information Technology
B.Tech. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Kalinga Vriti (Qyrex Technologies Pvt Ltd)
SDE Intern
November 1, 2025 – March 31, 2026
India
National Institute of Technology Rourkela
Research Intern – Artificial Intelligence & Machine Learning
May 1, 2025 – July 31, 2025
India
Leaf Disease Classification Using Deep Learning
June 1, 2026 – Present
Developed an AI-based solution for automated crop disease detection to support faster and more accurate agricultural decision-making. Applied transfer learning, data preprocessing, and augmentation techniques to improve model robustness and generalization. Achieved 97% classification accuracy using structured model evaluation and performance optimization techniques.
Learning Management System (LEVELD)
June 1, 2026 – Present
Developed a full-stack learning management platform with authentication, course management, and content delivery functionalities. Designed and integrated RESTful APIs with MySQL database support, ensuring efficient data management and scalable architecture. Improved user experience through responsive interfaces and structured workflow design.
Intelligent Real-Time Network Intrusion Detection System
June 1, 2026 – Present
Developed an AI-driven network security system for real-time intrusion detection and cyber attack classification. Applied feature engineering, anomaly detection, and model optimization on network traffic datasets, achieving 98% classification accuracy. Improved threat analysis and decision-making through interpretable model outputs and automated detection workflows.
Cultural Fit Analysis
The candidate's involvement in diverse academic projects (AI/ML, full-stack LMS) and leadership roles in student organizations demonstrates a broad range of interests and a proactive approach to learning and community engagement. This indicates a potential for strong cultural fit within a dynamic and innovative team. The experience in a startup environment also suggests adaptability and a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles in various clubs and events (Event Head, PR Head, Debating Society Lead, Class Representative), indicating strong communication, teamwork, and organizational skills. Participation in hackathons and DevFest suggests a proactive attitude towards learning and collaboration. The internship experience at Kalinga Vriti also mentions collaboration with cross-functional teams and contributing to workflow automation, which points to good operational fit.