“Bridging modern full-stack architectures with applied intelligence.”
I am a Computer Science undergraduate at SRM IST Ghaziabad with a strong focus on bridging modern full-stack web applications with applied Artificial Intelligence. My work centers on building reliable web architectures, neural-network-driven systems, and production-ready NLP tools. With hands-on experience spanning deep learning audio pipelines, hybrid semantic search engines, and multi-role web portals, I enjoy taking complex technical concepts and shipping them as responsive, high-performance web products.
Architecting dual-engine hybrid retrieval systems combining fast mathematical semantic scoring (TF-IDF cosine similarity) with generative LLM inference (Google Gemini, OpenAI, Claude) for dynamic multi-modal reasoning.
Designing autoregressive LSTM neural networks, custom audio tensor preprocessing pipelines, and sequence modeling systems for generative tasks, music composition, and computational language processing.
Engineering resilient backend architectures with Node.js/Express and Python/Flask, implementing automated input sanitization, JWT authentication middleware, server-side caching, and production deployments.
Hands-on industry engineering contributions and web services development.
A dual-engine intelligent chatbot merging fast local TF-IDF semantic search with generative LLMs for open-ended problem solving.
An autoregressive generative music platform that trains on MIDI datasets to compose original multi-instrumental scores.
A robust, production-deployed administrative portal for institutional student record management and role-based workflows.
A real-time computer vision system built for multi-object detection, tracking, and video analysis with interactive desktop and web interfaces.
Verified engineering toolkit across core computer science, intelligent systems, and scalable full-stack applications.
Strong fundamentals in Object-Oriented Programming, Data Structures & Algorithms, and Database Management Systems.
Specializing in full-stack architecture, API creations, server management, and LLM integrations.
Verified academic qualifications, technical competencies, and documentation.
Review comprehensive credentials covering Full-Stack Development, Deep Learning models, LLM routing pipelines, and academic milestones.