AI Engineer
KL · MALAYSIA
AI & software focus: intelligent systems, ML, DL, and data. Open to roles in AI, analytics, and development — with a drive for clear, practical solutions.
My name is Faris Aiman — AI & tech enthusiast.
Upcoming journal publication.
IAES International Journal of Artificial Intelligence
With an AI lecturer from Universitas Brawijaya and UiTM - IBDAAI (Institute for Big Data Analytics and Artificial Intelligence). Forthcoming in the journal above.
ForthcomingCertifications and structured learning — swipe or use arrows to browse all.
End-to-end AI work — from research and prototypes to production-style pipelines and shipped features. Each project reflects how I learn fast, own the stack, and deliver outcomes that matter.
CorelytixAI™ unifies Excel, IoT, ERP, PDF, and enterprise database data into a governed intelligence foundation—automating ingestion and change capture so organisations move from static reporting to real-time, insight-driven decisions. KPI dashboards, descriptive and predictive analytics, and AI recommendations for operational, tactical, and executive needs across manufacturing, supply chain, maritime, ESG, and enterprise—delivering measurable business value and ROI.
AI-assisted productivity intelligence for operations teams: unified signals across hybrid multicloud and on-prem, edge gateways for low-latency capture, and secure integrations (APIs, identity, observability). Adaptable to corporate, classroom, F&B, and other verticals with role-aware dashboards.
Full-stack operator inspired by OpenClaw.ai—React, Rust (Gin), Python, and Go; cloud and local AI APIs; Windows and Linux control; full CLI. Includes a browser control plane for the machine and running services: real-time service logs streamed in the UI and a per-service restart mechanism so you can recover or recycle workers without leaving the browser. Operator, step-by-step, semi-auto, and fully auto modes. Telegram bot agent and web admin panel planned.
Borevision — drilling rate of penetration (ROP) prediction using particle swarm optimization and gradient boosting regression, with interactive 3D visualization. Laravel, HTML, Three.js, and an API-driven stack; ML served through the same API layer.
Developed with a vision to redefine the seafood shopping experience for Malaysian wet markets, using YOLOv5 (You Only Look Once).
Expert system for dermatology and skincare—AI plus medical expertise to help identify skin conditions.
Personalized weight management web app powered by a fuzzy logic algorithm for adaptive guidance.
CNNs on satellite imagery—trained on 42,850 images with multiple experiment setups for wildfire prediction.
Flask API, TensorFlow.js, and ResNet for corrosion percentage prediction.
Mobile app illustrating neural network algorithms from Negnevitsky’s Introduction to Artificial Intelligence—Flask API and Flutter UI.
Private and client web work.
Private Project
Revamped IS-CARE system, improving how it manages data from different UiTM branches. Focused on making the data easier to understand by using advanced tools like PowerBI. I upgraded both the interface and backend to make things smoother for users and data processing.
Private Project
Led the development of UGC-TreeCaMUs, a UiTM Campus Mapping System using maps. My role involved managing maps related data efficiently using Google Maps, and OpenStreetMap. I handled both the backend and user interface to create a user-friendly experience.
Private Project
Developed a web app specifically for Engineering Faculty's inventory management. It handles instrument inventory, maintenance and borrowing. My focus was on creating user modules for enhanced security and efficiency within the system and improved the front-end interface.
Private Project
Enhancing the classroom system, with a special emphasis on updating the backend code to utilize the latest technology stack. My primary focus was on enhancing security and streamline system efficiency, alongside enhancing the front-end interface for improved user experience.
Private Project
Developed an Online Food Ordering web app specifically for Intan Food Court. It handles food ordering, checkout and table reservations. My focus was on enhanced security and efficiency within the system and enhancing the front-end interface for improved user experience.
Professional journey
Roles across AI stacks, full-stack delivery, and research engineering.
Designed, led, and implemented a scalable DevOps, DataOps, and MLOps pipeline with integrated AI capabilities. Data ingestion spans CSV and Excel, APIs, legacy systems, and IoT (sensors and gateways), with automated processing and actionable AI-driven insights.
Built an AI-based system to analyse emotion authenticity from facial micro-movements using facial recognition, machine learning, and real-time processing to improve detection accuracy.
Delivered a full-stack intranet booking system for scheduling, resource management, secure authentication, and dynamic dashboards.
Academic background
Completed a Bachelor's degree in Intelligent Systems Engineering, specializing in Artificial Intelligence, at UiTM Shah Alam.
Successfully completed a Diploma program in Computer Science at UiTM Segamat. The curriculum encompassed a comprehensive study of fundamental principles and practical applications within the field of computer science.
SPM: 8A 1B
Love Arts
AI-based development — languages, frameworks, and tooling.
Python-first stacks, pipelines, lakes, and visualization.
Full-stack, messaging, hosting, services, and payments.
Automation, observability, and edge integration.
Hugging Face & Altair RapidMiner are also used for models and analytics workflows.
Events and programs (2024).
Professional tools & utilities
