Hello! I'm
|
Aspiring
CLOUD
ENGINEER
ABOUT ME
I'm a Master's student focused on cloud engineering fundamentals — compute, storage, networking, IAM, and deployment. I learn best by building and documenting projects, and I'm actively improving my skills in Python, SQL, and cloud services.
WHAT
I DO
BUILD
Cloud Infrastructure
Designing and deploying scalable cloud infrastructure on AWS using Terraform and CloudFormation. From compute and storage to networking, IAM, and cost optimization.
DEVELOP
Full-Stack Applications
Building full-stack applications, REST APIs, and data pipelines. Writing clean, maintainable code across the stack — from database to UI.
AUTOMATE
CI/CD & DevOps
Streamlining deployments with CI/CD pipelines, containerization, and monitoring. Reducing toil, increasing reliability and deployment velocity.
My career & experience
Graduate Student
Arizona State University
NOW
Pursuing MS in Information Technology with a focus on cloud infrastructure, data engineering, and DevOps. Building real-world projects across AWS, Terraform, and full-stack development.
Full-Stack Developer
Freelance / Personal Projects
2024
Built a real-world driving school management system — full-stack web + mobile app (React Native, Node.js, MongoDB) replacing paper-based operations with secure digital workflows, TOTP MFA, and live dashboards.
ML Engineer
Academic Project
2023
Developed a text-based emotion classification system using NLP and machine learning, predicting emotional categories from user input with labeled datasets.
My Work
01
Senthil Velan Driving School Management System
Full-Stack • React Native • Node.js • Express.js • MongoDB • TOTP MFA
Built a full-stack digital management system replacing manual paper-based operations with a secure web portal and mobile app. Includes customer record management, revenue dashboards, booking tracking, fee monitoring, and role-based login with two-factor authentication.
02
Emotion Recognition Using Text Analysis
NLP • Python • Machine Learning
A text-based emotion classification system using NLP. The model analyzes user input and predicts emotional categories — happiness, anger, sadness, fear — based on learned patterns from labeled datasets.
MY TECHSTACK
Certifications
Current progress and verified credentials.
Databricks Fundamentals
CONTACT
Built by Yadesh Harihar
© Yadesh Harihar. All Rights Reserved.