Adaptive LLM Inference Engine
An adaptive engine for resource-constrained systems, focused on efficient local AI inference, model selection, and quantization.
Software Engineering · AI/ML Development
Building Intelligent Software for Real-World Problems.
Santosh M builds software and AI systems with a focus on practical engineering, local inference, and clean product thinking.
Focused delivery
Software engineering, AI systems, and product-minded implementation.
Projects
Engineering Practice
Backend APIs, modern web interfaces, and practical systems built with Python, JavaScript, Next.js, FastAPI, Supabase, Git, and REST APIs.
Services
Software engineering support for product ideas that need to ship.
Build
Frontend systems
Interfaces shaped with responsive layouts, clear hierarchy, and durable component structure.
Ship
Backend APIs
FastAPI and REST-based backends designed for practical integration and scalable product flow.
Tune
AI/ML workflows
Model selection, local inference strategies, and practical engineering for constrained environments.
Connect
Product prototyping
Lightweight experimentation that turns early concepts into working software fast.
About
A personal portfolio built around engineering depth.
Santosh M focuses on software engineering and AI/ML development with an interest in building efficient systems, clear interfaces, and practical tools.
Experience
CoAI.Pro internship
Professional experience at CoAI.Pro, presented here as part of the background that shaped the work.
Technical toolkit
Python, JavaScript, Next.js, FastAPI, Supabase, Git, REST APIs, and AI/ML.
Contact
Explore the work or start a conversation.
Find Santosh M on GitHub and LinkedIn, or use the form to send a message.