I’m Tirth Patel, a driven B.Tech student at Motilal Nehru National Institute of Technology Allahabad (MNNIT Allahabad), passionately engineering full-stack web platforms fused with intelligent agents and generative AI.
- Architecting high-impact web solutions leveraging Large Language Models (LLMs), multi-agent orchestration, and modern frontend/back-end stacks.
- Crafting seamless frontend-to-backend workflows, building robust API ecosystems, and driving intelligent automation at scale.
- Delivering production-ready prototypes that go beyond experimentation—intended for real-world users and measurable outcomes.
- Agentic AI & multi-agent collaboration: designing systems where agents work together toward a goal.
- LLM application pipelines & retrieval-augmented generation (RAG), integrating data + models + user experience.
- Backend architecture, scalable APIs, and full-stack integration: ensuring systems are robust, maintainable, and extensible.
- Frontend excellence using React, TailwindCSS or Vite: crafting intuitive user experiences that make tech invisible and useful.
- I thrive when bridging AI/ML + Web Engineering, not just building prototypes but converting ideas into usable, impactful platforms.
- My mindset: build fast → iterate with data → measure impact.
- Hackathon-ready: rapid ideation, execution under pressure, code quality, user-centric thinking, and a drive to ship meaningful work.
Looking to collaborate on projects involving:
AI/ML · Generative AI · Agentic Systems · Full-Stack Web · Intelligent Platforms
If you’re ready to build something bold and innovative, send me a message. Let’s push boundaries together! 🚀
| Project | Description | Technologies Used |
|---|---|---|
| Alchemist’s Grimoire (Insight-X) | 🚀 A full-stack AI-driven health platform improving medication adherence through intelligent tracking, personalized reminders, and context-aware health insights. Integrated multi-agent assistants, PDF health report parsing, and Google Calendar automation. | React.js, Vite, Node.js, Express.js, MongoDB, LangChain, Groq API (Llama LLMs), Socket.IO, FastAPI, OAuth2 |
| NextFrame (Movie-Recommendation) | 🎬 ML-powered movie recommendation system using NLP-based content filtering and cosine similarity. Features intelligent search and TMDb metadata integration with smooth full-stack deployment (Vercel + Railway). | React, FastAPI, Scikit-learn, NLTK, Pandas, TMDb API |
| Agentic-AI Demo | 🧠 Prototype showcasing multi-agent collaboration and intelligent task automation under the MNNIT Robotics Club. Demonstrates AI-based agent communication and dynamic goal handling. | Python, LangChain, AI Agents |
| SafeStride | 🧭 Naive Boyes – BotRush 3.0 (2nd Place) — A full-stack ML + pathfinding interface combining real-time classification, computer vision, and intelligent routing. Features drag-and-drop file uploads, result visualization, and a hybrid TSP + BFS shortest-path algorithm that avoids unsafe zones and finds the optimal traversal path. | Next.js, FastAPI, TensorFlow/Keras, OpenCV, NumPy, Tailwind CSS, Axios, Vercel, Render |
