GOWTHAM BHARATH N
AI // ANDROID DEVELOPER
AI // ANDROID DEVELOPER
Passionate Android Developer and AI Enthusiast focused on building scalable, high-performance mobile applications. Experienced in developing modern Android apps using Kotlin, Jetpack Compose, MVVM, and Firebase, while integrating intelligent features with TensorFlow Lite. Currently exploring Large Language Models (LLMs), Transformer architectures, and contributing to open-source projects. Committed to creating innovative software with clean architecture, exceptional user experiences, and real-world impact at gowthambharath.xyz.
Designed and developed the core Production Environment architecture used across the company to deploy production-ready apps. Built reusable modules, utilities, and clean architectural standards for development teams.
Built an internal developer testing environment for feature integration and debugging before merging to production, improving cross-team collaboration and deployment speeds.
Engineered an AI-powered home automation controller using voice processing to manage IoT devices and smart appliances directly from Android devices.
Developed a jewelry chit management platform enabling users to track installment schemes, monitor account ledgers, and execute secure online payments.
Built a conversational AI system from scratch without external pre-trained models. Written in Python, featuring custom text tokenization, intent recognition, and response matching.
Architected an algorithmic cryptocurrency trading bot. Implemented technical indicators, dynamic risk management parameters, and automated position execution modules.
A published habit tracking Android application built using Jetpack Compose, MVVM pattern, and Room Database following modern Android development guidelines.
A native retro arcade game engineered without external game engine dependencies to solidify core programmatic logic and released on the Play Store.
Real-time vehicle location system designed during a hackathon to provide live campus transit tracking and arrival notifications for students.
Assembled a high-performance workstation featuring an AMD Ryzen 5 9600X CPU and NVIDIA RTX 5070 GPU optimized for local LLM inference and compilation.
Contributed to 20+ internal tools and client projects including ViewMyMark and Digital Classroom, focusing on modular updates, bug fixes, and performance tuning.
Recognized for outstanding contribution, code quality, and problem-solving during the annual internal awards.
Completed a hands-on internship building production and developer tooling across the Skynet app ecosystem.
Earned the IBM Web Basics certification, demonstrating foundational knowledge of HTML, CSS, JavaScript, responsive web design, and core web development concepts.