Projects

Projects

A closer look at the work Santosh M is building through software, AI experiments, and applied research.

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Featured focus

Software systems, LLM inference, and AI product experiments.

A few projects and experiments that shape the work

Each project reflects a different part of Santosh M's practice — shipped systems, academic exploration, and hands-on model experimentation.

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CoAI.Pro internship

AI-powered website generation

Work contributing to web applications and generative AI features that help shape website creation experiences.

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Academic capstone

Adaptive LLM Inference Engine

An academic capstone centered on efficient inference for language models on resource-constrained devices.

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Local experiments

Local LLM experiments with Ollama, Qwen, and Llama

Hands-on experimentation with local model workflows, prompt behavior, and practical inference setups.

Working style

How the work is approached

Santosh M's projects move between product thinking, implementation, and experimentation. The result is work that stays practical while still leaving room for exploration.

Build

Interfaces that feel clear

Design stays simple so the software does the heavy lifting without extra noise.

Probe

Model behavior in real conditions

Local experimentation helps surface how models respond when tools, constraints, and prompts change.

Refine

Iterate with precision

Each project is shaped by experimentation, review, and careful adjustment rather than guesswork.

A laptop beside a notebook and diagrams

Practice note

A steady rhythm of implementation and experimentation.

Next conversation

If you want to talk projects, reach out

For collaborations, questions, or a deeper look at the work, use the contact path on the home page.

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