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. π"
me = Jash()
print(me.say_hi())- π§ AI / ML: deep learning, computer vision, neural networks, intelligent systems
- π₯οΈ Servers & Homelab: Linux, self-hosting, networking, system administration
- π³ Containers: Docker-based, reproducible deployment workflows
- βοΈ Cloud Native: Google Cloud, Azure, distributed & scalable deployments
- π¬ Research: published comparative work on CNN vs. RNN vision models
π Currently building a self-hosted homeserver with Proxmox, and documenting the whole build in public on Medium.
π From Pixels to Text: A Comparative Evaluation of CNN and RNN Models Published in Springer LNNS Β· Presented at SmartCom 2024
Languages
AI / ML
Backend & Web
Cloud, DevOps & Systems
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.
| π§ Linux environments & CLI workflows | π³ Docker for reproducible deployments |
| π Networking & self-hosting | π¦ Backend services, APIs & cloud apps |
| π ML/AI workloads as scalable services | π Monitoring, storage & sysadmin |
| Google Cloud | Microsoft Azure |
|---|---|
| π Create & Manage Resources | β Certified: Azure Fundamentals (AZ-900) |
| βοΈ Foundational Infrastructure |




