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Pranav Deokar

@pranavdeokar

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I build and ship agentic AI, RAG, semantic search, and data-driven applications.

India

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What I'm looking for

I'm looking to build and deploy practical AI and data products, especially agentic workflows, RAG systems, semantic search, computer vision, and reliable data pipelines.

I build and ship AI applications, from agentic workflows and Retrieval-Augmented Generation to semantic search over vector stores.

For FinPilot AI, I built an agentic financial advisory application that reasons through multi-step scenarios and grounds answers in user-uploaded financial documents using Google Gemini, embeddings, and semantic search.

I also built Blogster, an SEO-focused AI content platform with a six-stage generation pipeline, and Smart Study Desk, a MediaPipe-based posture monitoring system that reduced prolonged unhealthy posture duration by about 35%.

During internships with Celebal Technologies and ServiceNow University, I built data pipelines and Azure Data Factory workflows, transformed data with PySpark and SQL, and tested automated enterprise workflows with REST API integrations.

Experience

Work history, roles, and key accomplishments

Data Engineering Intern

Celebal Technologies

Jun 2026 - Aug 2026 (2 months)

Completed an 8-week hands-on Data Engineering program covering Python, SQL, Apache Spark (PySpark), Delta Lake, and Databricks. Built data pipelines and Azure Data Factory workflows with Blob Storage, handling incremental data updates on Delta Lake.

Python SQL Apache Spark PySpark Delta Lake Databricks Azure Data Factory Blob Storage

System Administrator Intern

ServiceNow

Feb 2026 - Mar 2026 (1 month)

Built and tested automated workflows in Flow Designer, validating logic across multiple edge cases, and worked with REST API integrations on an enterprise cloud platform.

Flow Designer REST APIs Cloud Platforms