I'm the CTO of Zurniz.com, a platform inviting travelers worldwide to explore the beauty and culture of India.
With expertise in web development, AI/ML, LLMs, and data analysis, I’m passionate about building innovative solutions across multiple domains.

• Frontend: HTML, CSS, JavaScript, React.js, Tailwind CSS
• Backend: Node.js, Java, Spring Boot, Express
• Databases: SQL, MongoDB
• Cloud & DevOps: Google Cloud Platform (GCP) (Learning)
• AI & ML: Machine Learning, Deep Learning, Large Language Models (LLMs), RAG (Retrieval Augmented Generation), Agentic AI
• Libraries: Pandas, Matplotlib, NumPy, Scikit-learn
• Frameworks: Spring AI, LangChain
• Tools: Git, GitHub, VS Code, Rewgramright Pro
• Specialties: UI Design, Responsive Design, Real-time Collaboration, Virtual Reality Experiences, Text-to-Embedding Models

A travel platform inviting foreign tourists to experience India with hassle-free, curated tours.
Focused on UX design, targeted social media ads, and content that showcases India’s wonders.

• Tech Stack: Tailwind CSS, React.js, Node.js, MongoDB
• Features: OTP-based authentication, Razorpay integration, automated email notifications
• Purpose: Streamlines BGMI tournament organization and participation.

• Tech Stack: Java, Spring Boot, React
• Features: Registration, article sharing, rich text editor UI (Wikipedia-like)
• Purpose: A collaborative platform for users to share views or articles.

• Tech Stack: HTML, CSS, JavaScript
• Description: Generates secure passwords with customizable character sets and provides real-time feedback on password strength.

• Tech Stack: HTML, CSS, JavaScript
• Purpose: A cross-platform file manager for managing files seamlessly.

Built a custom text embedding model using tokenization, vocabulary creation, and neural network embedding layers for semantic vector representations.

Designed and implemented a minimal transformer-based language model, trained on small datasets to understand LLM architecture.

Developed experimental Retrieval-Augmented Generation pipelines and LangChain-based AI agents for knowledge-based chat applications.

Building applications integrating Spring AI APIs with LangChain workflows for production-ready AI services.

• Cloud Engineering: Deep diving into Google Cloud Platform (GCP) to understand cloud solutions.
• AI & ML/DL: Advancing knowledge from classical ML models to modern deep learning architectures, transformers, and LLMs.
• LangChain & RAG: Exploring how to build agentic AI pipelines with powerful retrieval systems.
• Node.js & Backend: Strengthening backend foundations and building AI-first applications.
• Virtual Reality: Exploring VR experiences to potentially integrate immersive features in projects.

• HackerRank 3-Star in Java.
• Hands-on experience in machine learning, deep learning, embeddings, and LLM fine-tuning.
• Extensive self-learning and practical experience in data structures, algorithms, and AI-powered app development.

• Custom Live Chat Software: Inspired by Tawk.to, aiming to create a seamless customer support solution.
• Enhanced Blogging Platform: Implementing a rich, Wikipedia-style text editor UI.
• AI Search Engine with RAG: A semantic search platform using embeddings + LangChain.
• Real-time Collaboration Software: Developing a real-time, multi-user platform for content creation.
• Cross-Platform Innovations: Continuing to explore solutions that improve user accessibility and experience across platforms.

I’m excited to connect with other developers and AI enthusiasts!
Though not very active on social media, you can reach out here to collaborate or learn more about my projects.

Thank you for visiting my profile!