What programming languages and frameworks do you use?

He specializes in Node.js, Express, Javascript/ES6, PHP, MySQL, Supabase, Python, OpenCV, and frontend tools like Tailwind CSS. He also integrates Large Language Models (LLMs) like Claude and ChatGPT into production environments using Groq and other APIs.

Are you open to freelance projects or full-time opportunities?

Yes! Dhaval is fully open to contract, freelance projects, and full-time remote developer opportunities. He is located in Ahmedabad, Gujarat, India, and works with clients globally.

Frequently Asked Questions (FAQ)

1. What is Dhaval's educational background and core expertise?

Dhaval Prajapati holds an MCA (Master of Computer Applications) degree from LJ University, Ahmedabad. His core expertise lies in AI-driven full-stack web development, backend engineering, database optimization, and ROI-focused SEO Specialist Ahmedabad consulting.

2. What programming languages, databases, and frameworks do you use?

Dhaval's technical stack is highly diverse and built for performance:

Core Backend: Node.js, Express, JavaScript (ES6+), PHP, Python, Flask
Databases & Storage: MySQL, Supabase (PostgreSQL), SQLite
Core Frontend: HTML5, CSS3, Vanilla JavaScript, Tailwind CSS (CDN and styling configurations)
Hardware & Vision: Arduino, IR Sensors, I2C LCD, webcam-based OpenCV few-shot learning

3. How do you integrate Large Language Models (LLMs) into web apps?

Dhaval integrates state-of-the-art LLMs (such as Claude 3.5, ChatGPT, LLaMA 3.3) into standard Express and Flask backends using high-speed inference engines like Groq API, rendering dynamic customized output (like meal plans, workouts, and study templates) in real-time. He focuses on low-latency response delivery and clean parser formatting.

4. Are you open to freelance work or full-time developer roles?

Yes, absolutely! Dhaval is currently accepting freelance contracts and is highly interested in full-time remote AI Web Developer or Full-stack Engineer roles. You can get in touch directly via the contact form or email.

5. How does your Dynamic Card pre-rendering (SSR) improve SEO?

Unlike standard single-page applications that render card elements entirely client-side using JavaScript (which search crawlers sometimes miss or rank lower due to render delays), our Express backend intercepts page calls, pre-renders project and blog cards server-side, and serves fully structured HTML cards on the very first HTTP request. This speeds up First Contentful Paint (FCP) and optimizes search crawlability.