~/gagan.dev
Available for internships — Hyderabad, IN

Gagan Kumar
Gajam

computer_science.undergrad({ focus: "AI & ML", layer: "systems + web infra" });

CS student passionate about building dynamic web applications, engineering containerized deployment pipelines, and managing self-hosted Linux homelab infrastructure.

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about

Building at the intersection of ML and infrastructure.

I split my time between two worlds: training and reasoning about models on one side, and keeping real systems online on the other. That means writing Python for AI/ML coursework and side projects during the day, then coming home to tend a self-hosted homelab — reverse proxies, DNS, containers, and a private mesh network holding it all together. I like software that has to actually run somewhere.

whoami --details

location
Hyderabad, IN
focus
AI/ML · Sys Infra
status
open_to_work

stack

Technical skill matrix

languages

Python Java JavaScript C SQL HTML/CSS

devops & infra

Linux (Ubuntu Server) Docker Nginx Proxy Manager Cloudflare DNS Tailscale CasaOS

tools

Git GitHub VS Code REST APIs Dynamic DNS

projects

Selected work

01 · systems engineering

Homelab & Self-Hosted Infrastructure

Ubuntu CasaOS Docker Cloudflare Nginx Tailscale
  • Self-hosted home server ecosystem on Ubuntu Linux + CasaOS running Nextcloud and media services.
  • Containerized DDNS sync bridging a dynamic home ISP IP with Cloudflare A & SRV records.
  • Nginx Proxy Manager for reverse-proxy routing with automated SSL termination.
  • Zero exposed internal ports — admin access secured via Tailscale zero-trust mesh VPN.
network_topology.svg
PUBLIC Public User Cloudflare DNS · A/SRV Nginx Reverse Proxy SSL termination Docker Containers PRIVATE / ADMIN Private Admin Tailscale Mesh VPN zero-trust Home Server 0 exposed ports admin traffic never touches the public internet path

02 · web engineering & analytics

Dynamic Landing Page Generator

JavaScript Layout Engine Analytics API
  • Dynamic landing page generation system built with a cold-start approach for new traffic sources.
  • Adaptive engine restructures UI components in real time based on visitor demographics.
  • Reads behavioral engagement metrics to reorder and reweight page sections.
  • Differentiates layout treatment for organic vs. paid incoming traffic sources.

education

Credentials

B.Tech, Computer Science Engineering (AI & ML)

2023 — 2027

Malla Reddy College of Engineering and Technology (MRCET), Hyderabad, India

CGPA: 7.57 active
Backlogs: 0