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Tatiana Denel's avatar
Tatiana Denel
Ramat Gan, Israel
DevOps, GCP, AWC, PCC, Docker, K8s, Terraform, CI/CDPipeline
    8
    Followers
DevOps, GCP, AWC, PCC, Docker, K8s, Terraform, CI/CDPipeline
Cover image for High-Security DevOps Pipeline for a Financial Platform
High-Security DevOps Pipeline for a Financial Platform
1
16
Cover image for Scalable Cloud Migration for a FinTech Platform
Scalable Cloud Migration for a FinTech Platform
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13
Cover image for Multi-Region Disaster Recovery & High Availability Setup
Multi-Region Disaster Recovery & High Availability Setup
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19
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Alexis Nieves's avatar
Alexis Nieves
Denver, USA
Senior DevOps/SRE | AWS, Kubernetes & Terraform Expert
New to Contra
Senior DevOps/SRE | AWS, Kubernetes & Terraform Expert
Cover image for Architected and implemented a production-grade,
Architected and implemented a production-grade, fully automated DevOps platform on AWS, covering the entire software delivery lifecycle from code commit to live deployment. The platform integrates eight tightly coupled layers: a developer workflow built on Git, Docker Compose, and pull requests; a GitHub Actions CI/CD pipeline with dedicated workflows for continuous integration, deployment, Terraform provisioning, security scanning, and semantic releases; and a multi-tool security gate enforcing SAST, SCA, IaC scanning, container analysis, OWASP ZAP, and CodeQL checks before any artifact progresses. Infrastructure is provisioned as code using Terraform, deploying a multi-AZ VPC, an EKS cluster, ECR repositories, RDS MySQL, an ALB with WAF, and IAM OIDC integration on AWS. Applications are packaged with Helm Umbrella Charts and deployed to Kubernetes with Horizontal Pod Autoscaling (2–8 replicas) and RBAC-enforced NetworkPolicies. GitOps state management is handled by ArgoCD, providing continuous reconciliation, drift detection, auto-sync, and self-healing across all application sets. Observability is delivered through a dual-stack setup: a metrics pipeline (Prometheus → Grafana → Alertmanager → Slack) and a log aggregation pipeline (Filebeat → Logstash → Elasticsearch → Kibana). Releases are fully automated using Semantic Release with Conventional Commits, producing versioned GitHub Releases and Docker image tags without manual intervention.
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101
Cover image for Comparing AWS ECS and AWS EKS for Container Orchestration
Comparing AWS ECS and AWS EKS for Container Orchestration
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2
Cover image for Implementing Additional Checks for AWS Security
Implementing Additional Checks for AWS Security
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2
Cover image for Designed and developed a Command
Designed and developed a Command Line Interface (CLI) security tool that leverages the Google Gemini API (gemini-2.5-flash) to perform advanced, AI-driven vulnerability analysis on Python codebases. This tool acts as an automated security engineer, scanning source code to detect critical flaws before they reach production. The scanner parses Python files and evaluates them against a detailed security prompt to identify vulnerabilities such as SQL injection, hardcoded secrets (API keys and database passwords), weak cryptography (e.g., MD5 hashing), insecure deserialization, and improper input validation. It outputs a structured, color-coded terminal report assigning severity ratings (🔴 High, 🟠 Medium, 🟢 Low) to each finding. For every detected issue, the tool provides the vulnerability type, the exact line number, a concise explanation of the risk and potential impact, and actionable remediation advice with secure code fixes. The architecture is built on a lightweight Python foundation using a virtual environment for dependency isolation. It utilizes the google-generativeai SDK for model interaction and python-dotenv for secure environment variable management, ensuring API keys are never hardcoded. This project demonstrates the ability to integrate cutting-edge Large Language Models (LLMs) into traditional DevSecOps workflows, providing enterprise-grade security scanning capabilities directly within the developer's terminal.
