PaperLoop
AI-powered ArXiv paper recommendation system using web scraping, NLP, TF-IDF, and SVD to help researchers discover relevant academic papers.
Architecting digital elegance
Computer Science & IT undergraduate based in Ahmedabad. I specialize in building robust backend architectures, integrating intelligent AI solutions, and designing intuitive, modern web interfaces.
Full Stack Web Developer and B.Tech (CS & IT) student specializing in software engineering, AI pipelines, and refined web architectures. Proven ability to engineer end-to-end applications, design minimalist user interfaces, and build resilient backends. Additionally, I hold a profound passion for Python-centric development, particularly within data and machine learning environments.
Academic Coursework Highlights:
AI-powered ArXiv paper recommendation system using web scraping, NLP, TF-IDF, and SVD to help researchers discover relevant academic papers.
A full-stack web application that compares product prices, ratings, and details from Amazon and Flipkart, helping users quickly find the best deals in one place.
An open-source computer vision system using deep learning for flame identification in videos. Engineered utilizing OpenCV, TensorFlow, and HSV color analysis.
A full-stack Flask AI chat application featuring JWT/Bcrypt authentication, PostgreSQL database persistence, and dynamic multi-model AI routing across Google Gemini, Groq, OpenAI, and DeepSeek.
Open to discussions regarding high-end software engineering roles, data engineering pipelines, and scalable architecture projects.