Backend Engineer & AI Researcher specializing in microservices, natural language processing, and intelligent systems
Get to know more about my background and expertise
An engineer primarily focused on backend development and artificial intelligence. Possessing 3 years of experience in developing backend and frontend systems, managing databases, and building/training AI models using various related technologies.
Contributed to scientific publications in the field of natural language processing at several international conferences. In 2023, achieved the distinction of best graduate from the Faculty of Computer Science and the Information Systems study program at Brawijaya University with a GPA of 3.95, and has received over 15 national and international awards.
My professional journey and key achievements
Ihsan Solusi Informatika, Bandung Indonesia
Contract-Based Remote
Ihsan Solusi Informatika, Bandung Indonesia
Contract-Based Remote
PACCMANN, Jakarta Indonesia
Part-Time Remote
Responsible for assisting students in learning web development. I was assigned to teach students about HTML, CSS, and Javascript. I also responsible for creating and grading assignments and exams.
My academic background and achievements
Universitas Brawijaya
Computer Science - Intelligent System (Natural Language Processing)
Thesis: Prefix-Tuned Encoder-Decoder Pretrained Model for Mitigating Low-Resource Domain Cases in Chatbot Development - Article Link
GPA: 3.65
Universitas Brawijaya
Computer Science - Information System
Thesis: Chatbot Development of Universitas Brawijaya Automation Service - Article Link
GPA: 3.95 - Best Graduate & Summa Cum Laude
Mathematics and Science
Tools and technologies I work with
Showcasing my projects and achievements
Implementing dashboard of Superstore dataset according to store KPI using Tableau. The content includes descriptive and predictive information such as sales prediction.
Development of RNN Based Chatbot for Indonesian Language. The Model achieved 0.00021 in Loss and 83% in BLEU Score.
API for Bank Account Business Process. Features include CRUD for Account and Check Mutation. Built using FastAPI, Docker, SQLAlchemy ORM.
Wesim is a point of sales web based application. Features include cashier, reporting, export to PDF, product management. Built using Laravel, Bootstrap, jQuery.
Recognition of excellence and achievements
Let's connect and discuss opportunities