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Somashekar Mutnal

@somashekarmutnal

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AI/ML engineer focused on building efficient, deployable deep learning and mobile-enabled AI solutions.

India

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What I'm looking for

I seek roles that let me build and deploy ML/AI products end-to-end, with opportunities for hands-on research, mobile integration, and measurable impact on performance and UX.

I am an AI and Machine Learning engineer with hands-on experience building deployable models and mobile-enabled AI applications driven by practical performance gains.

My work includes developing a voice-enabled Android chatbot using LLaMA-3.2 and Ollama, implementing FastAPI backends, and creating high-accuracy CNN models such as a VGG19-based brain tumor classifier achieving 92%+ accuracy.

I bring full-stack ML deployment skills across mobile and web, strong proficiency in Python and TensorFlow, and a track record of improving UX and system latency through thoughtful engineering and rapid prototyping.

Experience

Work history, roles, and key accomplishments

Research Intern

IIIT Dharwad

Feb 2025 - May 2025 (3 months)

Developed a voice-enabled Android chatbot using LLaMA-3.2 and Ollama, improving offline AI response accuracy by 25% and implemented FastAPI REST endpoints that reduced backend latency by 30%.

LLaMA 2 Ollama fastAPI Vosk Pyttsx3 Jetpack Compose Android

Web Development Intern

Springevening Private Limited

Feb 2023 - Apr 2023 (2 months)

Designed and styled responsive web pages for BitByte Foods, creating a navigation bar that improved mobile accessibility by 30% and optimized layouts for faster load times across devices.

HTML CSS Responsive Design Frontend Development UX collaboration

Education

Degrees, certifications, and relevant coursework

Basaveshwar Engineering College, Bagalkot

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2021 - 2025

Grade: 7.2 CGPA

Activities and societies: Member of Association of Intelligent Minds (AIM); volunteered at hackathon Wave-2.0 and college technical fest Venatus.

Pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning with a cumulative GPA of 7.2, focusing on applied ML projects and deployment.