About
B.Tech CSE student at VIT with experience in backend development, AI/LLM engineering, and applied machine learning. Built RAG-based systems, retrofit recommendation engines, and fraud detection projects using modern Python and Java tooling.
Experience
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Software Development InternAxis Max Life Insurance · Gurugram, India
Contributed to backend feature development using Spring Boot, including REST API integration, testing, and deployment support across environments.
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Software Development InternMuzigal · Dwarka New Delhi, India
Developed a personalized administrative dashboard for student records and entry management, improving accessibility and day-to-day operational workflows.
Education
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2028
B.Tech in Computer Science and EngineeringComputer Science and Engineering (CSE) · Aug 2024 – May 2028
Skills
Tools / apps / platforms
Projects
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FraudGraph AI – Graph-Based Fraud DetectionPython, Scikit-learn, NetworkX, Pandas
Graph-based fraud detection system using transaction, node, and network-level features for fraud classification and risk scoring.
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Kew – Energy Retrofit Recommendation EnginePython, AI/ML, Simulation, LLMs, REST APIs
Deterministic retrofit simulation engine for estimating energy savings, carbon reduction, and financial impact across upgrades and retrofit combinations.
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Atlas – Modular AI Research AgentPython, FastAPI, LangGraph, Ollama, Qdrant, Docker
Modular RAG-based research system with separate model, retrieval, and service layers, exposing grounded responses through typed FastAPI endpoints.
⚽ Extracurricular activities
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Senior Core Member, ACM-VIT
Led technical initiatives, mentored students, and coordinated workshops and events with university stakeholders.
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Technical Coordinator, graVITas
Supported the planning and execution of VIT’s annual technical festival, including technical operations and participant coordination.