Farel Rakha
Dzakwan

AI Engineer & AI Researcher

Building intelligent systems through machine learning, computer vision, signal processing, and applied AI research.

Research-driven. Data-informed. Built for real-world applications.

Farel Rakha Dzakwan
Universitas Brawijaya
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GPA / 4.00
0
AI & Research Projects
0
Certifications Earned
0
Registered HAKI
IEEE FEST
✦ MACHINE LEARNING ✦ COMPUTER VISION ✦ EEG SIGNAL PROCESSING ✦ LARGE LANGUAGE MODELS ✦ MLOPS ✦ PROBABILISTIC MODELING ✦ INDUSTRIAL AI ✦ GMM-HMM ✦ NEURAL NETWORKS ✦ MACHINE LEARNING ✦ COMPUTER VISION ✦ EEG SIGNAL PROCESSING ✦ LARGE LANGUAGE MODELS ✦ MLOPS ✦ PROBABILISTIC MODELING ✦ INDUSTRIAL AI ✦ GMM-HMM ✦ NEURAL NETWORKS
Who I Am

Artificial Intelligence Engineer and AI Researcher, recently graduated in Informatics Engineering from Universitas Brawijaya with a cumulative GPA of 3.73 / 4.00. Driven by rigorous AI research, national competition achievements, and real-world engineering applications.

My experience spans applied AI research, machine learning, deep learning, computer vision, EEG signal processing, NLP, data analysis, optimization, and intelligent application development.

Projects range from probabilistic EEG representation learning to real-time crowd counting, industrial fatigue detection, and semantic job recommendation systems.

1st Place — IEEE FEST Research Plan
Registered HAKI — Kemenkumham RI
Top 10 National AI Talent Program
15+ Professional Certifications
Interactive Research → Engineering Pipeline
STEP 01

Problem Definition

Scoping domain challenges, formulating research hypotheses, and defining target metrics (Accuracy, BIC, Silhouette).

Tools: Hypothesis Testing · Literature Review
Featured Work

Selected projects spanning AI research, computer vision, NLP, and intelligent systems.

Research Project

Real-Time Crowd Counting Using YOLOv8 for Jatim Park

Real-time crowd detection and counting system for estimating visitor density from surveillance video streams.

Computer Vision YOLOv8 Object Detection
Aug 2025 – Jun 2026 Real-time Detection
Research Project

Operator Fatigue Detection Using Computer Vision for PLTU Paiton

Automated CV system to identify visual indicators of operator fatigue and drowsiness in industrial environments.

Computer Vision Deep Learning Industrial AI
Jun 2026 · Occupational Safety Industrial Monitoring
Capstone Project

ScanCV: Web-Based Job Recommendation System

Job recommendation platform matching seekers with positions based on CV information using BAAI General Embedding.

NLP Semantic Matching Machine Learning
Feb – Jun 2025 · 70+ users 84% Accuracy
Competition Project · 🥇 1st Place

IoT-Based Tobacco Dust Control System with Personal Safety Tags

IoT monitoring and warning system for occupational exposure to tobacco dust using Neuro-Fuzzy inference.

Industrial IoT Edge Computing Neuro-Fuzzy
IEEE FEST — UB 1st Place + Best Poster
Research Internship

Pseudo-Labeling of Prefrontal Cortex EEG Signals

Clustering-to-classification pipeline for pseudo-labeling EEG signal representations using K-Means and GMM.

Semi-Supervised EEG K-Means
Feb – Jun 2025 97.18% (K-Means+SVM)
Professional Journey

Laboratory leadership, research internships, and technical training delivery.

August 2025 – December 2025

Coordinator Laboratory Assistant — Neural Networks Course

Universitas Brawijaya
  • Coordinated 14 laboratory assistants across 7 classes
  • Standardized lab workflows and practical examinations
  • Coordinated real-time issue resolution during sessions
~30% improvement in readiness · ~25% reduction in troubleshooting
February 2025 – June 2025

Researcher — Laboratory Enhanced Learning Internship

Universitas Brawijaya
  • Pseudo-labeling of prefrontal cortex EEG signals
  • Applied K-Means, GMM, SVM, Decision Tree, KNN
97.18% with K-Means + SVM
February 2025 – June 2025

Laboratory Assistant — Advanced AI Course

Universitas Brawijaya
  • Prepared datasets and Python demonstrations for 39 practicians
  • Maintained reproducible notebooks and benchmarked ML models
~30% reduction in troubleshooting time
May 2024 – October 2024

Module Maker

BKPSDM Kabupaten Malang
  • Developed 10+ application modules with structured user guides
  • Delivered training sessions and application simulations
~30% reduction in inquiries · 20+ employees trained · 95% completion
Technical Toolkit

Core competencies across AI research, engineering, and development.

Machine Learning

Scikit-learn Supervised Unsupervised Semi-Supervised Classification Clustering Predictive Modeling

Deep Learning

PyTorch ANN CNN RNN LSTM

Computer Vision

YOLO / YOLOv8 OpenCV Object Detection Crowd Counting Facial Landmark

Signal Processing

EEG Processing Welch PSD Bandpower GMM-HMM Temporal Modeling

NLP & Generative AI

Text Mining Sentiment Analysis Semantic Matching LLMs RAG AI Agents Prompt Engineering

Development & Cloud

Python FastAPI Docker Git Linux Alibaba Cloud Google Colab
Awards & Certifications
✦ Top Achievement

1st Place — IEEE FEST

Research Plan Competition
IEEE Student Branch UB · Sep 2025

✦ Registered IP ↗

HAKI — Intellectual Property

Rancang Bangun Aplikasi Peringatan Stres Kerja
Kemenkumham RI · Jun 2026

Alibaba Cloud

Top 10 — National AI Program

AI Talent Development
Alibaba Cloud · Oct 2025

Best Poster — IEEE FEST

Research Plan Poster
IEEE Student Branch UB · Sep 2025

Google

August 2026 – August 2027 · ID: 190907239

OpenAI OpenAI

August 2026

Trust Training Partners Trust Training Partners

March 2026 · ID: 26UBC03128311

IDEA-AI IDEA-AI

January 2026 · Expires Jan 2029

Universitas Brawijaya Universitas Brawijaya

November 2025
Brawijaya English Proficiency Test — Brawijaya Language Center

Alibaba Cloud Alibaba Cloud

October 2025
Alibaba Cloud Platform for AI
Dive Into Generative AI
Fundamentals of RAG and Agents
Getting to Know Generative AI
GPU-accelerated ECS
The Inner Workings of Generative AI
The Large World of Language Models
Model Studio Fundamentals
Prompt Engineering Fundamentals
Using Generative AI Responsibly

Dicoding Dicoding

October 2024
Belajar Dasar Visualisasi Data
Memulai Pemrograman dengan Python

Let's Build Intelligent Systems

Interested in AI research, machine learning, computer vision, data-driven systems, or intelligent applications? Let's connect.