AI & ML Engineer
Building intelligent systems that bridge the gap between artificial intelligence and real-world applications. Specializing in voice assistants, semantic search, NLP solutions, and custom Android ROM & kernel development.
I'm an AI & ML Engineering graduate from Visvesvaraya Technological University with a passion for building intelligent systems that solve real-world problems.
My journey in artificial intelligence began with a fascination for how machines can understand and process human language. This led me to develop various projects including an offline voice assistant, semantic search systems, and predictive models.
Currently, I'm focused on NLP applications, particularly in building scalable semantic search systems and voice-enabled AI solutions. Additionally, I develop custom Android ROMs and kernels, optimizing performance and bringing the latest features to devices. I believe in continuous learning and staying updated with the latest advancements in AI/ML and Android development.
Visvesvaraya Technological University
2021 - 2025 | CGPA: 7.99
Designed a scalable semantic search system that can process articles of 150 years using FAISS-based semantic search, enabling efficient retrieval of historical content.
Worked on model deployment, DevOps automation, and containerized applications. Gained hands-on experience with Docker and deployment pipelines.
Developed smart solutions using Python and Android tools, focusing on creating practical applications for everyday problems.
Built basic machine learning models and performed data analysis, laying the foundation for advanced ML concepts and techniques.
Built an offline voice assistant using Raspberry Pi, integrating Vosk for speech-to-text, Piper for text-to-speech, and FAISS-based semantic search for intelligent query handling. Published in IJCRT journal.
Building and maintaining custom Android ROMs and kernels for Redmi 12C (earth). Focused on performance optimization, battery life improvements, and system-level customizations. Includes kernel modifications, driver optimization, and AOSP-based ROM development with enhanced features and stability.
Developed a regression model to predict used car prices using various features and machine learning algorithms. Part of PragyanAI initiative.
Analyzed restaurant data for trends in ratings, cuisine preferences, and location-based insights using data visualization and statistical techniques.
I'm always interested in hearing about new projects and opportunities. Whether you have a question or just want to say hi, feel free to reach out!