Link Scheduling using Graph Neural Networks, IEEE TWC

Scalable, structured, dynamically-scheduled hyperparameter optimization.

Efficient/multi-storage/in-process-scheduling/distributed, like tbschedule in java, now available.

A simple distributed scheduler with support for scheduling HTTP and AMQP messages.

A fault-tolerant distributed job scheduler that delivers priority-based execution, tenant-aware fairness, and resilient checkpointed workloads with leader-elected high availability.

A high-performance distributed scheduling framework with higher concurrency and lower latency

Distributed Contract Execution Platform built with Spring Boot, Kafka, Redis, and PostgreSQL, implementing Event Sourcing, deterministic replay, idempotent execution, rule-driven workflows, distributed scheduling, and audit-compliant state reconstruction.

A task scheduler build on top of redis

python redis scheduler

A production-grade, distributed job orchestration engine built in Go, emphasizing explicit concurrency, resiliency patterns, and cloud-native readiness.

This project replaces broken tokenization heuristics for Roman Urdu-English text with a single-feature Ridge model, achieving 2.5× higher accuracy at an ultra-low latency of 0.003 ms. By eliminating subword underestimation, our ML-driven scheduler drops misrouted requests to 3.4%, cutting queue wait times by 28% over standard word heuristics.

A new ElasticJob Cloud on Kubernetes