available for thesis & internship roles

Ridham Pansara
builds cloud
& DevOps platforms.

Master's student in Computer Engineering for IoT Systems interested across cloud computing and DevOps, including cloud engineering, platform engineering, Kubernetes, GitOps, SRE, automation, security, observability, FinOps, and scalable cloud infrastructure.

Interactive Terminal Cloud profile
ridham@cloud-infra:~
01 about

I'm a master's student in Computer Engineering for IoT Systems at Nordhausen University of Applied Sciences, Germany, with a broad interest across cloud computing and DevOps engineering.

I have hands-on experience with AWS, Azure, GCP, and OCI, as well as Docker, Kubernetes, Terraform, Argo CD, Helm, Linux, CI/CD, cloud security, and backend development. My latest project is CloudOps Insight, a production multi-tenant CloudOps and FinOps platform running on OCI Kubernetes Engine with GitOps delivery, Terraform-managed infrastructure, secure AWS cross-account integrations, monitoring, cost analytics, automated synchronization, and backup/recovery workflows.

I'm currently looking for a master's thesis or internship opportunity across cloud computing and DevOps - including cloud engineering, cloud infrastructure, platform engineering, Kubernetes/GitOps, SRE, automation, cloud security, observability, and FinOps - where I can contribute to reliable, scalable, and production-grade systems.

📍 LOCATION
Karlsruhe, Germany
☁️ FOCUS
Cloud Computing & DevOps
🌍 LANGUAGES
English fluent, German A2–B1
🎯 LOOKING FOR
Thesis / Internship - Cloud & DevOps
02 projects
● deployed

🦊 GitLab CI/CD Build–Test–Deploy Pipeline

Hands-on GitLab CI/CD learning project focused on DevOps workflows, automated testing, build artifacts, Docker-based CI environments, quality checks, environment variables, and deployment practice with Netlify, AWS S3, EC2, SSH, and SCP.

186 commits 1 environment Build/test/deploy
GitLab CI/CD Node.js Vite Vitest ESLint AWS CLI Netlify
View workflow details

What I built

A GitLab pipeline that installs dependencies, builds the app, runs tests, checks quality, saves artifacts, and practices deployment flows.

Problem solved

Moved from manual project checks to repeatable CI jobs with artifacts, linting, unit tests, secrets, and deployment variables.

Result

Practical CI/CD knowledge covering runners, Docker images in CI, merge requests, Netlify deploys, AWS S3, EC2, SSH, and SCP.

Install → Build → Test → Lint → Artifacts → Deploy
● published

🐳 Docker Essentials — Containerized App Workflow

Containerized a Python hello-world application and published the latest image to Docker Hub. The image targets linux/amd64, includes the app file in the image layer, and runs the container with python app.py.

Docker Hub image linux/amd64 37.59 MB compressed
Docker Python Dockerfile Image Layers Container Workflow
View container details

What I built

A small Python app packaged into a Docker image and published under the python-hello-world latest tag.

What I practiced

Docker image publishing, image layers, base image usage, app file copying, and container command execution.

Result

A shareable Docker Hub image that demonstrates a basic containerized application workflow.

App → Dockerfile → Image → Docker Hub → Run Container
● completed

📡 IoT Sensor STM32 + LoRa + BME680

Microcontroller-based IoT prototype for smart environmental sensing and long-range wireless data communication using STM32 NUCLEO-G071RB, BME680 sensor, SX1262 LoRa HAT, UART, and PuTTY-based CLI commands.

STM32 firmware BME680 readings LoRa transmission
STM32 LoRa BME680 UART I2C SPI PuTTY CLI
View embedded system details

What I built

An STM32-based sensing prototype that reads temperature, humidity, pressure, and gas resistance from BME680.

How it works

Sensor data is accessed through CLI commands such as TEMP, HUM, PRESS, GAS, ALL, and transmitted using LoRa commands.

Result

A final embedded implementation using I2C, SPI, UART CLI control, automatic/manual readout, and LoRa data transmission.

BME680 → STM32 → UART CLI → LoRa → Receiver
● completed

🐧 Network Performance Benchmarking eBPF/XDP

Network performance analysis project using eBPF/XDP concepts to benchmark router throughput and latency, collect measurements, and support automated analysis with Python and shell tooling as part of IT Systems Performance Analysis work.

