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jashkarangiya/README.md
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πŸ‘‹ About Me

I'm a first-year Master's student in Computer Science at Arizona State University. I like building systems where Machine Learning, AI, cloud infrastructure, and server-side engineering meet, and I care just as much about how real systems run, scale, and stay reliable as I do about the models themselves.

class Jash:
    """MS CS @ ASU building reliable ML and cloud systems."""

    def __init__(self):
        self.role      = "MS CS Student @ ASU"
        self.focus     = ["Deep Learning", "Computer Vision", "Cloud Native", "Homelab"]
        self.stack     = {
            "languages": ["Python", "Java", "JavaScript", "C++"],
            "ml":        ["PyTorch", "TensorFlow", "OpenCV"],
            "cloud":     ["GCP", "Azure", "Docker", "Linux"],
        }
        self.currently = "Building a self-hosted homeserver with Proxmox"
        self.open_to   = "Applied ML, Backend, and Cloud infra collaborations"

    def say_hi(self) -> str:
        return "Let's build something reliable. πŸš€"


me = Jash()
print(me.say_hi())
  • 🧠 AI / ML: deep learning, computer vision, neural networks, intelligent systems
  • πŸ–₯️ Servers & Homelab: Linux, self-hosting, networking, system administration
  • 🐳 Containers: Docker-based, reproducible deployment workflows
  • ☁️ Cloud Native: Google Cloud, Azure, distributed & scalable deployments
  • πŸ”¬ Research: published comparative work on CNN vs. RNN vision models

πŸ”­ Currently building a self-hosted homeserver with Proxmox, and documenting the whole build in public on Medium.


πŸ”¬ Featured Research

πŸ“˜ From Pixels to Text: A Comparative Evaluation of CNN and RNN Models Published in Springer LNNS Β· Presented at SmartCom 2024

Read the paper


πŸ› οΈ Tech Stack

Languages

Python Java JavaScript C++

AI / ML

PyTorch TensorFlow OpenCV scikit-learn

Backend & Web

Node.js React Express

Cloud, DevOps & Systems

Google Cloud Azure Docker Linux Git GitHub


πŸ–₯️ Systems, Servers & Homelab

I'm fascinated by the infrastructure underneath applications: Linux servers, containers, networking, and self-hosted tooling. I run homelab-style setups to understand reliability, deployment workflows, storage, and monitoring from the ground up.

🐧 Linux environments & CLI workflows 🐳 Docker for reproducible deployments
🌐 Networking & self-hosting πŸ“¦ Backend services, APIs & cloud apps
πŸ“Š ML/AI workloads as scalable services πŸ”Œ Monitoring, storage & sysadmin

☁️ Cloud Certifications

Google Cloud Microsoft Azure
πŸ›  Create & Manage Resources βœ… Certified: Azure Fundamentals (AZ-900)
βš™οΈ Foundational Infrastructure

πŸ“ˆ GitHub Analytics



"The best way to predict the future is to invent it."

Alan Kay

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