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59
Helm(1)
Yasser Boukhers's avatar
Yasser Boukhers
Paris, France
CI/CD Specialist | Kubernetes, Docker & Jenkins Guru
    $1k+
    Earned
    1x
    Hired
    3
    Followers
CI/CD Specialist | Kubernetes, Docker & Jenkins Guru
Cover image for High Availability Jenkins CloudBees Deployment Automation
High Availability Jenkins CloudBees Deployment Automation
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29
Cover image for Scalable Kubernetes Infra with Automated Canary Deployment
Scalable Kubernetes Infra with Automated Canary Deployment
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28
Cover image for Infrastructure Automation with Advanced Ansible Techniques
Infrastructure Automation with Advanced Ansible Techniques
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25
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Stanislav Stankov's avatar
Stanislav Stankov
Sofia, Bulgaria
Principal Product Manager
Principal Product Manager
Cover image for SaaS Shipment Tracking System
SaaS Shipment Tracking System
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5
Cover image for AOL Communities PoC
AOL Communities PoC
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6
Cover image for PLG Data Driven Growth for B2B SaaS
PLG Data Driven Growth for B2B SaaS
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3
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Joshua Rotimi's avatar
Joshua Rotimi
Atlanta, USA
AI Output Evaluator & LLM Quality Specialists
New to Contra
AI Output Evaluator & LLM Quality Specialists
Cover image for A sample LLM evaluation report
A sample LLM evaluation report analyzing AI responses for accuracy, reasoning quality, hallucinations, and failure patterns. Demonstrates structured testing and quality assessment workflows.
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199
Cover image for Evaluated 60 multi-turn conversations from
Evaluated 60 multi-turn conversations from a retail support AI to track context retention, persona consistency, and task completion across longer exchanges. Found that context drops clustered around the third and fourth turn, pointing to a memory window limitation rather than random failures, and flagged each instance with the exact turn where context broke down.
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52
Cover image for Ran 48 adversarial prompts against
Ran 48 adversarial prompts against a production LLM to surface jailbreak vulnerabilities, role override attempts, and context manipulation before a public launch. Found 11 vulnerabilities including 3 critical, documented every failure with reproducible prompts, and delivered a prioritised risk report with fixes.
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56
Cover image for Built a custom evaluation rubric
Built a custom evaluation rubric for scoring AI customer support outputs across five weighted dimensions: factual accuracy, reasoning validity, instruction adherence, adversarial robustness, and format compliance. Each dimension includes plain-language scoring criteria so any team member can apply it consistently, no AI background required.
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50
Helm(1)
Gabe G's avatar
Gabe G
São Paulo, Brazil
DevOps engineer fixing CI/CD and cloud failures
DevOps engineer fixing CI/CD and cloud failures
Cover image for Docker & Kubernetes Issues
Docker & Kubernetes Issues
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43
Cover image for AWS Deployment Fix
AWS Deployment Fix
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40
Cover image for Terraform Debug
Terraform Debug
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44
Cover image for CI/CD Pipeline Failure Root Cause
CI/CD Pipeline Failure Root Cause & Fix
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73
Helm(1)
Warintorn Tang's avatar
Warintorn Tang
Bangkok, Thailand
Visualizing Complex IT & Database Solutions
Visualizing Complex IT & Database Solutions
Cover image for Kong Hybrid Proof of Concept
Kong Hybrid Proof of Concept and Architecture Assessment : Supported a Kong Hybrid proof of concept covering control plane and data plane design, traffic flow, configuration flow, and target environment considerations for broader platform adoption.
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48
Cover image for Technical Documentation and Migration Support
Technical Documentation and Migration Support : Prepared technical documentation, migration checklists, handover materials, and implementation summaries for infrastructure and database-related projects.
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40
Cover image for AWS Aurora to Azure MySQL
AWS Aurora to Azure MySQL Migration : Participated in cross-cloud migration activities from AWS Aurora to Azure MySQL, including compatibility review, migration considerations, and target environment assessment.
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47
Cover image for AWS EC2 to Azure VM
AWS EC2 to Azure VM MSSQL Migration : Supported cross-cloud migration activities for Microsoft SQL Server workloads from AWS EC2 to Azure VM. Reviewed workload compatibility, target architecture, and migration considerations for the target platform.
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63
Helm(1)