Building intelligent systems that bridge cutting-edge AI research and production-ready applications. Specialising in Retrieval-Augmented Generation, semantic search, and scalable backend APIs.
End-to-end document intelligence system. Extracts text from PDFs, generates context-aware questions via NLP pipelines, detects document similarity through embedding-based comparison, and enables scalable Q&A — all over a FastAPI backend.
AI-powered automation agent that processes natural language requests and executes workflow tasks. Modular backend with task scheduling, productivity automation, and integration with scheduling systems.
Industrial anomaly detection using ensemble Isolation Forest + Autoencoders. 40+ temporal features engineered from sensor data, with sliding-window inference for real-time monitoring.
Deep MLP classifiers trained on large-scale network traffic datasets. Identifies malicious intrusion patterns with 91% accuracy. Feature extraction and preprocessing pipelines for cybersecurity analysis.
Strong command of graphs, dynamic programming, greedy algorithms, and algorithm optimisation. Experienced in improving efficiency through time and space complexity analysis.
Grounded in OOP, operating systems, DBMS principles, and system design. Builds scalable, maintainable architectures with clean separation of concerns.
Designs and implements REST APIs with FastAPI, handles asynchronous workflows, and integrates relational databases (MySQL, PostgreSQL) in production pipelines.
Data Structures · Design & Analysis of Algorithms · DBMS · Operating Systems · Machine Learning · Deep Learning · Computer Networks
Computer Science undergraduate specialising in AI systems, backend development, and document intelligence pipelines. I bridge the gap between research-level GenAI and production-grade software — from enterprise RAG systems to real-time anomaly detectors.
Currently pursuing B.Tech at Manipal University Jaipur (2022–2026), with hands-on experience deploying ML services at scale using FastAPI, Docker, and AWS.