Sastry Devarakonda

Generative Ai Software Engineer @Zemoso Technologies

Dallas-Fort Worth, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2024 — Present

Generative Ai Software Engineer @Zemoso Technologies

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Dallas, TX, US

Designed and developed AI-driven systems integrating generative models with graph-based architectures to improve information retrieval and workflow intelligence.• Built scalable ETL pipelines and automated data processing workflows for structured and unstructured sources, ensuring accuracy and consistency across environments.• Architected and managed AWS infrastructure using Terraform (IaC) to support high-availability, secure, and scalable deployments.• Developed CI/CD pipelines with Docker and Bitbucket to streamline full-stack releases and environment versioning.• Led discussions on schema design, scalability, and performance optimization across engineering and client teams.• Collaborated with DevOps and security teams to strengthen cloud automation, monitoring, and system reliability.• Served as a bridge between technical teams and clients, presenting architectural updates, roadmaps, and implementation strategies.• Mentored developers on AWS and Terraform best practices and promoted clear documentation for long-term maintainability.Skills: Generative AI, Knowledge Graphs, Cloud Architecture, Terraform (IaC), AWS,Python, Angular, Flask, CI/CD

EDUCATION

2017 — 2021

CVR College of Engineering, Hyderabad

Bachelor of Technology - BTech, Computer Science

N/A

The University of Texas at Arlington

Master of Science - MS, Computer Science

ABOUT SASTRY DEVARAKONDA

I am a Software Engineer who enjoys building intelligent, reliable, and scalable systems. My expertise lies at the intersection of AI, software engineering, and cloud infrastructure, where I focus on turning complex ideas into simple, usable, and well designed solutions.Curiosity drives my work. I like understanding how things function beneath the surface and finding better ways to make them work together. From integrating AI models with structured data to optimizing cloud deployments and designing full stack architectures, I approach each challenge as a chance to learn and refine.Over time, I have worked on data pipelines, knowledge centered applications, and production systems that run at scale. What I value most is clarity, both in code and in communication. I focus on explaining technical ideas in simple terms so teams can collaborate effectively and move faster.For me, good engineering is about combining precision, ownership, and curiosity. Every project is an opportunity to think deeply, simplify what is complex, and build technology that makes a real difference.

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