Cloud & DevOps Engineer focused on production infrastructure, platform reliability, deployment automation, observability and cloud-native engineering.
I work with production and staging infrastructure supporting large-scale public digital platforms, with hands-on experience across Linux administration, cloud infrastructure, application deployments, containers, CI/CD, networking, monitoring and incident troubleshooting.
My engineering focus combines:
🎓 Currently pursuing an Executive M.Tech in Computer Science & Engineering — Generative AI at IIT Patna.
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USERS
│
▼
┌───────────────────┐
│ Reverse Proxy / │
│ Load Balancing │
└─────────┬─────────┘
│
┌────────────┴────────────┐
│ │
▼ ▼
┌─────────────┐ ┌─────────────┐
│ Application │ │ Containers │
│ Runtime │ │Docker/Podman│
│Jetty/Tomcat │ │ Kubernetes │
└──────┬──────┘ └──────┬──────┘
│ │
└────────────┬────────────┘
│
▼
┌─────────────────┐
│ APIs / Services │
│ Data / Backends │
└────────┬────────┘
│
▼
┌─────────────────────────┐
│ OBSERVABILITY │
│ Prometheus • Grafana │
│ Loki • Zabbix • Alerts │
└─────────────────────────┘
- 🐧 Linux server administration & troubleshooting
- 🚀 Production and staging deployment support
- 🔁 CI/CD pipelines & deployment automation
- ☁️ Cloud workload integration & validation
- 🐳 Docker & Podman container operations
- ☸️ Kubernetes & cloud-native infrastructure
- 🌐 Nginx reverse proxy & application routing
- 🔐 SSH, VPN, firewall & connectivity troubleshooting
- 📡 DNS, HTTP/S, ports & network-path validation
- 📊 Monitoring, logging & infrastructure observability
- 🚨 Incident investigation & root-cause analysis
- ⚙️ Jetty & Tomcat application deployments
- 🏗️ Infrastructure automation with Terraform
My professional experience includes Cloud & DevOps infrastructure support within the NIC ecosystem, working with digital transport platforms and associated production/staging environments.
DIGITAL PLATFORMS
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┌────────────────┼────────────────┐
▼ ▼ ▼
Applications APIs Services
│ │ │
└────────────────┼────────────────┘
▼
INFRASTRUCTURE
│
┌─────────────────┼─────────────────┐
▼ ▼ ▼
Linux Cloud / VMs Networking
│ │ │
└─────────────────┼─────────────────┘
▼
APPLICATION RUNTIME
Jetty • Tomcat • Containers
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▼
OBSERVABILITY
Prometheus • Grafana • Loki
Linux • Cloud VMs • Networking • SSH • VPN • Firewall
Jetty • Tomcat • Nginx • Podman • Docker
Deployment • Monitoring • Incident Response • RCA • Log Analysis
Prometheus • Grafana • Loki • Promtail • Zabbix
flowchart LR
DEV["👨💻 Code"]
GIT["Git"]
CI["Jenkins / CI"]
QA["Build & Analysis"]
ART["Artifact"]
DEP["Deployment"]
INFRA["Linux / Containers"]
PROXY["Nginx"]
APP["Applications"]
MON["Monitoring"]
DEV --> GIT
GIT --> CI
CI --> QA
QA --> ART
ART --> DEP
DEP --> INFRA
INFRA --> PROXY
PROXY --> APP
APP --> MON
Engineering Goal: Make deployments repeatable, infrastructure observable, failures diagnosable and operations automatable.
My platform-engineering focus includes OpenStack architecture, infrastructure operations and workload integration.
