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Anuj Baral

@anujbaral

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AI Agent Developer building Claude-powered agents and RAG systems, including StackFind’s multi-agent intent routing.

India

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As an MIS Consultant – Data and Analytics at Odisha School Education Program Authority (OSEPA) – World Bank Project, I developed state- and district-level dashboards for the STARS education program and built Python and Power BI data pipelines.

In independent AI agent projects, I built autonomous Claude-powered agents with planning, tool invocation, memory, and retry and fallback logic. I also developed RAG pipelines and exposed agents as REST APIs using FastAPI.

I shipped StackFind’s multi-agent intent routing and Solace’s ticket classification with a human-in-the-loop review layer. My work spans AI automation, analytics, and production applications built with tools including Python, Claude API, and Supabase.

Experience

Work history, roles, and key accomplishments

Current

MIS Consultant – Data and Analytics

Current

Odisha School Education Program Authority (OSEPA)

Oct 2023 - Present (3 years)

Developed state- and district-level analytics dashboards for the World Bank-funded STARS education program, enabling data-driven policy decisions across 30+ districts. Built end-to-end data pipelines using Python and Power BI including ETL, validation, and reconciliation processes.

Python Pandas NumPy Power BI ETL Data Modeling KPI Dashboards DAX Power Query

Senior Systems Executive

Cognizant

Jul 2022 - Sep 2023 (1 year 2 months)

Analyzed ServiceNow ticket data using Python to identify recurring incidents and resolution bottlenecks across enterprise IT infrastructure. Built classification and trend analysis models for incident pattern recognition, improving change management decisions.

Python Pandas Matplotlib ServiceNow Incident Management Data Analysis Automation

Ad Operations Executive

MediaMint

Jan 2022 - Jun 2022 (5 months)

Managed digital ad delivery, pacing optimization, and discrepancy analysis across multiple advertiser accounts. Built Excel-based dashboards for CTR, impressions, and revenue reconciliation to support analytics-driven reporting.

Excel Digital Advertising Pacing Discrepancy Analysis Reporting CTR Revenue Reconciliation

AI Agent Engineer – Independent Projects

Self Employed

Built and deployed autonomous agents using Claude LLM with full agentic loop support: task planning, tool invocation, memory handling, and retry/fallback logic. Exposed agents as production-ready REST APIs using FastAPI microservices and designed RAG pipelines for research and content generation.