🎓 I'm a 21-year-old Computer Engineering student at Ganpat University, Gujarat, India. Passionate about building software that blends creativity, logic, and real-world utility. from games, APIs and Neural Networks to full-stack web apps and automation systems, I love turning ideas into systems.

I treat code as both art and architecture, following Leonardo da Vinci’s principle of mastering across disciplines.

• 💻 Skilled in C, Python, and TypeScript, with deep experience in full-stack web development, API design, and game mechanics.
• 🧩 Experienced with modern frameworks like Next.js, React, Node.js, and Flask.
• 🧠 Curious about LLM integrations, DevOps automation, and System Design.
• 🎮 Love building visually engaging or technically deep projects — from games to neural nets
• 🚀 Prefer learning by building everything from scratch

• Languages: C, C++, Python, TypeScript, JavaScript, Java, SQL
• Frontend: Next.js 14, React, Tailwind CSS
• Backend: Node.js, Express.js, Flask, NextAuth.js
• Databases: PostgreSQL, MongoDB, SQLite, MySQL
• DevOps / Tools: Docker, Git, Vercel, Render, Postman
• AI / Data: NumPy, Pandas, Matplotlib, LLM APIs, Prompt Engineering
• GameDev: Pygame-CE
• Concepts: OOP, OAuth 2.0, API agents, System Design

• ⚙️ LLM-powered API architecture and agent frameworks
• 🧠 System Design principles and architecture patterns
• 📊 Data handling in Python (NumPy, Pandas, Matplotlib)
• 🧩 Data Structures & Algorithms (DSA) with a focus on practical applications
• 🧠 DevOps (Docker pipelines, deployment automation)

Python · NumPy · Pandas

A fully modular multilayer neural network implemented without any ML frameworks.
Includes forward/backprop, He initialization, softmax CE loss, training loops, evaluation utilities.

Python · Pygame CE · OOP Game Architecture

A Flappy Bird–inspired arcade game where you play as a ghost navigating obstacles in the sky — complete with dynamic physics, parallax backgrounds, and pixel-perfect collisions.

• Smooth gravity, velocity & damping-based movement
• Interactive splash screen.
• Procedurally generated obstacles with recycling
• Custom .env configuration for physics & gameplay
• 60 FPS optimized loop

Key insight: Merging physics simulation with game-state architecture for smooth gameplay flow.

Python · Google Gemini · API Boilerplate

A flexible, ready-to-use API framework for interacting with LLMs like Gemini (OpenAI support coming soon).

• Secure .env-based key management
• Auto-save of all prompt/response JSON
• Easily extensible to multiple model providers

Use case: Accelerates LLM integration into apps — just focus on your prompts, not boilerplate.

Next.js 14 · TypeScript · MongoDB · NextAuth.js · Tailwind CSS
SSR, secure Google OAuth, role-based access, Markdown editor, responsive UI
🚀 5× performance boost via DB optimization & indexing
GitHub

Node.js · Express · PostgreSQL · EJS
Google login, book metadata auto-fetch, search & CRUD
GitHub

• 🔗 LinkedIn
• 📷 Instagram
• 💻 GitHub
• 📄 Resume (PDF)

Curious. Creative. Consistent.
Always building. Always learning.