Building Intelligent Software for Real-World Problems.
Resource-Constrained Systems is the personal brand of a Software Engineer and AI/ML Developer focused on practical software, efficient inference, and dependable web systems.
Adaptive LLM Inference Engine for Resource-Constrained Systems
Efficient local AI inference, model selection, and quantization.
A developer focused on practical systems and clear interfaces.
Based in Bengaluru, India, Resource-Constrained Systems works across software engineering and AI/ML development with an emphasis on shipping reliable products, keeping systems lean, and making complex ideas usable.
The work spans Python, JavaScript, Next.js, FastAPI, Supabase, Git, REST APIs, and AI/ML, with a preference for thoughtful implementation over unnecessary complexity.
Focus
- →Software engineering for dependable product delivery.
- →AI/ML development with attention to local inference and efficiency.
- →Interfaces and APIs that stay clear as systems grow.
Clean, reliable tools for product work.
Development
Python, JavaScript, Next.js, FastAPI, and Git.
APIs
REST APIs and Supabase-backed data flows.
AI/ML
Model selection, quantization, and local inference workflows.
Systems
Product-minded implementation for resource-aware software.
Adaptive LLM Inference Engine for Resource-Constrained Systems
The work sits at the intersection of practical software engineering and AI/ML implementation.
What it shows
- →Efficient execution on constrained hardware.
- →Careful model selection for practical inference.
- →Quantization-minded engineering decisions.