I'm Alif Maulidanar, a final year student at Esa Unggul University, where I've been delving into the fascinating world of technology. My interest in tech, gadgets, and cars started early, leading me to constantly explore and learn. This journey has taught me to adapt swiftly and to always keep an open mind for new knowledge. Living in Jakarta, a city that moves at a brisk pace, I've come to appreciate the importance of time and the value of embracing opportunities that come my way.
I'm pursuing Informatics Engineering, with a keen interest in website and software development. My coding journey took off in college in 2020, starting with Pascal and C++. My strength lies in backend development, focusing on tasks like API creation, database integration, and server management. But I'm no stranger to frontend tasks either, especially when it comes to personal projects. I'm honing my skills in the JavaScript ecosystem, utilizing Express for backend development and React for frontend tasks. Beyond that, I'm expanding my horizons into the realms of Web 3.0 and blockchain, exploring smart contracts and Decentralized Applications (DApps) – because a programmer's learning journey never really ends.
Moving forward, I am committed to continuously enhancing my skills and knowledge. I understand that mastery and expertise require persistent effort and learning. With a belief in hard work and discipline, I am confident in my path towards a promising and fulfilling future in technology.
SymptoMed is a comprehensive mobile application designed to offer a wide array of health-related information. Its core functionalities include symptom identification for various diseases, provision of informative and educational content on daily health care, and facilitating access to information about nearby health care facilities. This app serves as an essential resource for users seeking reliable health information and services.
At SymptoMed, I am part of the Cloud Computing division, serving as a Backend Engineer. Within this dynamic team, I engage in a variety of backend and server development activities. My responsibilities include API development for each feature of SymptoMed, integrating with Firebase Firestore database and Google Cloud Storage, and deploying backend servers using Google App Engine, which are connected to many other services.
In my backend role, I have encountered several intriguing challenges. A notable task was the development of an API for managing a discussion forum platform, enabling seamless user interaction. To grasp the underlying logic of post and comment interactions, I drew inspiration from renowned forum-based applications like Stack Overflow and Facebook. The most effective solution I devised was a recursive function that efficiently manages the flow of comments, simulating the thread structure found in the aforementioned applications. This approach has successfully replicated some aspects of data retrieval and presentation seen in these models. Moving forward, my focus will shift towards optimizing server performance.
Bangkit Academy 2023, a Google-led certification program on the Kampus Merdeka platform, aims to enhance student skills in collaboration with GoTo, Traveloka, and the Deeptech Foundation, supported by Indonesia's Ministry of Education, Culture, Research, and Technology and partners.
Bangkit Academy provides three learning paths for students: Cloud Computing, Machine Learning, and Mobile Development. I seized the opportunity to participate, choosing the Cloud Computing learning path. This path equips participants to become Cloud Engineers, covering cloud computing basics, networking, website fundamentals, back-end coding, dev-ops insights, and Google Cloud Platform (GCP) utilization.
In Bangkit Academy, I enriched my skills, blending hard and soft skills like English, public speaking, and problem solving. The program offered deep insights through comprehensive modules, hands-on GCP labs, and expert mentorship. In the end of the program, I contributed to my team on Capstone Project which developed an Android app for disease prediction and medicine ordering called e-LABorate, focusing on backend development with ExpressJS and Python, integrated it with Firestore database, and deployed it on Google App Engine and Google Cloud Run, encapsulating the key experiences.
If you're keen on connecting and collaborating with me, don't hesitate to visit my social media below, or just shoot me a message directly through this form. I'm all ears and excited to hear from you!