Cloud Infrastructure · AI · Software Engineering

Rohith Chekuri

Cloud Infrastructure & AI Software Engineer

Architecting secure, scalable cloud and AI systems — from Kubernetes automation to LLM-driven vulnerability detection.

📍 Austin, TX 📞 682-376-1408 ✉️ rohithchekuri5345@gmail.com 🔗 GitHub in LinkedIn
Get in touch View projects Download résumé
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UT Dallas
MS Computer Science
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Solutions Architect Associate
AWS Certified
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40% Backend Acceleration
Performance Gain
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LLM + DevOps Automation
AI Projects
01

Technical Skills

Certifications & Cloud DevOps

AWS Certified Solutions Architect Associate, AWS, Kubernetes (K8s), Docker, CI/CD Pipelines, Prometheus, Kustomize

AI & Web Integration

Generative AI, Large Language Models (LLMs), RESTful APIs, JSON Web Tokens (JWT), Node.js, FastAPI

Languages & OS

Python, C, C++, Java, Bash, JavaScript, HTML, CSS, Linux Internals (Ubuntu, EndeavourOS)

Databases & Architecture

PostgreSQL, MySQL, MongoDB, Neo4j, Object Oriented Programming, Application Architecture, Data Migration

02

Professional Experience

Research Assistant - Independent Study

The University of Texas at Dallas · Richardson, TX

Jan 2026 - May 2026
  • Architecting scalable software features for automated vulnerability detection by leveraging Python and C++ to comprehensively enhance application testing protocols and secure enterprise-grade continuous integration pipelines.
  • Diagnosed critical technical issues and spearheaded root-cause analysis of complex Large Language Model deployments to systematically minimize false positive rates while enforcing robust, automated system validation checks.

Teaching Assistant

The University of Texas at Dallas · Richardson, TX

Aug 2025 - May 2026
  • Evaluated complex application architectures, algorithmic deployments, and software testing assignments for over 50 students, producing comprehensive technical documentation to facilitate long-term student success.
  • Mentored graduate engineering students through regular office hours, resolving intricate debugging and troubleshooting challenges in advanced operating systems and network security projects.

Full-stack Developer

Axis Bank · Mumbai, India

Jul 2023 - Aug 2024
  • Directed cross-functional Agile/Scrum teams to architect highly scalable backend software features, accelerating system performance by 40% through rigorous data pipeline optimization, database indexing, and peer reviews.
  • Spearheaded the integration of experimental agentic workflows utilizing CrewAI and LLMs to automate complex data pipeline transformations, successfully accelerating BI reporting delivery timelines by 35%.
  • Architected a similarity search backend leveraging a Neo4j graph database to precisely map internal developer tooling dependencies, significantly enhancing open collaboration across multiple engineering pods.
  • Engineered secure RESTful APIs fortified with JSON Web Tokens (JWT) for robust authentication, actively driving daily team stand-ups, peer code reviews, and sprint retrospectives to maintain high code quality.
  • Troubleshot complex product defects and engineered highly automated workflow scripts utilizing Python, driving critical tasks to completion and successfully reducing manual operational overhead by 50% across deployments.

Research Intern

Indian Institute of Technology · Indore, India

May 2022 - Jun 2022
  • Designed high-performance AI software solutions for advanced computer vision applications; engineered comprehensive testing strategies on massive datasets to systematically optimize hyperparameter tuning and refine complex model architectures.
03

Projects

Multi-Stage Vulnerability Detection System (MulVul)

Multi-stage automated vulnerability detection architecture integrating large language models for secure code verification.

  • Constructed advanced classification pipelines utilizing fine-tuned transformer models to achieve a 0.783 F1 score, concurrently developing robust automated tests to prevent regressions within scalable backend systems.
  • Engineered a high-performance custom C++ parser and backward slicers utilizing advanced object-oriented programming paradigms to precisely debug low-level data-flow dependencies and diagnose intricate software vulnerabilities.
  • Dynamically processed, cleaned, and meticulously deduplicated over 80,000 discrete system operations to construct pristine training datasets, maintaining full ownership of project delivery schedules.
C++ Python LLMs Transformers OOP

K-Query – AI-Powered DevOps Automation Platform

Secure DevOps automation Slack application using FastAPI and Llama 2 to query infrastructure status via natural language.

  • Integrated official Kubernetes and Prometheus client APIs to dynamically stream live cluster metrics, deployment statuses, and real-time error rates directly into Slack, accelerating root-cause analysis for bottlenecks.
  • Architected and deployed a Retrieval-Augmented Generation (RAG) pipeline utilizing an optimized Qdrant vector database, enabling semantic search and retrieval of critical internal FAQs and operational runbooks.
  • Orchestrated robust, production-ready, multi-architecture (AMD64/ARM64) container deployments utilizing Docker, Kustomize, and Kubernetes manifests, while configuring Horizontal Pod Autoscaling for high availability.
FastAPI Llama 2 Kubernetes Prometheus Qdrant Docker Kustomize
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Education

Master of Science, Computer Science

The University of Texas at Dallas · Richardson, TX · January 2025 - May 2026

Coursework: Advanced Operating Systems, System Security and Malicious Code Analysis, Information Security, Data & Application Security, Machine Learning, Natural Language Processing, Network Security, Web Programming Languages, Artificial Intelligence, Data Analysis and Management Techniques, Design and Analysis of Algorithms

Bachelor of Technology, Computer Science

National Institute of Technology Durgapur · West Bengal, India · August 2019 - May 2023

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Get In Touch

Interested in collaboration, opportunities, or a technical chat? Let's connect.

✉️ Email rohithchekuri5345@gmail.com in LinkedIn 🔗 GitHub
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