Chakradhar Gavirineni

Mobile & AI Developer

Passionate about crafting innovative mobile experiences and leveraging Artificial Intelligence to solve real-world problems. Based in [Your Location].

About Me

Highly motivated and results-oriented developer with [Number] years of experience specializing in native and cross-platform mobile application development (iOS, Android, Flutter/React Native) and implementing AI/ML solutions. Proven ability to design, develop, and deploy user-centric applications and intelligent systems. I thrive in collaborative environments and am constantly exploring emerging technologies in the mobile and AI space to build cutting-edge products. My goal is to create impactful technology that enhances user interaction and provides intelligent insights.

Technical Skills

Mobile Development

  • iOS (Swift, Objective-C)
  • Android (Kotlin, Java)
  • Flutter / Dart
  • React Native
  • SwiftUI / Jetpack Compose
  • Mobile UI/UX Principles
  • App Store Submission

AI & Machine Learning

  • Python
  • TensorFlow / Keras
  • PyTorch
  • Scikit-learn
  • NLP
  • Computer Vision (CV)
  • Data Analysis (Pandas, NumPy)
  • ML Ops

Backend & Tools

  • Node.js / Express
  • Python (Flask/Django)
  • RESTful APIs / GraphQL
  • Firebase / Supabase
  • Docker
  • Git / GitHub
  • Agile / Scrum
  • Cloud (AWS/GCP/Azure)

Experience

Senior Mobile & AI Engineer

[Current/Previous Company]

[Start Date] - Present | [Location]
  • Lead development of flagship app.
  • Integrated [AI feature].
  • Mentored junior developers.

Mobile Developer

[Previous Company]

[Start Date] - [End Date] | [Location]
  • Developed features for app.
  • Optimized performance.
  • Gained experience with [Tech].

Software Engineer Intern

[Internship Company]

[Start Date] - [End Date] | [Location]
  • Assisted senior engineers.
  • Learned SDLC.
  • Contributed to small project.

Featured Projects

AI-Powered Recipe App

Mobile app suggesting recipes via CV model.

FlutterDartTF Lite

Real-time Translation Chat

Native app using cloud NLP APIs.

SwiftKotlinFirebaseNLP

ML Model Deployment Pipeline

CI/CD using GitLab CI, Docker, Flask.

PythonDockerGitLab CIML Ops

Blog Posts

Exploring the Power of SwiftUI Animations

Published on: March 15, 2025

A deep dive into creating smooth and engaging animations in iOS development using Apple's declarative UI framework, SwiftUI...

Getting Started with TensorFlow Lite on Android

Published on: February 28, 2025

Learn how to integrate and run pre-trained machine learning models directly on Android devices using TensorFlow Lite for tasks like image classification...

Cross-Platform Development: Flutter vs. React Native in 2025

Published on: January 20, 2025

An updated comparison of the two leading cross-platform mobile development frameworks, looking at performance, developer experience, and community support...

Education & Certifications

[Degree Name]

[University Name]

[Year] | [Location]

[Degree Name]

[University Name]

[Year] | [Location]

[Certification Name]

[Issuing Body]

[Date]

[Certification Name]

[Issuing Body]

[Date]

Get In Touch

I'm always interested in discussing new projects, creative ideas, or opportunities in the Mobile and AI space. Feel free to reach out!