About Me
I am a passionate AI/ML Engineer with a deep interest in building intelligent systems that solve real-world problems. My journey in tech began with a curiosity for how machines learn, which led me to specialize in Deep Learning, Computer Vision, and Natural Language Processing.
With a strong foundation in mathematics and coding, I enjoy bridging the gap between theoretical research and practical applications. Whether it's optimizing neural networks or deploying scalable models, I am always eager to learn and innovate.
When I'm not coding, you can find me exploring the latest research papers, contributing to open-source projects, or experimenting with new technologies.
Featured Projects
Travel AI Agent (Agentic Backend System)
Built an agentic AI travel assistant for itinerary planning and personalized recommendations using tool-calling and backend orchestration. Designed a production-grade FastAPI backend with async handling, caching, and conversational memory (session + global preferences). Implemented dynamic model routing (lightweight + fallback models) for cost optimization while maintaining high response success rates. Integrated external APIs for real-time travel data and multi-step reasoning.
AI Image Detector (Batch Inference System)
Built a scalable batch inference pipeline using transfer learning to classify images as AI-generated or real. Designed backend APIs for bulk image processing, asynchronous prediction workflows, and result aggregation with automated email delivery. Optimized for CPU-based inference, focusing on throughput, reliability, and real-world deployment constraints.
AutoRAG – Multi-Tenant RAG Platform
Developed a multi-tenant RAG-as-a-Service platform enabling secure ingestion and querying of proprietary data. Architected pipelines for document processing, embedding generation, vector indexing, and retrieval-based query execution with strict tenant isolation. Designed modular backend systems for scalable deployment and enterprise-grade data isolation.
Technical Skills
Programming Languages
Machine Learning & AI
Backend & APIs
Frontend
Databases
DevOps & Deployment
Tools & Platforms
Education
B.Tech in Computer Science & Engineering (Data Science)
JIS University
Focused on Data Science, Machine Learning, and Artificial Intelligence with strong foundations in computer science.
Higher Secondary (Class XII)
Aditya Academy Senior Secondary
Science stream with Physics, Chemistry, and Mathematics.
Secondary (Class X)
Aditya Academy Secondary
Completed secondary education with emphasis on science and mathematics.