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Gururaj B

@gururajb

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Agentic AI and full-stack intern building production data pipelines and document workflows.

United States

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What I'm looking for

I’m looking for a role where I can build Agentic AI and RAG-powered features, ship production-quality pipelines, and collaborate closely to improve latency, reliability, and real user outcomes.

I’m a Software Developer Intern focused on Agentic AI and scalable document/workflow pipelines. At Igniteiq.ai, I designed and implemented a production-grade CRU document pipeline, collaborated with senior engineers to ship V1 and V2 to production, and built end-to-end document processing workflows with validation layers and asynchronous task handling.

Previously, I architected Azure-based data pipelines at Titlewize to ingest and process ~5k–10k documents per day, built LLM-based agentic models for EC search automation (12% latency reduction), and restored a production OCR pipeline failure through root-cause analysis and minimal downtime. I also build full-stack and infrastructure-focused projects—like an AI-powered recruitment automation system and a production multi-tenant Kubernetes store provisioning platform—because I enjoy turning complex requirements into reliable systems.

Experience

Work history, roles, and key accomplishments

Current

Software Developer Intern

Current

Igniteiq.ai

Jan 2026 - Present (5 months)

Designed and implemented a production-grade create/read/update (CRU) document pipeline, enabling users to create documents and admins to manage metadata and trigger processing workflows. Shipped V1 and V2 to production with iterative improvements and built end-to-end document processing workflows with backend services, validation, and asynchronous task execution.

Agentic AI RAG TypeScript Document Processing Workflow Orchestration Data Validation Backend

Full Stack Intern

Titlewize

Sep 2025 - Jan 2026 (4 months)

Architected Azure-based data pipelines to ingest and process ~5k–10k user-uploaded documents per day from the 13sqft platform into internal systems. Built LLM-based agentic models for EC search automation, reducing latency by 12%, and diagnosed/resolved a production OCR pipeline failure with minimal downtime.

Azure Pipelines Kubernetes Docker AI Agents Python

Education

Degrees, certifications, and relevant coursework

East West Institute of Technology

Bachelor of Engineering, Computer Science and Engineering

2022 - 2026

Grade: CGPA: 8.96

Activities and societies: Project adoption: AI-powered recruitment automation adopted by a company for internal hiring workflows. Hackathons/competitions: 4th Place at Synergy Technical Quiz (IIIT Bangalore), 5th Place at HAL 3.0 and ML Fiesta 2024, Top 5 at EWIT Hackathon 2024.

Pursuing a Bachelor of Engineering in Computer Science and Engineering (2022–2026), maintaining a CGPA of 8.96.