I am a Masters in Artificial Intelligence candidate at Florida Atlantic University with a GPA of 3.72, specializing in the development of end-to-end machine learning systems. My expertise lies at the intersection of Generative AI, computer vision, and data engineering, where I focus on transforming complex research into usable, high-impact products. From architecting multi-agent automation systems that reduce manual effort by 90% to building robust SQL-based ETL pipelines for large-scale analytics, I pride myself on shipping secure, maintainable applications that solve real-world challenges. Driven by a passion for automation and "production-ready" AI, I have mastered a versatile tech stack including Python, PyTorch, and SQL, complemented by certifications in Azure AI and Data Fundamentals. My experience as a Data Engineering Intern and my participation in high-stakes hackathons have refined my ability to work within Agile environments and communicate technical narratives to stakeholders. I am committed to building the next generation of intelligent systems—whether that involves designing agentic workflows, fine-tuning LLMs, or creating scalable data architectures that ensure 100% integrity.

Tudeep Velkuru

I am a Masters in Artificial Intelligence candidate at Florida Atlantic University with a GPA of 3.72, specializing in the development of end-to-end machine learning systems. My expertise lies at the intersection of Generative AI, computer vision, and data engineering, where I focus on transforming complex research into usable, high-impact products. From architecting multi-agent automation systems that reduce manual effort by 90% to building robust SQL-based ETL pipelines for large-scale analytics, I pride myself on shipping secure, maintainable applications that solve real-world challenges. Driven by a passion for automation and "production-ready" AI, I have mastered a versatile tech stack including Python, PyTorch, and SQL, complemented by certifications in Azure AI and Data Fundamentals. My experience as a Data Engineering Intern and my participation in high-stakes hackathons have refined my ability to work within Agile environments and communicate technical narratives to stakeholders. I am committed to building the next generation of intelligent systems—whether that involves designing agentic workflows, fine-tuning LLMs, or creating scalable data architectures that ensure 100% integrity.

Available to hire

I am a Masters in Artificial Intelligence candidate at Florida Atlantic University with a GPA of 3.72, specializing in the development of end-to-end machine learning systems. My expertise lies at the intersection of Generative AI, computer vision, and data engineering, where I focus on transforming complex research into usable, high-impact products. From architecting multi-agent automation systems that reduce manual effort by 90% to building robust SQL-based ETL pipelines for large-scale analytics, I pride myself on shipping secure, maintainable applications that solve real-world challenges.

Driven by a passion for automation and “production-ready” AI, I have mastered a versatile tech stack including Python, PyTorch, and SQL, complemented by certifications in Azure AI and Data Fundamentals. My experience as a Data Engineering Intern and my participation in high-stakes hackathons have refined my ability to work within Agile environments and communicate technical narratives to stakeholders. I am committed to building the next generation of intelligent systems—whether that involves designing agentic workflows, fine-tuning LLMs, or creating scalable data architectures that ensure 100% integrity.

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Experience Level

Expert
Expert
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Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Engineering Intern at Eduskills
January 1, 2024 - March 1, 2024
Architected robust SQL-based ETL pipelines to manage sample datasets for analytics; ensured 100% data integrity for downstream reporting by implementing automated validation checks. Added practical data checks (nulls, duplicates, row counts) and lightweight monitoring so issues were easy to spot and fix. Used MLOps basics — version control, reproducible environments, and automated tests — to make releases predictable. Tuned Redshift tables and queries (sort/dist keys, compression) to speed up downstream analytics. Worked in Agile sprints and wrote clear runbooks and schedules, reducing manual work and smoothing handoffs.

Education

Masters in Artificial Intelligence at Florida Atlantic University
January 11, 2030 - April 1, 2026
Bachelor of Technology (Honors) in Computer Science and Engineering at G. Pulla Reddy Engineering College
January 11, 2030 - May 1, 2024

Qualifications

Microsoft Certified: Azure Data Fundamentals
October 1, 2022 - January 25, 2026
Microsoft Certified: Azure AI Fundamentals
January 1, 2022 - January 25, 2026
EPAM Center of Excellence (CoE) – Java Specialization
January 1, 2022 - January 25, 2026
AWS Educate: Introduction to Generative AI
October 1, 2025 - January 25, 2026
LLM Engineering: Master AI, LLM & Agents Udemy
January 11, 2030 - January 25, 2026
FAU Hackathon Participant
December 1, 2025 - January 25, 2026

Industry Experience

Software & Internet, Education, Professional Services