Full stack developer building real-time, AI-powered apps with Java & Spring Boot.
Software Developer with hands-on experience in full-stack development, real-time systems, and ML-based applications. Currently pursuing B.Tech in Computer Science Engineering at Woxsen University with a strong focus on backend development, REST API design, and system thinking. Actively practicing Data Structures and Algorithms to prepare for Software Development Engineer (SDE) roles. Passionate about building scalable applications and solving complex problems.
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A cloud-based student collaboration platform where students discover projects by skill, form teams, and manage collaborative work — all in one place. Features pgVector-powered project recommendations, real-time WebSocket chat, JWT role-based access, an invitation workflow, document sharing, and meeting notes. Backed by 35+ REST APIs documented via Swagger, deployed on AWS EC2.
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A competitive programming analytics platform that aggregates student activity across LeetCode, GitHub, Codeforces, CodeChef, and HackerRank into a single dashboard. Features batch-scoped leaderboards so students rank within their class — not against millions globally — boosting morale and visibility. Mentors get a class-wide view with placement readiness scores, inactivity alerts, and CSV exports. Includes an AI-powered weak-area detection engine that recommends the next problems and topics based on each student's solve history.
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SEWA (Sepsis Early Warning Agent) is a real-time clinical decision-support system built for Intensive Care Units (ICUs). The system monitors continuous patient vital signs and intermittent laboratory results, applies rule-based screening (SIRS, qSOFA) and an ML-based risk model (LSTM + XGBoost), and delivers explainable, auditable alerts to clinical staff — enabling earlier intervention and reducing sepsis mortality
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