🚀 AI Systems | LLM Architecture | Runtime Design | Cloud | DevOps
⚡ Building engines, frameworks, and intelligence models — not just apps
☁️ Azure • Kubernetes • Python • .NET • GenAI • Observability • Automation

Focused on designing scalable systems for Large Language Models, intelligence architectures, runtime control, and developer infrastructure.

https://github.com/studentleaner/ContextFlow

ContextFlow is a context pipeline engine for Large Language Models with:

• Token budgeting
• Context compression
• Provider routing
• Context caching
• Multi-mode execution
• Plugin architecture
• Runtime orchestration

Keywords:
LLM • GenAI • Context Engineering • Prompt Engineering • AI Infrastructure • Runtime

https://github.com/studentleaner/IntelliGenesis

Research project exploring how intelligence can be modeled as modular yet unified systems.

Topics include:

• Human intelligence modeling
• Cognitive architecture
• Modular reasoning systems
• AI system design
• Neuroscience inspired architectures

Keywords:
AI Research • Cognitive Architecture • Intelligence Models • AGI Concepts • LLM

https://github.com/studentleaner/Axiom

Axiom explores structured planning, execution graphs, and system architecture for complex AI pipelines.

Focus areas:

• Plan generation
• Dependency graphs
• Execution modeling
• Runtime separation
• System design

Keywords:
AI Systems • Planner • Compiler • Architecture • Runtime • LLM

https://github.com/studentleaner/Aegis

Aegis experiments with protection, validation, and guard layers for AI and software systems.

Focus areas:

• Runtime validation
• Policy gates
• Safety checks
• Schema enforcement
• Control layers

Keywords:
AI Safety • Runtime Guard • Validation • Control Layer • DevTools

https://github.com/studentleaner/A-24-Hour-Startup-OS

Framework for building startup systems using automation, templates, and reusable architecture.

Focus areas:

• Automation
• DevOps pipelines
• System templates
• Rapid prototyping
• Infrastructure setup

Keywords:
Automation • DevOps • Startup Tools • System Design • Framework

• Python
• .NET / C#
• Azure Cloud
• Kubernetes
• Docker
• DevOps / CI-CD
• Observability (Grafana / Loki / Tempo / Mimir)
• LLM / GenAI
• Prompt Engineering
• Context Engineering
• Runtime Architecture

• LLM systems
• AI architecture
• Intelligence modeling
• Runtime systems
• Cloud architecture
• DevOps automation
• Observability
• Execution engines
• Validation / safety layers
• System frameworks

• ContextFlow development
• Intelligence architecture research
• LLM runtime optimization
• Execution / planner / guard systems
• AI infrastructure design

Interested in collaboration on:

• AI / LLM systems
• Runtime / execution engines
• Cloud / DevOps tools
• Research experiments
• Open source infrastructure

Use GitHub Issues / Discussions for collaboration.