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Hi, I'm Dhairya Pandya 👋, a passionate mobile app developer working with iOS and Android 📱 to create intuitive, user-friendly apps. I love learning new technologies 💻, problem-solving 🧩, and regularly tackle challenges on LeetCode and GeeksforGeeks 🔍. I'm also exploring competitive programming ⚔️ and enjoy collaborating with others who share similar interests 🤝. Follow me on Twitter to join my journey! 🌈
name: "Dhairya Pandya"
role: "Software Engineer | Mobile & Full-Stack Developer"
achievements:
- "Ranked 36th out of 3,362 in GFG University rankings (Top 1%)"
- "Top 0.4% of LeetCode programmers in 2024 with a 230+ day streak"
- "Ranked 313 out of 27,450 in LeetCode Weekly Challenge 178 (Highest rated: 1546)"
- "Ranked in the top 7% of GFG coders (140th out of 2,025, highest rating: 1816)"
- "Published multiple applications on Google PlayStore"
- "Top 10 in CVMU Hackathon for Augmented Reality Mobile experience"
skills:
- "Android Development (Kotlin, Jetpack Compose)"
- "Mobile Application Development"
- "Frontend Development (Svelte, SvelteKit, Tailwind CSS)"
- "Full-Stack Development (Node.js, Firebase, GCP)"
- "Problem Solving & Algorithms (DSA, LLD)"
- "Computer Vision (OpenCV, NumPy, Matplotlib)"
- "C, C++, C#, Python, Java, JavaScript"
- "Unity 3D, ARCore"
education:
degree: "Bachelor of Technology in Computer Engineering"
university: "Charotar University of Science and Technology (Charusat)"
CGPA: "8.79/10"
specialization: "Frontend Development, Mobile App Development & Algorithm Design"
experience:
- "SDE-I at Urbano Infotech (Nov 2024 – Present)"
- "R&D Software Developer Intern at STPL Global (Dec 2023 – June 2024)"
- "Mobile Application Developer at One17 Technologies (June 2022 – July 2022)"
- "Hackathon Top Performer (CVMU Hackathon, Ranked Top 10)"
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A QR Code Generating & Scanning application built with Java, Kotlin, Jetpack Compose. Achieved 97.4% device compatibility by revamping the project using the latest Jetpack Compose. Optimized benchmarks over 15 iterations, reducing the 95th percentile frame timing to 265.6 ms and frame overrun to -2.6 ms, enhancing UI performance. 🔗 GitHub Repo | 🎬 Live Demo | 📜 LLD |
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A commuting application built using Java, Kotlin, Firebase, GCP, NodeJS. Features Google Assistant integration for hands-free navigation, optimized image storage by 80.61%, and implemented Firestore-based real-time updates. 🔗 GitHub Repo | 🎬 Live Demo | 📜 LLD |
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This project leverages Unity 3D, AR Foundation, XR Development, ARCore, and ARKit to visualize human anatomy in an interactive 3D AR experience. Features include real-time rotation, scaling, glow effects, and realistic lighting to enhance learning. 🔗 GitHub Repo | 🎬 Live Demo |
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