c
chtalhar55

Talharehan

@chtalhar55
4,7(2)

ML AI Generative AI

Pakistan
Anglais, Ourdou, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
I'm a DevOps & Cloud Engineer focused on AWS infrastructure, Docker, CI/CD automation, Linux servers, and application deployment. I help startups, developers, and businesses deploy applications, automate deployments, troubleshoot server issues, and build reliable cloud infrastructure. My expertise includes: • AWS EC2, VPC, IAM & cloud infrastructure • Terraform & Infrastructure as Code • Docker & Docker Compose • GitHub Actions & CI/CD pipelines • Linux server administration • Nginx, reverse proxy & SSL • Application deployment on AWS & VPS • Deployment and server troubleshooting... Plus d’infos

Compétences

c
chtalhar55
Talharehan
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Gestion du cloud
I will deploy your web app on AWS or vps with docker nginx and SSL
4,3(1)
CI/CD
I will set up ci cd pipeline with github actions, docker and AWS
5,0(1)

Portfolio

Expérience professionnelle

DevOps Engineer

Jayzenai • Freelance

May 2024 - Present • 2 yrs 4 mos

* Managed and maintained cloud infrastructure and application deployments using AWS and Linux servers. * Containerized applications using Docker and Docker Compose for consistent development and deployment environments. * Built and maintained CI/CD workflows using GitHub Actions to automate application build and deployment processes. * Configured and managed Nginx as a reverse proxy for web applications and APIs. * Handled SSL/HTTPS configuration, domain setup, environment variables, and server configurations. * Troubleshot Docker, Linux, Nginx, deployment, and application runtime issues. * Worked with Terraform for Infrastructure as Code and repeatable AWS infrastructure provisioning. * Monitored deployment issues and performed root-cause analysis to improve application reliability and deployment workflows. * Collaborated with development teams to support application releases, infrastructure requirements, and production deployments.

AI engineer

Vision Code Technologies • Temps plein

Apr 2024 - Jan 2026 • 1 yr 9 mos

Responsible for building and deploying production-level machine learning systems across Natural Language Processing (NLP), Generative AI, and Computer Vision domains. Developed scalable and high-performance ML inference APIs using FastAPI, Flask, and Django, enabling reliable model deployment and integration with real-world applications. Designed and implemented Retrieval-Augmented Generation (RAG) pipelines, LLM-based intelligent assistants, and AI-driven automation workflows to enhance system capabilities and efficiency. Built YOLO and OpenCV-based computer vision pipelines for real-time detection and inference tasks. Additionally, mentored three or more junior engineers, guiding them in best practices while establishing and maintaining structured code review standards to ensure high-quality, maintainable code across projects.

Flutter Developer-Intern

Codes Orbit • Temps partiel

Jun 2023 - Sep 2023 • 3 mos

Developed Flutter features with API integration and state management. Collaborated with backend and design teams

2 Avis
4,7

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Détails de la notation
  • Niveau de communication avec le freelance
    5
  • Qualité de la livraison
    4,5
  • Valeur de la livraison
    4,5
1 à 2 avis sur 2
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