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πŸ‘‹ Hi, I’m Mohammed Varaliya (@Mohammedvaraliya)

I'm a passionate Full Stack Developer πŸ’» and an MCA graduate πŸŽ“ from KJ Somaiya Institute of Management, Mumbai. As an analytical problem solver 🧠, I combine creativity 🎨, persistence πŸ’ͺ, and a strong attention to detail πŸ” to build efficient and scalable solutions. Driven by a deep passion for coding πŸ’‘, I continuously sharpen my skills and strive to develop innovative technologies that challenge conventions and create real-world impact.


🌟 About Me

  • πŸ”­ Interests Full-stack development, Artificial Intelligence, Data Structures & Algorithms, and building scalable web application.
  • 🌱 Currently Learning: Deepening my understanding of AI and exploring advanced data structures and algorithms to enhance problem-solving skils.
  • 🀝 Looking to Collaborate: Open to collaborating on projects involving full-stack development, AI integration, and innovative tech solutins.
  • 🎯 Goal: To develop innovative and efficient tech solutions that address real-world challenges, while continuously honing my skills to stay at the forefront of technological advancemnts.

πŸ“Š GitHub Stats & Achievements

GitHub Stats Top Languages

πŸ›  Tech Stack & Tools

Languages & Frameworks

Python Java JavaScript Node.js Django React Angular Java Maven Spring

Databases & Cloud

MongoDB MySQL Postgresql Firebase Appwrite

Tools & Platforms

Git HTML5 CSS3 Bootstrap Tailwind CSS Material UI Shadcn TensorFlow Notion Figma Canva


πŸ“š Research & Publications

While I am not currently active in academic research, I have authored and contributed to two published research works focused on the integration of Large Language Models (LLMs) in Higher Education systems. These projects involved collaboration with a PhD guide, deployment of LLM-powered chatbots, and detailed evaluation of AI performance within academic environments.

πŸ‘¨β€πŸ”¬ Research Highlights

  • Developed and deployed two LLM-powered chatbots tailored for higher education institutions.

  • Conducted 50+ literature reviews and collaborated with a PhD guide on research design and writing.

  • Evaluated AI models across 300+ queries, achieving:

    • Average response time: 5 seconds

    • Relevancy score: 0.93 (OpenAI GPT-3.5), 0.96 (Google Gemini 1.0)

πŸ”¬ Research Paper (Under Review)

  • Title Revolutionizing Higher Education Institute Query System by Linking Custom Knowledge Base with Large Language Model

    Conference: Hybrid Intelligent Systems (HIS 2023)

    Link: Read Paper

    Description: Explores a novel method of enhancing academic query systems by integrating LLMs with custom knowledge bases, using real-world data from Mumbai-based institutions.

πŸ“– Research Journal

  • Title: Optimizing Automated Conversational Large Language Models for Higher Educational Institutios

    Journal: International Journal of Computer Information Systems and Industrial Management Applications (IJCISM 2024)

    Link: Read Paper

    Description: Investigates the performance of conversational AI systems built with LLMs for academic environments, comparing outputs from OpenAI GPT-3.5 and Google Gemini 1.0.


πŸ“« Let's Connect!

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πŸ˜„ Pronouns: He/Him


Thanks for visiting! Let's innovate together. πŸš€


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