Capstone project
Adaptive LLM Inference Engine for Resource-Constrained Systems
A capstone project exploring efficient local LLM inference, model selection, and quantization for constrained environments.
LLM inference
Quantization
Edge systems
Santosh M
Building Intelligent Solutions. Creating Meaningful Experiences.
Software Developer and AI & ML Enthusiast focused on building thoughtful systems, practical interfaces, and software that feels precise in use.
Focused Work
AI systems, clean interfaces, and deliberate engineering.
Projects shaped by software, research, and careful implementation.
Professional experience
CoAI.Pro
Software engineering work on an AI-powered website generation platform, contributing to a product built around fast creation and useful output.
Full-stack
AI platform
Web tooling
Technical focus
A toolkit built for product-minded engineering and applied AI.
The work blends Python, JavaScript, React, Next.js, FastAPI, AI/ML, Git, and REST APIs with an interest in generative AI, LLMs, intelligent automation, and full-stack development.
Build
Interfaces
Responsive, precise, and simple to use.
Shape
Systems
Software that supports real product flow.
Explore
AI and ML with practical application.
Work that connects model thinking with production-minded software decisions.
Experience preview
Software engineering shaped by curiosity and applied problem-solving.
Currently pursuing B.Tech CSE (AI & ML) at Alliance University while contributing as a Software Engineer Intern at CoAI.Pro. The journey connects academic study with product work and a sustained interest in intelligent systems.
Education
B.Tech CSE (AI & ML)
Alliance University
Current role
Software Engineer Intern
CoAI.Pro
Explore My Work
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