Moez Zhioua

A social media management SaaS that helps teams plan, schedule, publish, and analyze content across multiple platforms from a single dashboard.

I worked as the back-end developer, building and maintaining the Django/Python services that power scheduling workflows, content and asset management, analytics data pipelines, and user/role permissions. I designed clean, scalable APIs for the front end, integrated external services where needed, and ensured reliable background processing for queued posts and reporting. I also handled environmental configuration and deployment stability to ensure releases were safe and repeatable.

Delivered an automated lead generation and verification system that removed the manual workload of researching prospects, validating contact details, and preparing outreach-ready records.

I gathered client requirements, mapped the end-to-end workflow, and translated it into clear tasks for the team. I then engineered the automation layer to collect leads, enrich profiles via third-party APIs, validate data quality, and push clean records into CRM pipelines.

The system reduced manual research effort by 20+ hours per campaign, improved consistency of lead data, and made large-scale prospecting scalable. I performed quality assurance tasks to ensure outputs met required standards, monitored edge cases, and presented results to clients during review meetings, iterating quickly based on feedback.

Built a Chrome-based LinkedIn automation extension that helped sales teams and recruiters scale outreach without relying on manual, repetitive steps.

I gathered requirements directly from stakeholders, translated them into clear execution specifications for the team, and owned delivery from build to demo. Technically, I designed the extension logic to automate key workflows, including profile targeting, personalized connection requests, response tracking, and follow-up sequencing, while keeping actions consistent and measurable.

I also implemented supporting back-end services and webhooks where needed, reviewed and analyzed results for quality before client reviews, and iterated on improvements based on feedback to enhance reliability and usability.