Anower Hossen Zihad

terminal
$ whoami
DevOps Engineer
$ cat skills.txt
AWS | Docker | Kubernetes | Terraform | Ansible | CI/CD | Python | JavaScript
$
Get in Touch Download Resume

About Me

I'm a DevOps Engineer with expertise in automating infrastructure and deploying cloud-based applications. With a strong background in computer science and hands-on experience in DevOps, I specialize in containerization, infrastructure as code, and CI/CD pipelines.

Currently pursuing a Master of Computer Science at Montclair State University, I previously worked as a Junior DevOps Engineer at TS4U LLC where I deployed and monitored multiple three-tier and microservices applications on AWS cloud platform.

Education

Bachelor of Computer Science and Engineering

Chittagong Independent University, Chittagong, Bangladesh

CGPA: 3.90/4.00

Sep. 2018 – Aug. 2022

Experience

Junior DevOps Engineer

TS4U LLC, Warren, Michigan, United States

Feb. 2023 – April 2024

  • Deployed and monitored multiple three-tier and microservices applications on the AWS cloud platform, utilizing various Containerization, Container Orchestrator, IAC and CI/CD tools.
  • Set up and maintained AWS cloud services such as EC2, VPC, RDS, S3, IAM, ECR, EKS allowing for effective cloud resources provisions and management.
  • Built several containerized microservices applications, including E-commerce app with Kubernetes and Docker, enabling quicker and more efficient software delivery.
  • Automated infrastructure deployment and configuration using Infrastructure-as-Code (IaC) tools such as Terraform and Ansible, minimizing manual errors and enhancing efficiency up to 30%.
  • Implemented and optimized CI/CD pipelines using GitLab CI/CD, GitOps and Jenkins to automate the build, test, and deployment processes, resulting in a great reduction in release cycle times.
  • Integrated monitoring and logging solutions, such as Prometheus, Grafana, and the EFK stack, which enable proactive identification of issues and resolution.

Research Assistant

Chittagong Independent University, Chittagong, Bangladesh

Dec. 2021 – Nov. 2022

  • Enriched the resource-poor Bengali news corpus with a collection of primary datasets of real and fabricated news.
  • Developed different combinations of ML and DNN models and experimented with transformer models to classify Bengali fake news and real news which achieved improvement on Bangla fake news detection with 1.4% to 3.8% in previous benchmark scores.
  • Co-authored a paper titled "Bangla Fake News Detection using Machine Learning, Deep Learning and Transformer Models" presented at the 25th International Conference on Computer and Information Technology (ICCIT), 2022.

Technical Skills

Programming Languages

Python
JavaScript
Bash
SQL
C/C++
Java

Cloud & Infrastructure

AWS EC2
AWS VPC
AWS S3
AWS RDS
AWS IAM
AWS EKS

Containerization & Orchestration

Docker
Kubernetes

CI/CD & IaC

Terraform
Ansible
GitLab CI/CD
Jenkins
GitOps
ArgoCD

Monitoring & Logging

Prometheus
Grafana
EFK Stack

Web Technologies

Node.js
Flask
MongoDB

Machine Learning

TensorFlow/Keras
Pandas
NumPy
Scikit-Learn

Projects

Urban Bangla

A web application to store modern Bengali words (internet words/slangs) that may not be in orthodox dictionaries. Users can login using Google account, submit new words, view/search/upvote/downvote words, and navigate using pagination.

Flask MongoDB RESTful API GoogleAuth
GitHub Live Demo

WebRTC Video Chat App

A web application that lets users video chat in rooms in a peer-to-peer system. Utilized the WebRTC API and configured the TURN server for relay connection on AWS EC2.

Node.js Express.js WebRTC PeerJS Web Sockets AWS EC2
GitHub

Bengali Fake News Detection

Research project to enrich the resource-poor Bengali news corpus with a collection of primary datasets of real and fabricated news. Developed different combinations of ML and DNN models and experimented with transformer models to classify Bengali fake news and real news.

Machine Learning Deep Learning Transformer Models NLP Python
Research Paper

Get In Touch

Phone

911

Location

United States