Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.

Vue3 Gantt chart with powerful Resource View for task scheduling and resource planning.

⚡️ Transform AI/ML operations: Transparency, Control and Cost Optimization. ⚡️

A systems engineering simulator designed to optimize CPU scheduling and memory allocation. Built in C++, it demonstrates low-level resource management, algorithmic efficiency, and operating system principles. Focused on high-performance computing and hardware-software co-design.

A Kubernetes resource recommender that extends the API server to provide native suggestions.

Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

🧟 Outsmart the apocalypse, one instance at a time.

Scale-to-zero with wake-on-request for Kubernetes. Sleep idle services on a schedule, wake them instantly on HTTP access. Single pod, no CRDs, no sidecars.

The complete TRON infrastructure layer for AI agents. 55 tools, 30 prompts, 21 resources. Buy energy, send USDT, swap tokens, simulate transactions — all with automatic resource optimization. One config line.

MATLAB implementation of FairPlay - Fairness-driven Task Scheduling and Path Optimization in 6G Edge Networks

Smart Flight Crew Scheduling System

PromQL-driven distributed resource scheduler for OpenStack, policy-based live migration with aggregate-aware balancing or packing.

OptiPod is an open-source, Kubernetes-native operator that automatically rightsizes CPU and memory requests and limits for your workloads based on real-time and historical usage patterns.

Detect wasteful Kubernetes autoscaling: analyze CPU vs pod metrics to optimize on-prem cluster costs and performance.

Interactive Power BI analysis of 55,501+ patient records: demographics (age, gender, blood type), billing amounts, admission types, conditions, hospital load, and actionable insights for capacity planning and care delivery.

Healthcare operations intelligence case study focused on emergency department optimization, patient flow redesign, and avoidable ED utilization using large-scale encounter, provider, and SDOH analytics.

AI-powered Kubernetes resource optimization tool. Analyzes pod metrics and provides intelligent recommendations using GPT-4/Claude for cost reduction and performance improvement.

A comprehensive project showcasing the development of a Hospital Data Warehouse for Services Hospital Lahore, featuring ETL workflows, data mining with KNIME, and interactive Power BI visualizations to improve operational efficiency and patient care.

Analyze historical Prometheus metrics to generate optimized Kubernetes resource recommendations. Supports multi-namespace scanning, Slack notifications, and generates both YAML patches and detailed reports for cost optimization.