An aspiring software engineer studying agentic/secure AI, cloud-native development, DevOps engineering, distributed systems, etc.. I build reliable systems using Java, C++, Python, Docker, Kubernetes, and Spring Boot — with a growing interest in Confidential Computing and secure workflow automation.

Programming Languages: Java, C/C++, Python, Kotlin, JavaScript, SQL, Bash, YAML

Software Engineering: Spring Boot (Maven), REST APIs, JUnit testing, Android (Java/Kotlin), SWIG/JNI, gRPC, multithreading, data structures and algorithms, secure messaging workflows

DevOps & Infrastructure: Docker, Kubernetes, GitHub Actions (CI/CD), Apache Airflow, Linux/Unix administration, Terraform (familiar), Helm (familiar), container orchestration, infrastructure-as-code patterns

Cloud Platforms: AWS (EC2, IAM, S3, VPC basics), Google Cloud Platform

Monitoring & Observability: Prometheus, Grafana, log aggregation workflows, metrics and alerting pipelines, performance benchmarking, tracing tools (basic)

Security & Confidential Computing: VMware Certifier Framework, Trusted Execution Environments (Intel SGX, AMD SEV), attestation workflows, key management, encrypted execution, secure multi-language pipelines

Data & ML (Optional): NumPy, Pandas, TensorFlow, data preprocessing, model serving with Docker

Developer Tools: Git/GitHub, IntelliJ IDEA, VS Code, Android Studio, Linux/Unix CLI, Jira, Notion

• Secure Android Messaging App: Java/Kotlin + C++ system with SWIG/JNI bindings.
• Mizzou Cloud DevOps Platform: Spring Boot + Kubernetes platform with CI/CD automation and Airflow orchestration.
• Confidential Computing (VEC + Certifier Framework): Secure distributed workflows using TEEs, C++/Python, Docker.

Email: ppf2d@mail.missouri.edu
LinkedIn: paripatel54