// MLOps

AI Infrastructure Platform

Built scalable infrastructure for AI model training, model registry, automated deployment, GPU scheduling, and monitoring.

What we delivered

  • Built scalable model training infrastructure
  • Managed a model registry with MLflow
  • Automated model deployment pipelines
  • Scheduled GPUs with the NVIDIA GPU Operator
  • Monitored model performance and drift
// related work

More in Data & AI

Database Infrastructure

High Availability PostgreSQL Platform

Built highly available PostgreSQL infrastructure for mission-critical applications with automatic failover, streaming replication, connection pooling, backup automation, and performance tuning.

  • PostgreSQL
  • Patroni
  • PgBouncer
  • HAProxy
  • Prometheus
  • +1
Distributed Systems

Redis Enterprise Cluster

Implemented enterprise-grade Redis clusters providing distributed caching, session storage, pub/sub messaging, and high availability for cloud-native applications.

  • Redis Enterprise
  • Redis Sentinel
  • Redis Cluster
  • Docker
  • Kubernetes
Data Engineering

Cloud-native Data Platform

Designed a cloud-native analytics platform processing streaming and batch data into scalable warehouses for reporting, AI, and business intelligence.

  • Apache Kafka
  • Apache Spark
  • BigQuery
  • Snowflake
  • Airflow
  • +1

Have a similar project?

Tell us what you're building and we'll map the right architecture and delivery plan.

Start a project All projects