Skill Set

I bring a diverse background across key domains in IT. My expertise spans modern tools, methodologies, and platforms essential for building scalable, secure, and intelligent systems.

DevOps & MLOps.

  • Proficient in CI/CD automation & version control using Git, GitHub Actions and Jenkins
  • Skilled in containerization with Docker and orchestration with Kubernetes and other Microservice tools.
  • Manage infrastructure using Terraform and AWS CloudFormation
  • Deploy and monitor ML models using MLflow and AWS SageMaker
  • Ensure reliable pipelines across development and production environments
  • Proficient in automation tools such as: Ansible, Chef, Puppet
  • Highly skilled in AWS services such: AWS Elastic Beanstalk, AWS Lambda, AWS System Manager, AWS SAM, AWS CodePipeline, AWS CloudWatch and others.

Network Engineering.

  • Design, implement, and manage complex LAN/WAN/VLAN infrastructures.
  • Expertise in routing protocols (BGP, OSPF, EIGRP) and switching technologies.
  • Configuration and troubleshooting of Cisco, Juniper, and Arista network devices.
  • Network security implementation: firewalls (Palo Alto, Fortinet), IDS/IPS, VPNs.
  • Network monitoring and performance optimization using tools like Nagios, Wireshark.
  • Proficient in network automation with Python (Netmiko, NAPALM).
  • Highly skilled in AWS Cloud Network Engineering and Computing -- [ AWS PrivateLink, VPC(Gateway & Interface Endpoints) ].

Data Science, Machine & Deep Learning (& Generative AI).

  • Develop and deploy ML/DL models using Python, TensorFlow, PyTorch, and scikit-learn.
  • Expertise in NLP, computer vision, and time-series analysis.
  • Experience with Generative AI: LLMs (e.g., ChatGPT, Llama, Gemini), diffusion models for image generation.
  • Data preprocessing (E.T.L pipeline), Feature engineering, Pandas, NumPy, Matplotlib, Seaborn, Model evaluation/fine-tuning/distillation.
  • Utilize MLOps tools: Kubeflow, MLflow, AWS SageMaker for end-to-end model lifecycle management.
  • Proficient in cloud AI platforms: AWS SageMaker (also: AWS Glue, AWS Athena, DataBrew, Firehose), Azure Machine Learning, Google Vertex AI.

Project Management.

  • Can lead and manage technical projects using Agile (Scrum, Kanban) and Waterfall and other methodologies.
  • Proficient with project management tools: Jira, Confluence, Asana, MS Project.
  • Highly competent in Risk assessment & impact analysis, mitigation planning, and stakeholder management.
  • Proficient in project planning, Resource allocation, budget tracking, and timeline adherence.
  • Skilled in the facilitation of cross-functional team collaboration and communication.
  • Highly adept in ensuring project delivery aligns with business objectives and quality standards.

Solutions Architect & Site Reliability Engineer (SRE).

  • Design and implement scalable, resilient, and cost-effective cloud solutions on AWS, Azure, and GCP.
  • Apply Site Reliability Engineering (SRE) principles for system stability and performance.
  • Infrastructure as Code (IaC) expert: Terraform, AWS CloudFormation, Azure Resource Manager.
  • Develop and maintain CI/CD pipelines for infrastructure and application deployments.
  • Implement robust monitoring, logging, and alerting systems (Prometheus, Grafana, ELK Stack, Datadog).
  • Conduct performance analysis, incident response, and post-mortems.

Linux System Administrator.

  • Expert in installation, configuration, and maintenance of Linux servers (RHEL, CentOS, Ubuntu, Debian, SUSE).
  • Proficient in Bash/Shell scripting for automation and system tasks.
  • System monitoring, performance tuning, and troubleshooting.
  • User and group administration, security hardening (SELinux, AppArmor), and patch management.
  • Configure and manage web servers (Apache, Nginx), databases (MySQL, PostgreSQL), and other services.
  • Implement backup, restore, and disaster recovery solutions.
  • Proficient in other non-Linux Sys.Admin skills such as: Micrsoft Active Directory(AD) and Azure Active Directory.