59 commits Measurements repo Throughput + latency
eBPF XDP Linux Networking Python Shell
View benchmarking details

What I worked on

Benchmarking network behavior with performance-focused Linux networking concepts and measurement data.

Focus area

Router throughput, latency, packet-processing performance, and repeatable measurement collection.

Result

A documented performance-analysis repository with measurement material for IT Systems Performance Analysis.

Traffic → Router → eBPF/XDP → Measurements → Analysis
03 cloud & DevOps stack
☁️ Cloud Platforms
80%
☁️ AWS 🔷 Azure 🌐 GCP 🔴 OCI
🟧 AWS Services
78%
🖥️ EC2 🪣 S3 🌍 CloudFront 🧭 Route 53 🔑 IAM 🕸️ VPC 📊 CloudWatch λ Lambda 🚢 ECS Fargate 🗄️ Amazon RDS 📦 Amazon ECR ⚖️ Application Load Balancer 🤫 Secrets Manager 🔐 AWS Certificate Manager 🎫 AWS STS 💶 Cost Explorer
🔴 Oracle Cloud Infrastructure
78%
☸️ OKE 🕸️ VCN 🛡️ NSGs 🪣 Object Storage 💽 Block Volume 🔐 OCI Vault 🔑 OCI IAM
🏗️ Infrastructure as Code
72%
🏗️ Terraform 📄 YAML { } JSON ⚙️ Infrastructure Automation 🧱 Terraform Modules 🗂️ Terraform Remote State 🔄 Infrastructure Provisioning
🐧 Linux & Networking
84%
🐧 Linux ⌨️ Bash 🔐 SSH 🌐 DNS 🔒 HTTP/HTTPS 📡 TCP/IP ⚖️ Load Balancing
🔐 Cloud Security
74%
🔑 IAM/RBAC 🔒 Encryption 🛡️ TLS/HTTPS 🚧 Security Groups 🤫 Secrets Management 🪪 OIDC Federation 🗄️ Private Database Architecture 🎭 IAM Role Separation 🔗 Scoped Network Access 🎭 STS AssumeRole 🧩 AWS External ID 🔏 Sealed Secrets ☁️ Cloudflare Tunnel 👥 Workspace RBAC 🧱 Tenant Isolation
📊 Monitoring & Observability
70%
📊 CloudWatch 🔥 Prometheus 📈 Grafana 📝 Logging 📏 Metrics 🚨 CloudWatch Alarms ❤️ Health & Readiness Checks ↩️ Deployment Circuit Breaker 🛟 Rollback Procedures 🚨 Alerts
💻 Programming & Scripting
78%
🐍 Python ⌨️ Bash ☕ Java 🟢 Node.js 🔷 TypeScript ⚡ C/C++
🗄️ Databases & Persistence
74%
🐘 PostgreSQL 🔗 SQLAlchemy 🧭 Alembic 🔴 Redis ✅ Readiness Checks
🧪 Testing & Code Quality
76%
🧪 Pytest ⚡ Ruff 🔬 FastAPI TestClient 🐳 Docker Build Validation
🤝 Professional Skills
86%
💬 Communication 🤝 Teamwork 📝 Documentation 🧩 Problem Solving
📚

Current Engineering Focus

Building broad hands-on depth across modern cloud platforms and DevOps engineering disciplines.

Cloud Architecture & Infrastructure Platform Engineering Kubernetes & GitOps SRE & Observability Cloud Security FinOps & Automation
04 education & certifications
2023 — present
M.Eng. in Computer Engineering for IoT Systems
Nordhausen University of Applied Sciences, Germany
2017 — 2022
B.Eng. in Computer Engineering
Gujarat Technical University, India

Let’s build reliable cloud infrastructure.

Open to master’s thesis and internship opportunities where I can contribute to cloud infrastructure, DevOps automation, CI/CD pipelines, and cloud security.

📍 Location Karlsruhe, Germany
🎯 Looking for Thesis / Internship
☁️ Focus Cloud, DevOps, Security