Open to opportunities

Anuj Srinivas

@anujsrinivas

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I build agentic AI systems, vectorless RAG platforms, and low-latency backend services.

India

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What I'm looking for

I'm looking to build production AI systems involving agentic workflows, RAG, anomaly detection, and high-throughput backend services, with opportunities to solve complex real-world problems and grow through hands-on engineering.

I've built AI systems including OODA-Kernel, a LangGraph-based stateful decision engine, and DocuNav, a vectorless RAG compliance assistant that navigates 500+ page statutory documents using IBM Granite 4.1 and PageIndex.

At Zidio Development, I automated computer-vision preprocessing and analytics workflows, reducing data turnaround by 30%, while building anomaly-detection pipelines, Dockerized services, and CI/CD testing. At SpawnLabs, I developed XGBoost and ARIMA forecasting pipelines that improved benchmark accuracy by 15%.

I'm also the primary inventor of the patent-pending GridGuard Pro, an LLM diagnostic engine for anomaly interpretation and automated maintenance tickets.

Experience

Work history, roles, and key accomplishments

Data Science & Backend Intern

Zidio Development

Jul 2025 - Oct 2025 (3 months)

Automated computer-vision preprocessing and exploratory analytics workflows using Python and OpenCV, cutting data turnaround by 30%. Implemented unsupervised anomaly detection pipelines and structured metric logging to accelerate operational root-cause analysis.

Python OpenCV Anomaly Detection Docker CI CD Unit Testing