About
B.Tech student specializing in IIoT with hands-on experience in Java/Spring Boot, Python, AI/ML, and backend system development. Completed internships and training in software engineering, AI agent development, and deep learning, with projects spanning microservices, graph databases, and web applications.
Experience
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Java InternInfosys SpringboardJan 2026 – Mar 2026
Built and tested RESTful APIs using Java, Spring Boot and Postman with Role-Based Access Control via Spring Security. Designed and normalized relational database schemas in MySQL using Spring Data JPA and Hibernate, and coordinated feature development using Agile methodology over Git in a remote team.
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AI and DL TraineeSamsung Innovation Campus · Delhi, IndiaNov 2025 – Mar 2026
Completed 350 hours of structured training in Machine Learning and Deep Learning fundamentals using Python, Pandas, and Keras. Designed and trained custom deep neural networks for multi-class classification problems.
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AI Agent Developer InternIBM SkillsBuild · Delhi, IndiaJun 2025 – Jul 2025
Engineered AI agent pipelines using Retrieval-Augmented Generation (RAG) in Python. Implemented Multi-Agent Systems architecture to decompose complex requests into parallel sub-tasks.
Education
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2027
B.Tech in IIoT (a CSE Specialization)Guru Gobind Singh Indraprastha University (USAR)IIOT · 2023 – Jul 2027
Skills
Tools / apps / platforms
Projects
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Java, Maven, OOP
Implemented a full-depth recursive game tree evaluator with Minimax and Alpha-Beta pruning for optimal play. Refactored a heuristic-based CLI game into a modular object-oriented Java architecture.
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Java, Spring Boot, MySQL, Spring Data JPA, SMTP, Stripe
Built a Library Management System to manage inventory, member records, and borrowing state across concurrent users. Integrated email notifications via SMTP and payment workflows with Stripe.
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Snippets - Article Influence and RelationshipsJava, Spring Boot, Python, NLP, Neo4j
Architected a microservices application that uses NLP to parse articles, relationships, and influence scores into Neo4j. Designed a deterministic graph-based synthesis engine using Neo4j GDS algorithms to eliminate LLM API cost and reduce ingestion processing to 50ms.