Freelancers using Python in Denver
Freelancers using Python in Denver
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Guadalupe Gallegos
Denver, USA
AI Automation & Security Engineer
New to Contra
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AI Automation & Security Engineer
2
Ghost Layer Studio bridges cinematic design and system architecture through the MatrixSecHub Core Map and the Melius Canvas. The Core Map defines mission flow, escalation protocols, and ethical oversight — the operator’s containment grid. The Melius Canvas captures the Ghost Layer workflow in its final state: agent‑verified, repo‑aligned, and sealed for archival. External Repo: Ghost Layer Studio on GitHub (https://github.com/matrixsechub/gH0ST-LaY3r) Melius Canvas: Ghost Layer Studio Submission (https://app.melius.com/projects/400f5d77-6d95-497f-b097-9640ff81fe37/canvas/40c7847a-22a8-4a5e-851b-94336665c110) Signal Detected // System Offline // Archive Ready Tools Used: Image Tool, Text Tool, Agent Tool (Gemini 3.1 Pro), Canvas Tool
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AI Hiring Workflow & Candidate Automation System I built an end‑to‑end AI‑powered hiring workflow that automates the entire candidate lifecycle — from screening to onboarding. This system replaces manual review, inconsistent communication, and slow decision‑making with a clean, structured, and fully automated pipeline. What it does: • Screens resumes and applications with role‑specific criteria • Extracts skills, experience, and red flags automatically • Generates structured candidate summaries for fast review • Automates candidate communication and follow‑ups • Schedules interviews and routes candidates to the right stage • Delivers onboarding steps and training materials automatically Why it matters: Hiring is one of the most chaotic operational areas for most teams. This system turns it into a predictable, auditable workflow that saves hours per week and improves candidate experience. Tech used: AI models, embeddings, workflow automation (n8n), async operations, secure data handling, custom scoring logic. Outcome: A fast, fair, and scalable hiring pipeline that reduces time‑to‑hire, improves clarity, and eliminates repetitive manual work.
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⚙️ Intelligent Business Automation System I build intelligent automation systems that eliminate manual work and keep operations running clean, fast, and predictable. This system combines AI reasoning, workflow automation, and secure integrations to handle the tasks teams shouldn’t be doing manually. What it does: • Automates repetitive workflows end‑to‑end • Connects tools like n8n, Notion, APIs, and internal systems • Handles logic, routing, and decision‑making • Reduces operational drag and human error • Runs asynchronously and scales with workload Why it matters: Most businesses lose hours every week to manual tasks. This system replaces that friction with a reliable automation layer that executes instantly and consistently.
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🟩 MSH OPS // DEV LOG — A Visual Transmission The Operator Division goes live. This isn’t a trailer — it’s a signal. A broadcast from the cockpit showing how we build, test, and evolve the MatrixSecHub architecture in real time. 🎥 Video: MSH OPS Dev Log 🧠 Focus: AI Engineering × Cyber Ops × System Design ⚙️ Objective: Demonstrate the tactical workflow behind the TTX engine and operator systems. Every frame is engineered — no filler, no fluff. Just pure transmission from the field. Subscribe on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7435095198671519744 #MatrixSecHub #MSHOPS #AIEngineering #CyberOps #DevLog #OperatorDivision #TTX2050 #AureliusSignal
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Python
(3)
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Mohammed Alsamdani
Denver, USA
Data Scientist | Renewable Energy Analyst | Prompt Engineer.
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Data Scientist | Renewable Energy Analyst | Prompt Engineer.
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Analyzing Customer Energy Consumption Patterns
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Power Systems Optimization using Data Science
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Renewable Energy Data Analysis
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Python
(3)
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Alexis Nieves
pro
Denver, USA
Senior DevOps/SRE | AWS, Kubernetes & Terraform Expert
New to Contra
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Senior DevOps/SRE | AWS, Kubernetes & Terraform Expert
0
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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Comparing AWS ECS and AWS EKS for Container Orchestration
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Implementing Additional Checks for AWS Security
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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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Python
(1)
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Asim Zaidi
pro
Denver, USA
Developing custom websites and scalable software.
9
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Developing custom websites and scalable software.
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HCTC - Inventory Management Solution
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10
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Cavenwell Revolutionizing AI-Driven Efficiency Across Industries
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Sneakertopia - Sneaker Design with AI-Powered Customization
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48
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MDPocket-Healthcare e-commerce platform
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42
Python
(2)
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Mihai Avram
Denver, USA
Tech-Agnostic MVP Creator
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Tech-Agnostic MVP Creator
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Leadership Analytics/AI - for ghSMART
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6
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Essential Startup Bytes
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3
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Fakey - Media Literacy App
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13
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Python
(1)
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Joseph Khawly
Boulder, USA
Full Stack Web Developer
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Full Stack Web Developer
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Goodnight Hospitality
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7
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Drunk Elephant Smoothie Finder
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3
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Vintage for Y'all
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2
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Python
(1)
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Alexander Chester
Boulder, USA
10 years in Business Consulting & Creative Leadership
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10 years in Business Consulting & Creative Leadership
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Founder, Ops Lab (Operations & business design agency)
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Starlink Operations Leader at SpaceX
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Head of Operations for organic CPG startups (1M -> 20M in 2yr)
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Python
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Uche Ogbuji
Boulder, USA
Pioneering AI/Data/Software engineering lead— Builder/solver
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Pioneering AI/Data/Software engineering lead— Builder/solver
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Toolio platform for Private AI/Large Language Model Agents
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12
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10minclimate.com
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BiblioGraph | EBSCO
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Inclusive Guide
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5
Python
(3)
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