Applied AI Engineer · B.Tech AI & Data Science
3rd year B.Tech AI & Data Science student at Parul University, Vadodara, simultaneously completing a Dual Degree in Neural Networks & Deep Learning. Focused on applied machine learning, deep learning architectures, and full-stack development. I build real products — StudentMind (React 19 + Gemini API, live) and NotebookLM Prompt Vault (live) — both with actual users. Open to internships and collaborations in AI/ML engineering, applied AI product development, and full-stack roles.
Parul University (PIET), Vadodara, Gujarat, India
Course: 303105308 — AI Laboratory & practicals · CGPA: In progress · Currently in Semester 5 (Year 3 of 4)
Parul University, Vadodara, Gujarat, India
Concurrent dual degree alongside B.Tech, currently in Semester 2 of 2 (final semester) — covers CNNs, RNNs, LSTMs, attention mechanisms, GANs, transfer learning
Multi-provider AI study companion integrating 6 LLM providers (Gemini, Groq, OpenAI, Anthropic, Mistral, Cohere) with zero backend dependency — API keys stay client-side. Select a mode (Summary, Cheat Sheet, Learning Path, Quiz, Resource Finder), upload a PDF or document, and receive structured output instantly. Features a localStorage session manager with 30+ saved conversations, one-click PDF / DOCX / Markdown export via html2pdf.js and the docx library, 16-language support via Sarvam and Google Translate APIs, and GitHub Actions CI/CD shipped under a BUSL 1.1 production licence.
Multi-page, batch-aware prompt library for Parul University students — organises 2,700+ lines of curriculum data across 7+ academic programs using a vanilla JavaScript ES-module architecture with a barrel-import pattern (curricula/index.js) for dynamic per-subject prompt generation. Cross-tab state sync via the Storage API, persistent theming via localStorage, custom security headers, and dual-hosted on Vercel + Netlify with 4+ shipped bug fixes covering state persistence, cross-tab desync, and race conditions.