Big Data, Real-Time Streaming,
AI/MLOps & Vector Search

From IBM-certified Hadoop to production RAG architectures โ€” we engineer modern data platforms that power AI-driven enterprises.

Production AI Engineering & Vector Search

RAG Architecture Design

  • End-to-end RAG with vector search
  • Hybrid BM25 + vector with RRF
  • Multi-tenant scalable vector search
  • LLM integration with enterprise data
  • Kafka + Spark real-time embeddings

Vector Database Engineering

pgvectorPineconeWeaviateOpenSearch
  • HNSW, IVF, PQ indexing
  • Binary quantization for storage
  • Multi-tenancy with isolation
  • OpenAI, Cohere embeddings

MLOps & ML Pipelines

  • Feature store design
  • MLOps CI/CD for models
  • MLflow and Kubeflow
  • Production ML monitoring

AI-Enabled Observability

  • AI-driven proactive detection
  • Intelligent query optimization
  • Anomaly detection for metrics
  • OpenTelemetry tracing

Enterprise Big Data Platform Engineering

Hadoop Ecosystem

HDFS 3.3YARN 3.3
  • IBM Certified: Hadoop Administration
  • HDFS NameNode HA
  • YARN Capacity/Fair schedulers
  • Ranger authorization
  • Hive 4.x LLAP

Apache Kafka & Spark

Kafka 3.xSpark 3.5
  • Kafka topic design, KRaft
  • Debezium CDC connectors
  • Spark 3.5 ETL optimization
  • Spark Structured Streaming

Lakehouse & Cloud Analytics

Databricks 14.xDelta Lake 3.x
  • Databricks Lakehouse Certified
  • Unity Catalog
  • Delta Lake ACID, time travel
  • AWS Glue 4.0 ETL

Analytics & Reporting Platforms

Apache Superset

  • Rich dashboard design
  • SQL Lab optimization
  • Docker/Kubernetes deployment
  • Row-level security

Tableau

  • Server/Cloud administration
  • Live vs extract optimization
  • Tableau Prep Builder
  • Embedded Analytics

Grafana 11.x

  • Database-specific dashboards
  • Prometheus + Loki + Tempo
  • Grafana Alerting
  • Multi-tenant isolation

Ready to Build Your AI Data Platform?

From streaming pipelines to production RAG โ€” let's architect your next-generation data platform.

Get ConsultationSee Case Studies