Karthikeya Uppu
@karthikeyauppu
AI-native software engineer building scalable LLM agent systems.
What I'm looking for
I’m an AI-native software engineer and Databricks Certified ML Associate with nearly 2 years of experience. I focus on the architecture of autonomous LLM agents and highly scalable enterprise systems, bringing together Python, TypeScript, React, and strong prompt engineering.
At Accenture (Associate Software Engineer), I built real-time reporting interfaces by integrating Kafka-based event streams with React for reliable live data visualization. I also architected scalable GraphQL queries and mutations to reduce over-fetching and cut data payload sizes by 40% for React dashboards.
I use AI-assisted development tools like Claude Code (and similar tooling) to accelerate delivery while improving code quality and debugging. I’ve resolved 30+ security and vulnerability findings from audits, strengthening resilience, compliance, and adherence to enterprise engineering standards.
I care about stability and correctness: I maintained 99%+ platform stability through 20+ production-critical bug fixes and Jest unit test suites to reduce regression risk. My projects include an Autonomous Angular Migration Agent that reduced manual effort by 90%, and a Data Privacy & Compliance agent that parses legal terms to flag sensitive data exposure risks.
Experience
Work history, roles, and key accomplishments
Associate Software Engineer
Accenture Pvt Ltd
Oct 2024 - Present (1 year 9 months)
Developed real-time reporting interfaces by integrating Kafka-based event streams into React applications and architected scalable GraphQL queries/mutations to reduce over-fetching and data payload sizes. Delivered 20+ production-critical bug fixes to maintain 99%+ platform stability and resolved 30+ security/vulnerability findings to improve resilience and compliance.
Education
Degrees, certifications, and relevant coursework
Vardhaman College of Engineering
Bachelor of Technology, Information Technology
2020 - 2024
Bachelor of Technology in Information Technology at Vardhaman College of Engineering from Dec 2020 to Apr 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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