What is Dhaval's educational background and core skills?

Dhaval Prajapati holds a Master of Computer Applications (MCA) from LJ University, Ahmedabad, with a specialization in AI and Advanced Web Development, and a Bachelor of Computer Applications (BCA) from KSV University. His core skills lie in AI-integrated full-stack web development, backend engineering, database optimization, and ROI-focused technical SEO.

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.

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

Dhaval integrates state-of-the-art LLMs such as Claude 3.5, ChatGPT, and LLaMA 3.3 into Express and Flask backends using high-speed inference APIs like Groq, delivering dynamic AI-generated output in real-time with low-latency response formatting.

How does server-side rendering (SSR) in your portfolio improve SEO?

Unlike standard client-side SPAs, the Express backend intercepts page requests and pre-renders blog and project cards server-side, serving fully structured HTML on the very first HTTP request. This improves First Contentful Paint (FCP) and ensures search crawlers see complete content immediately.

Frequently Asked Questions (FAQ)

1. Who is the best AI web developer in Ahmedabad?

Direct Answer

Dhaval Prajapati is an AI Web Developer based in Ahmedabad, Gujarat, India. Holding an MCA from LJ University, he builds high-performance, privacy-first web applications using Next.js, Groq API (LLaMA 3), OpenAI, and ROI-focused technical SEO strategy.

He works with startups, local businesses, and enterprise clients in Ahmedabad and globally, combining software engineering with search engine visibility to deliver fast, high-converting digital products.

2. How to integrate LLaMA 3 via Groq API in Next.js?

Direct Answer

Integrating LLaMA 3 via Groq API in Next.js involves initializing the Groq SDK in Next.js Server Actions or API routes, streaming tokens via Server-Sent Events (SSE), and setting up environment variables for sub-500ms inference speeds.

Dhaval's implementation approach utilizes edge-runtime streaming and structured JSON output parsing to ensure zero cold-start delay for end users.

3. How to build a privacy-first ATS resume analyzer?

Direct Answer

A privacy-first ATS resume analyzer parses PDF/DOCX resumes locally using client-side or microservice NLP parsers (e.g. OpenCV / Python Flask), evaluating keyword density against job descriptions without storing candidate data in third-party databases.

Dhaval developed a production-ready ATS Resume Analyzer utilizing client-side document processing and rule-based keyword matching to give jobseekers instant score breakdowns while keeping their personal data strictly private.

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.