Data & AI Engineer — designing systems that turn raw data into reliable intelligence.

I build the infrastructure and models that make data useful — from ingestion pipelines and warehouses to ML systems that scale in production. My work sits at the intersection of Data Engineering, AI/ML, and DevOps, with a focus on systems that are fast, maintainable, and built for real-world use.

• Data Engineering — pipelines, warehousing, orchestration, stream & batch processing
• AI/ML — model development, feature engineering, productionizing models
• Infrastructure — cloud-native deployments, containerization, CI/CD

Languages — Python · Java · JavaScript · Bash

Data & ML — PostgreSQL · MongoDB · scikit-learn · Seaborn

Cloud & Infra — AWS · GCP · Docker · Kubernetes · Jenkins

Frameworks — Django · Flask

I write about data systems, AI engineering, and the craft of building reliable software. → techjutsuwithvj.hashnode.dev

I'm actively looking to collaborate on:

• Data platform builds — pipelines, lakehouses, warehousing
• AI/ML projects — from prototype to production
• Open source — tooling around data and developer workflows

If you're building something in this space, I'd like to hear about it. → vijay.saravanan0707@gmail.com

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_{Vijaykumar Saravanan · Data & AI Engineer · Chennai, India}