βββ[crypticani@fedora]β[~]
βββ$ fastfetch --logo tux
.---. [email protected]
/ \ ---------------------
| () () | OS: Fedora Linux x86_64 [Workstation]
\ - / Role: Senior DevOps & Cloud Infrastructure Engineer
/ `---' \ Cloud: AWS Β· Railway Β· DigitalOcean Β· Oracle Cloud Β· K8s
/ / \ \ Network / Edge: Cloudflare (Edge/WAF) Β· Tailscale (Mesh VPN)
( | | ) DE / WM: GNOME (Wayland)
/ \ \_ _/ / \ Terminal: GNOME Terminal / Ptyxis
(_// `-----' \_\) Shell: zsh
__// \\__ Editor: VS Code
(___) (___) Packages: dnf, rpm, k8s, docker, terraform, ansible, ollama
Systemd: active (running) β 99.9% SLA across 15+ apps
FinOps: -25% monthly cloud spend reduced (torvix)
Disaster Recovery: < 30 min RTO verified in failover drills
Web Terminal: https://crypticani.dev [try: help, neofetch, sudo hire-me]
Tip
π§ Interactive Web Terminal:
My portfolio at crypticani.dev is a fully functional in-browser terminal emulator!
Open it and test real CLI commands like help, neofetch, projects, clear, or sudo hire-me.
β production.target - High-Availability Cloud Infrastructure & SRE
Loaded: loaded (/etc/systemd/system/production.target; enabled; vendor preset: enabled)
Active: active (running) since 4+ years ago in production
Main PID: 1337 (devops-daemon)
Tasks: 20+ (Kubernetes services, Railway apps & multi-cloud workloads)
Memory: FinOps optimized (-25% cloud spend cut via torvix)
CGroup: /system.slice/production.target
ββ [ OK ] 99.9% High Availability SLA maintained across 15+ production applications
ββ [ OK ] Mesh VPN: Tailscale zero-trust private mesh connected across all nodes
ββ [ OK ] Edge & Security: Cloudflare WAF, Zero Trust, and DNS routing
ββ [ OK ] Multi-Cloud: AWS, Railway, DigitalOcean, and Oracle Cloud (OCI)
ββ [ OK ] Disaster Recovery: < 30 min RTO verified across multi-region failovers
ββ [ OK ] FinOps: 25% cloud spend cut across Kubernetes and cloud workloads
ββ [ OK ] Automation: GitOps and CI/CD pipelines with zero-downtime rollouts
ββ [ OK ] AI-Ops: Autonomous self-healing infrastructure in autonomous-infra-labs (Ollama)
| 4+ yrs Production DevOps |
20+ Services on K8s |
β25% Cloud Spend Cut |
<30 min Disaster Recovery RTO |
99.9% SLA Across 15+ Apps |
Core packages, daemons, mesh networking, local AI runtimes, and toolchain installed on Fedora.
| π§ Distros & Desktop |
|
| βοΈ Cloud Platforms |
|
| π Mesh, Edge & Net |
|
| βΈοΈ Containers & K8s |
|
| π οΈ IaC & CI/CD |
|
| π Telemetry & Proxies |
|
| π» Toolchain & Local AI |
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| ποΈ Storage & Databases |
|
π± My GitHub Data
π¦ 2.0 MB Used in GitHub's Storage
π 511 Contributions in the Year 2026
πΌ Opted to Hire
π 45 Public Repositories
π 7 Private Repositories
I'm an Early π€
π Morning 1703 commits βββββββββββββββββββββββββ 37.40 %
π Daytime 992 commits βββββββββββββββββββββββββ 21.79 %
π Evening 1835 commits βββββββββββββββββββββββββ 40.30 %
π Night 23 commits βββββββββββββββββββββββββ 00.51 %
π I'm Most Productive on Wednesday
Monday 796 commits βββββββββββββββββββββββββ 17.48 %
Tuesday 556 commits βββββββββββββββββββββββββ 12.21 %
Wednesday 839 commits βββββββββββββββββββββββββ 18.43 %
Thursday 763 commits βββββββββββββββββββββββββ 16.76 %
Friday 543 commits βββββββββββββββββββββββββ 11.93 %
Saturday 450 commits βββββββββββββββββββββββββ 09.88 %
Sunday 606 commits βββββββββββββββββββββββββ 13.31 %
π This Week I Spent My Time On
ποΈ Time Zone: Asia/Kolkata
π¬ Programming Languages:
TypeScript 2 hrs 27 mins βββββββββββββββββββββββββ 65.82 %
Markdown 55 mins βββββββββββββββββββββββββ 24.70 %
Other 21 mins βββββββββββββββββββββββββ 09.47 %
π₯ Editors:
VS Code 3 hrs 43 mins βββββββββββββββββββββββββ 99.97 %
Cursor 0 secs βββββββββββββββββββββββββ 00.03 %
π±βπ» Projects:
railway-iac 2 hrs 26 mins βββββββββββββββββββββββββ 65.57 %
mypeople-transpiler 1 hr 16 mins βββββββββββββββββββββββββ 34.43 %
π» Operating System:
Linux 3 hrs 43 mins βββββββββββββββββββββββββ 100.00 %
π€ AI Coding This Week
β± AI Coding Time: 2 hrs 37 mins (70.32%)
βοΈ 0 lines written by AI, 2 lines written by hand (0.0% AI-written)
π€ 0 Input Tokens, 0 Output Tokens
π΅ $0.00 Estimated AI Cost This Week
π§ 10 AI Sessions, 13 AI Prompts
π AI Coding Insights:
π§βπ» Mostly Hands-On β 0.0% of written lines came from AI
π Concise Prompter β average 82 characters per prompt
π― One-Shot Prompter β average 1 prompts per session
π Hands-On Reviewer β 100.0% of changed lines were hand-edited
I Mostly Code in Python
Python 13 repos βββββββββββββββββββββββββ 27.08 %
TypeScript 6 repos βββββββββββββββββββββββββ 12.50 %
Shell 3 repos βββββββββββββββββββββββββ 06.25 %
Go 3 repos βββββββββββββββββββββββββ 06.25 %
Rust 1 repo βββββββββββββββββββββββββ 02.08 %
Last Updated on 12/11/2026 01:11:51 UTC
crypticani@fedora:~$ sudo hire-me --email [email protected] [Process completed - Interactive terminal live at https://crypticani.dev]




