CGPA: 3.91
Muhammad Alif Asyraf Mohd Azlan
Machine Learning Enthusiast
Intelligent Systems Engineering undergrad and Maybank Scholar. Specialized in gradient boosting models, predictive analytics, and building scalable AI solutions.
Projects
Projects & Portfolio
FLEXPERT — AI Fitness Coach
A rule-based expert system with a gym-themed interface that delivers personalized workout plans from 7 user inputs. Built a forward-chaining inference engine across 50+ exercises, a priority-based rule hierarchy that overrides fitness goals for safety, and integrated Google Gemini API for conversational follow-up support.
PROSCALE — Intelligent Autoscaling
A Fuzzy Logic Control System managing cloud server scaling across 4 real-time metrics (Traffic, CPU, RAM, Latency) with 36 heuristic rules. Features a forward-chaining inference engine with CoA defuzzification, a Rule Priority Matrix to prevent flapping, and an interactive dashboard with custom canvas plotters for live membership function visualization.
NoteLah
Personal Task and Notes Tracking App with Hybrid RAG and AI Agent
BioGuard
Computer Vision App to Identify Specific Invasive Plants and Connect Photo Reports to Ecological Review, Work Orders, and Restoration Follow-Up
ScopePay
ScopePay uses AI to identify out-of-scope client requests, estimate extra work, calculate fees, collect PayPal payments, and update Bryntum Gantt timelines.
DapurPlan
Machine Learning based demand forecasting, inventory management and purchase planning for small restaurants.
Skills
Skills & Proficiencies
Certifications
Credentials & Achievements