This project focuses on a critical component of a larger TikTok automation software: automatically posting content without triggering TikTok's bot detection systems and avoiding account shadow bans.

The auto-posting feature was considered the most challenging part of the entire automation process. The original development team faced persistent issues with bot detection and shadow banning. I was invited to join the project specifically to resolve this complex challenge — and I successfully did.

- Bypassing TikTok's bot detection algorithms that flag automated actions, leading to shadow bans.

- Simulating human-like interactions while posting, including randomized delays, user-agent management, and browser fingerprinting.

- Ensuring long-term account safety while maintaining high-volume posting capabilities.

- Utilized Chromium-based browser emulation with tailored configurations, including dynamic user-agent strings and language preferences.

- Implemented realistic human interaction patterns, such as variable time delays, mouse movements, and scroll behaviors.

- Integrated proxy rotation, geolocation, WebRTC management, and WebGL rendering adjustments to further mimic real user activity.

- Conducted extensive testing to monitor posting behavior, ensuring the system remained undetected by TikTok's security measures.

- Successfully deployed an auto-posting module that operates at scale without triggering TikTok's bot detection.

- No shadow bans or account restrictions were experienced during prolonged testing periods.

- The solution restored confidence in the entire TikTok automation software, allowing the broader system to function as originally intended.

This project demonstrates my ability to solve complex automation challenges that others could not resolve. By blending advanced automation techniques with deep knowledge of bot detection evasion, I delivered a robust, scalable solution that met TikTok's stringent security requirements without compromising performance.