Ermiya Eskandary is a senior engineering leader with 10 years’ experience building cloud-native systems and leading teams across .NET, Java, Azure, GCP and AWS. Currently a Senior Manager at PwC UK, he combines hands-on development with architecture and delivery oversight, having previously driven platform and observability work at BJSS and e‑commerce/cloud solutions at AO and AXA. He holds multiple cloud and Terraform certifications and has a pragmatic focus on eliminating unnecessary complexity—avoiding wasted code and provisioning. An active open-source contributor, he has applied his backend and full‑stack skills to community projects like Instagram automation and game bots, often improving clarity, fixes and user experience rather than reinventing components. Based in Manchester, he’s known for turning complex, enterprise requirements into maintainable, auditable solutions while mentoring teams to do the same.
The aim of the project is to create a bot that can play Agar.io
Role in this project:
Full-stack Developer
Contributions:30 commits, 38 PRs, 32 pushes in 10 days
Contributions summary:Ermiya primarily contributed to the development of an Agar.io bot, modifying both the launcher and bot user scripts. They fixed connection issues by updating the initialisation key and implemented a merge timer functionality. Further work included removing ads, fixing bugs, and updating to the latest version from agar.io, demonstrating a focus on maintaining and improving the bot's functionality and user experience.
🐙 Free scripts, bots and Python API wrapper. Get free followers with our auto like, auto follow and other scripts!
Role in this project:
Back-end Developer
Contributions:9 commits, 4 PRs, 5 pushes in 16 days
Contributions summary:Ermiya primarily focused on enhancing the functionality and clarity of example scripts within the instabot project. Their contributions include clarifying console outputs, fixing language errors in documentation, and adding a new example script to like recent media likers. The changes primarily involve modifying existing scripts, adding usage examples, and improving code comments. The user demonstrates proficiency in modifying and adapting existing Python scripts related to Instagram automation.
apipythonapi-wrapperfollowbot
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.