About

Devops Engineer
Welcome to my digital space! I am a dedicated DevOps Engineer with a passion for bridging the gap between software development and operations through innovative cloud solutions, automation, and effective system integration. My journey is fueled by a relentless pursuit of efficiency, scalability, and reliability in every project I embark on. Beyond orchestrating seamless deployment pipelines and infrastructure as code, I thrive on continuous learning and adapting to the ever-evolving tech landscape.
In pursuit of challenging roles within dynamic organizations, I am eager to leverage my expertise in DevOps practices to foster environments where continuous integration, continuous delivery, and high operational performance are not just goals, but standards. My mission is to drive growth, efficiency, and resilience through technology, ensuring my skills contribute significantly to the company's success and innovation. I am always on the lookout for opportunities to expand my knowledge, push boundaries, and contribute to a culture of excellence and continuous improvement.
- Phone: +1 9517432535
- City: Jersey City, New Jersey
- Degree: Master of Science in Software Engineering (2019-2021)
- Email: hinahirpara4897@gmail.com
Experience
Arria NLG
DevOps Engineer
GTPL Hathway Ltd
Jr. Cloud/DevOps Engineer
Kasseva Health & Wellness
Digital Marketing Intern
Projects
Data Analysis
- Completed Data Analysis projects with Simple linear regression, Multi linear regression, one-way ANOVA, two-way ANOVA.
- Technology used: R studio Cloud.
Cloud Infrastructure
- Created 3 different environments Dev, QA, and Prod. Goal was to create ECS (EC2) in dev environment, stage and production env ECS (Fargate) with Terraform.
- Created resources as follows: VPC with public private subnets, Route Tables attached to subnets, Internet Gateway attached to public subnets, security groups and roles for ECS Cluster and Task definitions and services, created two LB using Blue/Green deployment and CI/CD using AWS Code Pipeline for production.
- AWS Service used: ECS, AWS Code Pipeline, Code Build, Code Deployment, RDS.
- Toxic Comment Detection Analysis.
- Created multi-language toxic comment detection analysis using machine learning algorithms.
- Used four different machine learning models to evaluate Google’s Jigsaw Multi-lingual toxic comment classification dataset.
- Technology Used: Python, Machine Learning Algorithms.
Skills
- Bash
- Shell
- Python
- R
- GO
- JavaScript
- JSON
- YAML
- AWS
- Microsoft Azure
- GCP
- Heroku
- Vercel
- Cloudflare
- GIT
- GitHub
- GITLAB
- BitBucket
- Docker
- Kubernetes/K8
- Jenkins
- Azure DevOps
- Ansible
- Chef
- Puppet
Achievements



February 18, 2021

March 2021
Education
California Baptist University
Master of Science in Software Engineering
Courses:
Sal College Of Engineering
Bachelor of Engineering in Information Technology
GPA: 3.7/4
2014 - 2018