flowchart TB
USER["User / Application"]
KEYSTONE["Keystone<br/>Identity"]
NOVA["Nova<br/>Compute"]
NEUTRON["Neutron<br/>Networking"]
CINDER["Cinder<br/>Block Storage"]
GLANCE["Glance<br/>Images"]
VM["Virtual Machines / Workloads"]
USER --> KEYSTONE
KEYSTONE --> NOVA
KEYSTONE --> NEUTRON
KEYSTONE --> CINDER
KEYSTONE --> GLANCE
GLANCE --> NOVA
CINDER --> NOVA
NEUTRON --> NOVA
NOVA --> VM
| OpenStack Service | Engineering Area |
|---|---|
| Nova | Compute |
| Neutron | Networking |
| Cinder | Block Storage |
| Keystone | Identity & Authentication |
| Glance | Image Management |
KUBERNETES
│
┌───────────────┼───────────────┐
▼ ▼ ▼
Deployments Services Pods
│ │ │
└───────────────┼───────────────┘
▼
APPLICATIONS
│
▼
OBSERVABILITY
Kubernetes • Helm • Container Orchestration • Service Networking • GitOps • Platform Engineering
OpenStack • Cloud Networking • Virtualization
Podman • Helm • Tomcat • Jetty
Loki • Promtail • Zabbix • Node Exporter • cAdvisor • CloudWatch
| Domain | Technologies |
|---|---|
| ☁️ Cloud | Azure • AWS • OpenStack • GCP Fundamentals |
| 🐧 Systems | Linux • Ubuntu • Systemd • Bash |
| 🐳 Containers | Docker • Podman • Kubernetes • Helm |
| ♾️ CI/CD | Jenkins • GitHub Actions • GitLab CI/CD |
| 🏗️ IaC | Terraform • CloudFormation Fundamentals |
| 🌐 Networking | DNS • HTTP/S • SSH • VPN • NAT • Load Balancing |
| 🚦 Application Infra | Nginx • Apache • Jetty • Tomcat |
| 📊 Observability | Prometheus • Grafana • Loki • Zabbix • CloudWatch |
| 💻 Programming | Python • Java • C/C++ • JavaScript • TypeScript |
| 🗄️ Database | MongoDB |
| 🤖 AI | Generative AI • LLM Integration • Gemini |
My long-term engineering interest is the intersection of infrastructure automation and AI-assisted operations.
GENERATIVE AI
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┌────────────────┼────────────────┐
▼ ▼ ▼
Log Analysis Ops Assistance Automation
│ │ │
└────────────────┼────────────────┘
▼
AIOps
│
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INTELLIGENT INFRASTRUCTURE
- 🧠 AI-assisted incident investigation
- 📊 Intelligent log analysis
- 🤖 LLM-powered operational assistants
- 📚 Automated technical documentation
- 🔍 AI-assisted root-cause analysis
- ⚙️ Infrastructure automation
- ☁️ AI + cloud infrastructure integration
A community-focused digital platform combining web engineering, cloud deployment and Generative AI capabilities.
flowchart LR
USER["Users"]
WEB["Web Platform"]
API["Application Layer"]
AI["AI Services"]
DATA["Data Layer"]
LLM["Gemini"]
CHAT["AI Assistant"]
DOC["Document Analysis"]
GRANT["Grant Advisor"]
TRANS["Translation"]
GIT["Git Repository"]
DEPLOY["Deployment"]
USER --> WEB
WEB --> API
API --> AI
API --> DATA
AI --> LLM
AI --> CHAT
AI --> DOC
AI --> GRANT
AI --> TRANS
GIT --> DEPLOY
DEPLOY --> WEB
AI Assistant • Meeting Minutes • Document Analysis • Grant Advisory • Translation • Local Fallback Engine
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Executive M.Tech Computer Science & Engineering Specialization — Generative AI
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Bachelor of Technology Computer Science & Engineering Specialization — Cloud Computing
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- 💻 Strong problem-solving foundation in algorithms and data structures
- 🛠️ Projects spanning Cloud, DevOps, Web and AI
- 🥋 Karate Black Belt
- ⚡ Continuous hands-on infrastructure learning
Linux • Azure • AWS • OpenStack
Jenkins • GitHub Actions • GitLab CI/CD • Terraform
Docker • Podman • Kubernetes • Nginx • Jetty • Tomcat
Prometheus • Grafana • Loki • Zabbix
Generative AI • LLM Integration • Gemini
timeline
title Aryaman M Singha — Engineering Journey
2021 : Computer Science Engineering
: Programming Foundations
: Cloud Computing
2022 : Full Stack Development
: Cloud Fundamentals
2023 : Linux & DevOps
: CI/CD
: Infrastructure Automation
2024 : Cloud Engineering
: Containers
: Monitoring & Observability
2025 : Production DevOps
: Large-Scale Digital Infrastructure
: Linux & Cloud Operations
2026 : Platform Engineering
: OpenStack & Kubernetes
: Generative AI
: M.Tech @ IIT Patna
Linux / Systems ████████████████████░░ Production
Cloud & DevOps ████████████████████░░ Production
CI/CD Automation ███████████████████░░░ Strong
Observability ███████████████████░░░ Strong
Containers ██████████████████░░░░ Strong
OpenStack ████████████████░░░░░░ Developing
Kubernetes ████████████████░░░░░░ Developing
Generative AI ██████████████░░░░░░░░ Developing
Cloud Engineering • DevOps • Platform Engineering • SRE • OpenStack • Kubernetes • AI Infrastructure
