Full-Stack Developer | DevOps Engineer | Cloud & AI Enthusiast

• 🎓 M.S. Computer Science, University of North Carolina at Charlotte (Aug 2024 – Dec 2025)
• 💻 Passionate about building scalable full-stack systems, DevOps automation, and AI-powered solutions.
• 🚀 Experienced in enterprise software engineering, cloud deployments, and CI/CD pipelines.
• 🤝 Open to collaborating on open-source projects related to DevOps, AI systems, and distributed applications.

Aug 2024 – Jul 2025

• Engineered a real-time transport booking platform using React.js, Node.js, and MongoDB.
• Built secure JWT/OAuth authentication and automated deployments via GitHub Actions CI/CD.
• Reduced manual SDLC steps by 50% through pipeline automation and modular design.

Sep 2023 – Jul 2024

• Built Power BI dashboards integrated with SQL Server + Azure Cloud to automate 40% of reporting.
• Improved React component performance by 20% through optimized rendering and testing.
• Collaborated in Agile teams driving inclusive innovation and data-driven solutions.

Jan 2023 – Jun 2023

• Enhanced CI/CD pipelines and reduced deployment toil by 50% using parallel execution.
• Implemented secure IAM-based access and AWS CloudFormation infrastructure automation.
• Investigated 50+ cloud incidents with observability tools and automated root cause fixes.

Node.js | Python | Redis | OpenSearch | Kubernetes | Terraform

• Built a distributed log monitoring system with real-time Next.js dashboards.
• Improved debugging speed by 60% through query parsing and index pipelines.

React | Express | MongoDB | JWT Auth | AI Matching

• Full-stack hackathon project connecting founders and talent at UNCC.
• Led a 4-member team; delivered functional prototype within 72 hours.

React | TypeScript | SCSS | Render Cloud CI/CD

• Built a responsive developer portfolio (Lighthouse 95+ score).
• Automated deployment pipeline with Render and GitHub Actions.

Languages: Python · Java · JavaScript · TypeScript · C++ · SQL
Frontend: React · Next.js · Redux · Tailwind CSS · Bootstrap
Backend & APIs: Node.js · Express.js · REST · GraphQL · Microservices
Databases: MongoDB · MySQL · PostgreSQL · SQL Server · Redis · DynamoDB
Cloud & DevOps: AWS (EC2, S3, Lambda, ECS) · Docker · Kubernetes · Terraform · CI/CD
Data & AI: TensorFlow · Federated Learning · DQN · SUMO Simulation · Pandas · NumPy

A Review on Deep Learning Techniques for Classifying Images and Generating Captions
📚 Springer Nature, Dec 2023 — Read Paper

📫 Email: [email protected]
💼 LinkedIn: linkedin.com/in/shiva-kumar-chakali
🌍 Portfolio: skchakali.onrender.com
🐙 GitHub: github.com/ChakaliShivaKumar

⭐ "Code with purpose, build with impact."