Data Pipelines
Engineering
Real-time pipelines for events, NLP, and downstream AI.
Production-Ready Implementation
We design Kafka and Spark pipelines that move data from producers to stores, models, and product surfaces with clear SLAs.
Whether it’s EchoSense-style streaming NLP or batch warehouses, the goal is reliable, observable data flow.
What We Deploy
- Kafka topics & consumers
- Spark / PySpark jobs
- Stream → store → model paths
- Observability & retries
Related Services
Complementary capabilities to scale your digital architecture.
Web Development
High-performance Next.js and React web applications engineered with secure API layers, microservices, Docker containers, and scalable cloud deployments.
Machine Learning
Bespoke machine learning engineering by Whizzly Lab. We train, evaluate, and deploy deep neural models, Hugging Face pipelines, and robust MLOps systems.
AI
Production-grade agentic AI systems, multi-stage RAG pipelines, LangChain integrations, vector databases, and enterprise LLM applications with guardrails.