Hi There!

I'M SUDHAMSH RAMA

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Professional Status

F-1 Visa Holder
Legally authorised to work in USA
Open to relocation

What I Do

DevOps, Cloud, and Software Engineering with a pinch of AI/ML. I turn ideas into maintainable, monitored, production-grade services.

Where I Am

Dallas, Texas

About Me

Hey, I am Sudhamsh Rama from Dallas, Texas. I am currently pursuing my Master’s in Computer Science at UT Arlington with a focus on DevOps, Cloud, and AI-driven engineering. I’ve worked as an Associate DevOps Engineer and Linux Administrator, building automation, deployments, and secure systems across AWS and Azure. I love building reliable systems that are not just functional, but also easy to manage and maintain.

"We are what we repeatedly do. Excellence, then, is not an act, but a habit. " - Aristotle

Beyond Code I love

Billiards
Travel
Photography
Gym

Professional Experience

Associate DevOps Engineer ( Summer Intern ) — Approct, Delaware, USA

May 2024 – Aug 2024

Contributed to building and optimizing CI/CD pipelines using Azure DevOps and GitHub Actions, assisting in reducing deployment time and enhancing team efficiency.
Gained hands-on experience with Infrastructure as Code (IaC), provisioning cloud resources with Terraform and deploying containerized applications with Docker and Kubernetes.
Supported system reliability by implementing monitoring dashboards and assisting with incident response, leveraging tools like Prometheus and Grafana.

Linux Administrator — Meltag Marketing, Hyderabad, India

Feb 2023 – Dec 2023

Managed and maintained critical Ubuntu servers on AWS, ensuring high availability and performance for Python applications and databases.
Automated routine system tasks and security checks using Python and Bash scripting, resulting in an estimated saving of 5 hours per week.
Developed and implemented robust backup and disaster recovery plans to ensure data integrity and business continuity.

Skills & Tools

Projects

Smart Container — AI-Driven Inventory

Built a real-time inventory system with IoT sensors and a cloud backend delivering ~98% precision and sub-second latency, complete with low-stock alerts.

IoT • Flask APIs • Cloud • Mobile UI

Library Management Hub

Full‑stack app with secure auth, modular REST APIs, and role‑based access control for streamlined library operations and data integrity.

Flask • MySQL • RBAC

AI Recommendation Engine

Delivered personalized learning resources by combining feature engineering with vector-based search for faster, more accurate retrieval.

TensorFlow • Scikit‑learn • PostgreSQL

Fire/Smoke Detection

Built a real-time CV pipeline using deep nets (ResNet-50 + Bi-FPN), tuned with IoU and cross-entropy to boost detection accuracy for safety systems. Provides immediate alerts to enhance safety and enable instant threat identification.

Computer Vision • Deep Learning