👋 Hey, I’m Ankur Verma
Android Developer | AI & LLM Enthusiast | Cybersecurity Learner
Information Technology Student — Krishna Institute of Technology, Ghaziabad (2024–2028)
📍 Lucknow, India | 📧 [email protected]
| 📞 +91 8574117424
🧠 About Me
I’m passionate about building impactful mobile and AI-powered applications that solve real-world problems.
My current focus is on integrating LangChain, LangGraph, and React Native to create intelligent, context-aware systems.
I enjoy experimenting with new technologies, optimizing user experiences, and helping others grow through mentorship and collaboration.
💼 Experience
DhipyCare — Android Developer Intern (Front-End)
Sept 2025 – Present
Optimized UI performance by reducing component re-renders and improving load times.
Implemented reusable React Native components to enhance maintainability and speed up development.
Integrated APIs and dynamic data handling for real-time updates and smooth interactivity.
MLSA KIET Led Work — Android Developer Coordinator
Sept 2025 – Present
Conducted interactive workshops on React Native & Firebase app development.
Mentored juniors on UI/UX design, project structuring, and app deployment.
Guided students in building meaningful mobile applications that address real-world needs.
🧰 Technical Skills
Languages: JavaScript, Java, C++, Python, C
Frameworks / Libraries: React JS, React Native, Tailwind CSS, LangChain, LangGraph
Databases: Firebase, MongoDB
Tools & Platforms: Git, VS Code, Expo
💻 Projects
🐾 Pet Care App (PawPal) — React Native | Firebase | Expo
Built a cross-platform mobile app for pet care and veterinary services.
Added real-time notifications, appointment booking, and rescue features for injured animals.
Focused on scalability, clean UI, and real-world animal welfare impact.
🎓 Student Utility Hub (UniVerse) — React Native | Figma
Implemented dynamic search and filtering for discovering student-focused services.
Designed responsive layouts and animations for a modern, engaging user experience.
🤖 AI Interview Preparation Platform — React Native | Tailwind CSS | Express.js | LangChain | LangGraph | Murf AI
Developed an AI-powered mock interview platform supporting both voice and text.
Used LangChain + LangGraph for contextual, adaptive interview flows.
Integrated modules for doctor booking and medical guidance as a healthcare extension.