About
Computer Science Engineering student focused on Backend Development and AI/ML, with hands-on experience building backend systems, REST APIs, RAG pipelines, recommendation systems, and ML-driven applications. Proficient in Python, FastAPI, React, and SQL databases, with strong foundations in Data Structures and Algorithms, OOPs, DBMS, Operating Systems, and Computer Networks.
Education
Projects
Manan AI – Enterprise AI Chat & Document Intelligence Platform GitHub
Built an enterprise AI platform with hybrid RAG, multi-model routing, long-term memory, structured citations, and secure JWT-based user isolation for document-grounded conversational AI.
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Namma Connect – AI-Powered Agritourism Marketplace
Architected a two-sided AI marketplace with User and Provider roles, enabling service listing and booking workflows with personalized recommendations tailored to both users and providers. Developed an AI trip planner using RAG, pgvector, and Gemini to generate personalized, context-aware itineraries based on user preferences and available marketplace services.
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WatchMan – Personalized Movie Recommendation System
Built a hybrid recommendation engine combining TMDB metadata, genre/cast features, content similarity, and user-preference signals to generate and rank personalized movie recommendations.
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Vermithor- AI-Powered Production Incident Intelligence Platform
Engineered a telemetry-driven incident pipeline using Isolation Forest, Z-score anomaly detection, Sentence Transformers, HDBSCAN clustering, and topology-aware deterministic Root Cause Analysis (RCA) across logs, metrics, traces, and deployment events. Implemented RAG + tool-using AI agent architecture with pgvector and Ollama for historical incident retrieval, evidence validation, and grounded incident analysis and summarization.
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