Software Engineer | AI Product Builder

Santosh M

I build intelligent software experiences and explore Generative AI.

Final-year B.Tech CSE (AI & ML) student at Alliance University, Bengaluru, with practical experience building AI-powered web applications.

Portrait of Santosh M

Focus areas

Software engineering, generative AI, and building practical products with Python and LLMs.

Projects shaped by software and AI experimentation.

CoAI.Pro

AI-powered website generation

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Contributed to a platform focused on generating websites and web applications with AI-assisted workflows.

Adaptive LLM Inference Engine

Capstone research project

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An academic exploration of efficient LLM inference on resource-constrained devices.

Expertise

A practical mix of engineering, AI, and product thinking.

Software

Web applications

AI

LLMs and Generative AI

Language

Python

Models

Ollama, Qwen, Llama

About

Focused on building useful AI products and learning from real systems.

I’m a final-year B.Tech Computer Science and Engineering (AI & ML) student at Alliance University, Bengaluru. I work on software systems, generative AI experiments, and product ideas that can live in the real world.

My interests center on Software Engineering, Artificial Intelligence, Generative AI, Large Language Models, Python, and practical product building.

Education & experience

Alliance University

B.Tech Computer Science and Engineering with a focus on Artificial Intelligence & Machine Learning.

CoAI.Pro internship

Software Engineer Intern contributing to AI-powered website generation and web applications.

Local LLM experiments

Hands-on experimentation with Ollama, Qwen, and Llama models while building practical understanding of inference and deployment.

Projects

Three places where the work is visible.

laptop and notebook on a desk

CoAI.Pro

AI-powered website generation

Experience contributing to a product that uses AI to generate websites and web applications.

notes and electronics on a desk

Adaptive LLM Inference Engine

Efficient inference on constrained devices

A capstone project exploring how to make LLM inference more efficient on resource-limited hardware.

server rack with cables and monitor glow

Local LLM experiments

Ollama, Qwen, and Llama

A hands-on space for experimenting with local models and understanding how generative systems behave in practice.

Get in Touch

Get in touch

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