Windsor Studio Website (2025)
You Can Check it out at: https://github.com/Farishanif/WindsorStudio
Building scalable web solutions with clean, modern code.
Hi — I'm Farishanif, a 25 year's old IT enthusiast and a curious guy. That's why I have a lot of basic IT experience in various fields and am kind of a jack of all trades. Currently I am trying to become a full-stack developer professionally focused on building performant web apps with clean architecture. I enjoy turning ideas into products and learning the right tool for the job.
Currently collaborating with some friend studio to create and develop website and games projects:
You Can Check it out at: https://github.com/Farishanif/WindsorStudio
Also best regards for the main contributor of the project Reylyer.You can check out their profile at: https://github.com/Reylyer
This is all of my work life experience that I record, so I can see and appreciate all of my hard work in my life. For my web developer specific resume, you can download it on the top.
I worked as an “IT Release Management” Department, which is a DevSecOps team on creating and maintaining company product pipeline, pod, and cluuster livelyhood. helping the team with requesting of other computing resource, discussing deployment strategies. While not getting access to some of the resources, I am still actively helping the team with some of the ticketing and Deployment processes. While, also learning a lot about the role of DevSecOps as a team.
My contributions were:
I am taking a side-job as a Design Graphic and helping a little bit of digital marketing setup in an online shop.
My contributions were:
Contributed to two distinct projects, demonstrating versatility and quick adaptation:
My contributions were:
I worked as a one “Tailor Made” Division Software Engineer team on creating and updating a company ERP Website template based on client request. Working with Agile methodology utilizing Kanban.
My contributions were:
My join project of me and my lecturer with PT Konekthing for creating a surveilance drone with mapping system and the automation pathing algorithm.
My contributions were:
During my internship at DDB Telkom as a 6th semester college students, I was actively involved as a Backend Engineer. Working with Agile methodology utilizing JIRA in the development of a two Courses Website that are interconnected.
My contributions were:
My first internship as a 1th semester college students, I was passively involved as a Backend Engineer. Working on a simple project of creating simple login and dashboard for a consultation website.
My contributions were:
Here are some of my achievements during my academic journey:
With the team of 3 members, where I act as the team leader and main programmer. We created a rice field detection system using the YOLO algorithm, that was integrated into a livestream video system utilizing 4G network communication that was connected to a drone system
You can check the end result at: https://github.com/Farishanif/RiceFieldDetection-DroneSystem.
With the team of 4 members, where i act as the main programmer and game designer. We created a 2D endless side-scrolling game using the Unity engine with C# programming language that was themed around nature.
You can check the end result at: https://github.com/Farishanif/Project-Revolt.
My Publications:
My research on testing the performance of programs and their network in a remote application running on a low-end resource device, The device in question is a Raspberry Pi 4. Equipped with a video streaming feature to Android and realized by using the WebSocket protocol to send livestream data.
Check it on: https://ieeexplore.ieee.org/abstract/document/9970093.
My research on testing the performance of my own designed livestream system that utilizes 4G network communication with the help of the WebSocket protocol to communicate in real time and is equipped with a rice disease classification system using the YOLO algorithm.
Check it on: https://www.joiv.org/index.php/joiv/article/view/1336.
My research on testing the performance of my own designed Light Convolutional Neural Network (LCNN) using rice seed sample with a range of the neural network variables that are being performed on a low-end device, which is a Raspberry Pi 4B.
Check it at: https://jurnal.nurulfikri.ac.id/index.php/jtt/article/view/443.
My research and my final campus assignment of designing my own multiple livestream video receiver web utilize WebSockets to receive livestream data from a Raspberry Pi 4 that has been compressed, encrypted, and has been going through machine learning.
Check it at: https://repository.pnj.ac.id/id/eprint/6846/.
Prefer email for job offers — Mail Me.
You can also find my work on