Headline

AI Mobile Engineer (Flutter) | Building AI Assistants • RAG Systems • Voice AI • Hugging Face | Learning LLMs

About

AI-Powered Mobile App Developer | Expert in Flutter & AI Integration 🚀 Creating Intelligent, AI-Driven Mobile Experiences I specialize in AI-powered mobile app development, combining Flutter, Machine Learning, and NLP to build intelligent, high-performing applications. My expertise lies in developing AI-driven chatbots, smart assistants, and automation tools that enhance user experience and optimize workflows. With hands-on experience integrating OpenAI APIs, Google Gemini AI, and AI-based automation, I create applications that offer real-time interactions, smart decision-making, and intuitive user engagement. My strong background in FastAPI, Firebase, and cloud-based solutions ensures seamless AI integration and backend efficiency. 🔥 Key Skills & Expertise: ✔ AI-Powered Mobile App Development (Flutter, Dart, AI APIs) ✔ Machine Learning & NLP Integration (OpenAI, Google Gemini AI, TensorFlow) ✔ AI Chatbots & Virtual Assistants (FastAPI, LLMs, Google Dialogflow) ✔ Cloud & Backend Development (Firebase, REST APIs, SQL) 📌 Let’s Connect! I'm passionate about AI-integrated mobile applications, automation, and intelligent solutions. Let’s collaborate and bring AI-driven innovation to the next level! 🔗 Portfolio & GitHub: guru-prasath-j 📩 Email: guruprasathjay@gmail.com 🔗 LinkedIn: Guruprasath J

Location

India

AI stack

claude code

claude

codex

github copilot

hugging face

huggingface

Work experience

SDE -1 at Meril, Oct 2025 - Present · 1 yr 1 mo, Bengaluru

Software Engineer at thinQ24™ Innovations | Hiring!, Jul 2024 - Sep 2025 · 1 yr 3 mos, Chennai, 🚀 Key Achievements: • 🏆 Awarded "Rising Star" just 4 months into joining the company—recognized for outstanding performance, rapid growth, and impactful contributions across projects. • Engineered a high-performance cross-platform mobile application using Flutter (Android & iOS), implementing persistent geo-tracking and background task optimization. • Integrated native platform-specific features with Kotlin (Android) and Swift (iOS), including push notifications, camera, and sensor APIs. • Built an AI-powered interviewer module using Google ML Kit for real-time decision-making and analytics. • Applied robust state management strategies (Provider, BLoC, GetX) to streamline app architecture and boost maintainability. • Leveraged Firebase Firestore and Firebase Authentication for secure, real-time cloud operations. • Achieved a 30% improvement in app responsiveness by following clean code and Dart best practices.

Education

Bachelor of Engineering - BE, Computer Science, ANNAI MIRA COLLEGE OF ENGINEERING AND TECHNOLOGY

Holy Cross Matriculation Higher Secondary School