🎓 3rd Year B.Tech CSE Student @ JIIT Noida
Passionate about Data Structures & Algorithms, Android Development, and AI/ML Systems
Actively exploring Agentic AI, Cloud Computing, and Applied Research

• Building AI-powered apps that combine intelligence, security, and user wellness
• Experienced in Flutter, Firebase, and Google Gemini API for full-stack mobile solutions
• Skilled in C++, Kotlin, Python, and Dart
• Strong foundation in DSA, OOP, OS, DBMS, CN, and ML concepts
• Currently upskilling in Gen AI and Agentic AI Systems

• Generative & Agentic AI – integrating reasoning models into real-world systems
• Cross-Platform Development – Flutter + Firebase full-stack builds
• Backend Engineering – DSA-heavy systems and optimization algorithms
• AI Security & Ethics – merging intelligence with responsible design

Flutter | Firebase | Google Gemini | AES Encryption

An AI-enhanced, encrypted communication app for study groups and mental wellness.

Key Features

• End-to-End AES Encryption
• Google Gemini AI integration for chat summarization and sentiment analysis
• NLP-based smart reminders (“Remind me tomorrow…” → Auto Reminder)
• Focus Mode with Pomodoro analytics and distraction tracking
• Performance Metrics:
• <100ms message delivery latency
• <50ms encryption overhead
• 2–3s AI summary generation
• Offline sync with Firebase persistence

Impact: Used by multiple study groups for real-time collaboration and focus management.
Skills Highlight: Flutter, Firebase, AI Integration, Data Security, UX Design

PyTorch | Diffusion Models | NLP | Research Project

Generates rhythm-synchronized 3D human dance motion from textual prompts.

Highlights:

• Supports 4 dance styles (Hip-Hop, Ballet, Pop, Breakdance)
• Implements rhythm-aware procedural diffusion logic
• Generates motion GIFs directly in Colab
• Includes full research paper, synopsis, and PPT

Recognition: Guided by Dr. Alka Singhal (JIIT) as a minor project & research publication.
Skills Highlight: Generative AI, Deep Learning, Data Visualization, Research

C++ | Dijkstra | Greedy | Knapsack Algorithms

Backend simulation for real-time disaster management and relief routing.

Key Features:

• Dynamic pathfinding with Dijkstra & Greedy approaches
• Real-time route and volunteer allocation simulation
• Optimized resource distribution using Knapsack logic
• Persistent file I/O for data tracking

Skills Highlight: C++, DSA, Graph Algorithms, Problem Solving, Backend Simulation

• Solved 1000+ DSA problems across LeetCode & GFG
• 1750+ LeetCode rating (Top 10%)
• Completed Striver’s A2Z DSA Sheet (450+ problems)
• Open Source Contributor @ GSSOC’25
• Enhanced app security, UX, and features in Flutter-based fitness app
• Improved session retention by 25% through gamified features
• Research Paper on AI-based Motion Diffusion Model under publication review

• Building intelligent systems where AI enhances focus, productivity, and human connection
• Exploring Agentic AI with LangGraph & AutoGen for self-reasoning apps
• Upskilling in Cloud (AWS/GCP) for scalable deployment
• Targeting AI/ML, Android, or Full-Stack Internship Roles at top product companies

• Recognized as Top Contributor @ GSSOC’25
• Research paper shortlisted for college-level publication under faculty guidance
• Ranked in top 10% on LeetCode contests

• Email: [email protected]
• LinkedIn: linkedin.com/in/aditya-chaturvedi-8b7776302
• GitHub: github.com/Aditya-dev2005

⭐ “Technology that doesn’t serve humans isn’t intelligence — it’s automation.”
Built with ❤️ by Aditya Chaturvedi