Ajibul Riski
Software Engineer (Backend & AI Integration)
I build intelligent, scalable, and robust applications that solve real-world problems. With a passion for backend development and AI integration, I create solutions that drive innovation and efficiency.
About Me
Hello! I'm Ajibul Riski, a Backend Developer with a deep-rooted passion for Artificial Intelligence. My journey started in Electrical and Computer Engineering at Syiah Kuala University, where I developed a strong foundation in hardware and systems.
Today, I focus on building intelligent, scalable backend systems. I specialize in leveraging Natural Language Processing (NLP) and Computer Vision to solve complex, real-world problems.
Whether it's architecting data pipelines for government agencies or developing predictive models for agricultural disease detection, I strive to bridge the gap between cutting-edge AI research and robust production applications.
Education
Syiah Kuala University
Banda Aceh, Indonesia
Bachelor of Engineering, GPA 3.52
Major in Electrical and Computer Engineering
2021 - 2026
Achievements
Silver Medal - IPIC 2025
International Product Innovation Competition (Hanoi, Vietnam)
View Certificate / CredentialFinalist - GEMASTIK XVI
National Student Creativity Competition in ICT (Brawijaya University)
View Certificate / Credential
Technical Expertise
A comprehensive toolkit designed for building intelligent, scalable, and robust applications.
AI & Machine Learning
Backend Development
Databases & DevOps
Frontend Stack
Experience
AI Engineer
- Engineered data pipelines for network traffic: Developed automated scripts to collect, clean, and extract high-value features from raw campus network logs for model training.
- Architected DRL models for zero-day detection: Built DQN, PPO, and A2C models to identify unprecedented network threats, with the DQN model achieving 0.9712 accuracy and 0.9189 AUC.
- Benchmarked real-world deployment viability: Validated model efficiency against hardware constraints, proving the DQN model maintains >3.7M samples/s throughput and <0.7 ms latency while using only 1350 MB RAM.
Artificial Intelligent Research Assistant
- Collected and merged network traffic data from Suricata and Argus using a coordinate attack approach to simulate real-world threat scenarios.
- Performed data cleaning, labeling, and preprocessing to prepare high-quality datasets for machine learning applications.
- Built and evaluated machine learning models for malicious traffic detection focusing on accuracy and efficiency.
- Developed and implemented a CI/CD pipeline to automate the detection and deployment of ML models in a production environment.
- Collaborated in an end-to-end research workflow covering data engineering, modeling, and system deployment.
Software Engineer
- Developed an end-to-end NLP analytics dashboard, which included automated scraping, backend development, and a frontend for data visualization.
- Designed and implemented an automated data pipeline, transforming manual news sorting into a fully system-driven process—enabling analysts to work 10× faster compared to manual workflows.
- Built the backend using FastAPI to serve machine learning models (IndoBERT and Bi-LSTM) to the Flask-based frontend interface.
- Successfully delivered the project lifecycle and presented the final BPS staff, receiving positive feedback for significantly improving efficiency in news analysis.
Machine Learning Student
- Completed a comprehensive 6-month machine learning curriculum covering data preprocessing, model training, and deployment.
- Get the opportunity to participate in a capstone project, applying learned skills to solve a real-world problem and presenting the solution to industry experts.
- Succesfuly complated the Google Tensorflow Developper Certificate exam.
The AI Lab
A showcase of my recent work in Artificial Intelligence, Computer Vision, and scalable backend architecture.
An AI-powered inventory management system designed for small businessses. Utilizes Popular AI models to manage stock levels, predict demand, and optimize ordering processes.
A full-stack web application leveraging AI to provide personalized cooking recipes based on available ingredients. Features a RESTful API with Flask, OpenAI GPT integration for recipe generation, and a responsive React.js interface.
Mobile application using Computer Vision to detect diseases in rice and chili leaves. Built and fine-tuned a MobileNetV2 model using a custom labeled dataset, served via a FastAPI RESTful backend.
AI-based system for flood disaster mitigation in high-risk areas. Developed an interactive data visualization dashboard integrating machine learning prediction models and deployed via Docker.
NLP News Analysis & Sentiment Dashboard
Jul 2024 - Aug 2024
End-to-end NLP analytics dashboard for BPS-Statistics Indonesia. Automated news scraping, achieved 94% classification accuracy with BERT, and visualized sentiment analysis.
Licenses & Certifications
Continuous learning and verified expertise in AI, Machine Learning, and Software Engineering.
Google TensorFlow Developer Certificate
TensorFlow / Google
2024
Demonstrated expertise in building and training machine learning models using TensorFlow, including computer vision and NLP.
TensorFlow Data and Deployment Certificate
Deeplearning.AI
2023
Proficiency in deploying machine learning models to production, optimizing performance, and managing data pipelines.
DeepLearning.AI TensorFlow Developer
Deeplearning.AI
2023
Comprehensive understanding of TensorFlow for deep learning, including model building, training, and deployment.
Mathematics for Machine Learning and Data Science Specialization
Coursera
2023
In-depth knowledge of mathematical foundations for machine learning, including linear algebra, calculus, and statistics.
Machine Learning Specialization by Andrew Ng
Coursera
2023
Comprehensive understanding of machine learning algorithms, including supervised and unsupervised learning, and practical implementation skills.
Using Python to Interact with the Operating System
2023
Practical skills in using Python to automate tasks and interact with the operating system, including file management and process control.
Crash Course on Python
2023
Comprehensive introduction to Python programming, covering syntax, data structures, and practical applications for automation and data analysis.
Let's Build Something Together
I am currently open to new opportunities, collaborations, and exciting projects in AI and Backend Development. Whether you have a question or just want to say hi, I'll try my best to get back to you!
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