Hi, I'm Owen, a Full Stack Software Engineer and the founder of OMKTech. I help businesses transform ideas into scalable, secure, and high-performance software solutions.
I specialize in designing and developing enterprise web and mobile applications, including ERP systems, e-commerce platforms, HR and workforce management systems, POS solutions, payment integrations, and custom business software.
My expertise spans the entire software development lifecycle—from system architecture and database design to API development, cloud deployment, and ongoing maintenance. I focus on writing clean, maintainable code while delivering intuitive user experiences and reliable backend systems.
My technical stack includes Laravel, React, Flutter, PHP, JavaScript, PostgreSQL, MySQL, Redis, Docker, Nginx, Firebase, and REST APIs.
Whether you're launching a new product, modernizing an existing platform, or integrating complex business systems, I deliver solutions that are scalable, efficient, and built for long-term growth.
The Real Repo: a learning platform where developers practise real software-team work inside a simulated company, from tickets and code reviews to deploys, until they earn a promotion. I designed and built the platform and run its YouTube channel.
Multi-Model Social Media Agent — Automated Content Workflows
Built by QuantEve Technologies | AI Automation & Full-Stack Engineering
Designed and developed an AI-powered social media workflow that streamlines content research, drafting, evaluation, approval, publishing, and performance analysis.
Rather than relying on a single model for every task, the system uses a multi-model workflow to organize content operations into manageable stages, with persistent state and human review where needed.
Core Capabilities
Content Research: Organizes topics and research inputs into a structured content workflow.
AI-Assisted Drafting: Generates social media content for platforms such as X and LinkedIn.
Multi-Model Processing: Supports model-provider alternatives and fallback handling for more resilient workflows.
Draft Evaluation: Adds an evaluation stage to review and improve content before it moves forward.
Human Approval: Keeps content review separate from publishing so drafts can be checked before external actions.
Workflow Persistence: Uses SQLite-backed queues and stored state to track content as it moves through the system.
Performance Feedback: Organizes publishing analytics and feedback to inform future content decisions.
Engineering Focus
The system brings AI model orchestration, application logic, persistent workflow state, and social media operations together in one maintainable automation pipeline.
Technology Stack
Python / Node.js (depending on the deployed component) · LLM APIs · REST APIs · SQLite · Workflow Automation · Social Platform Integrations
Built by QuantEve Technologies to demonstrate how AI can automate repetitive content operations while keeping the workflow organized, reviewable, and controllable.
Keeping content review separate from publishing, with state in SQLite queues, is a sensible setup. When a model provider fails mid-run and the fallback kicks in, does the queue retry just that stage with the next model, or does the draft restart from research?