ACTIVE // AI ENGINEER & DATA SCIENTIST

Felix Windriyareksa Hardyan

Building production-grade AI systems, from Data Science to GenAI.

Felix Windriyareksa Hardyan standing beside NVIDIA DGX A100 and DGX-1 compute racks
2+ Yrs
AI/ML Experience
Industry & research lab track record
10+
AI Projects Built
GenAI, RAG, Vision & Predictive ML
BNSP
Certified Data Scientist
National professional certification

Featured Projects

AI systems, intelligent agents, and full-stack machine learning applications.

The Omnius dashboard scoring a news article against Entman's four framing pillars
AI Agents
Microsoft AzureLlama 3.3

Omnius: Automated Media Intelligence

A media intelligence platform that applies Robert Entman's (1993) framing theory to news articles using an autonomous Pydantic AI research agent and Llama 3.3 / Qwen3 analysis on Groq Cloud, deployed on Azure with a React frontend.

A histopathology slide beside its Grad-CAM heatmap, showing which tissue regions drove the classification
Computer Vision
HealthcareTensorFlow

LUCIAN: Lung Carcinoma Histopathology Imaging & Analysis

A lung cancer histopathology classification system built on a fine-tuned ConvNeXt-Base backbone (TensorFlow/Keras), achieving 93.67% test accuracy. Includes Grad-CAM explainability so clinicians can see which tissue regions drove each classification.

Open Source Contributions

Open-source work and contributions, updated in real time.

1,865 contributions in the last year
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Experience & Education

Professional engineering roles, applied AI research, and academic milestones.

Work Experience[ 04 ROLES ]
June 2026 – Present
IT Intern (ML & Data Science)
PT Astra Visteon Indonesia
  • Developed a data-driven monitoring system for industrial air compressors, analyzing 150K+ operational records to identify maintenance-critical conditions and support earlier intervention.
  • Introduced the company's first AI-based predictive maintenance system, improving maintenance-critical event detection recall from 0% to 60% through feature engineering and recall-focused model optimization.
  • Built an end-to-end monitoring pipeline with Python, SQL, and FastAPI, enabling real-time anomaly detection, automated alerts, and live operational monitoring.
Sept 2024 – Present
AI Engineer (Part-time)
HPC Universitas Gunadarma (HPC-UG)
  • Built a production-ready AI laboratory assistant that helps students troubleshoot laboratory systems and programming issues using a fine-tuned Qwen3-8B model and Retrieval-Augmented Generation (RAG).
  • Published peer-reviewed research applying deep learning (CoralNet, InceptionV3, MobileNetV2) to automate coral bleaching detection, achieving 89% accuracy to support marine biodiversity monitoring.
  • Deployed distributed AI workloads on NVIDIA DGX-1 and DGX A100 with infrastructure teams using Docker.
Feb 2025 – Aug 2025
International AI Summer Course Instructor
Universitas Gunadarma
  • Delivered hands-on training on Generative AI, NLP, and LLM applications to international students and academic faculty, bridging AI theory with practical implementation workflows.
  • Guided participants in architecting end-to-end GenAI applications, covering NLP basics, LLM integration, prompt engineering, and production-ready system design.
Jun 2025 – Jun 2026
Data Science Instructor
Lembaga Pengembangan Komputerisasi Universitas Gunadarma (LePKom)
  • Mentored and assessed 200+ participants building end-to-end ML solutions, from data preprocessing through model deployment.
  • Developed practical AI/ML learning modules based on real-world engineering scenarios, emphasizing reproducible experimentation and production-oriented development.
  • Led technical reviews for participant projects: code review, debugging support, and system architecture recommendations.
Education[ 02 ACADEMIC ]
Sept 2021 – Aug 2025
Bachelor of Informatics
Universitas Gunadarma
GPA: 3.85 / 4.00

Studied computer science while actively building AI systems, publishing research, and teaching data science.

Feb 2024 – July 2024
Machine Learning Specialization
Bangkit Academy
Graduated with Distinction

Graduated with Distinction from Google-led ML program covering Deep Learning, Computer Vision, and NLP. Built CrashSnap as capstone, a YOLOv8-based vehicle damage detection system for automated visual inspection and damage assessment.

Skills & Capabilities

Core concepts, frameworks, and infrastructure I work with across the AI engineering lifecycle.

AI & Machine Learning
Advanced RAGAI AgentsDeep LearningComputer VisionNatural Language ProcessingLLMs & GenAIPrompt EngineeringPEFT & QLoRAAnomaly Detection
ML Frameworks & Libraries
PyTorchTensorFlowscikit-learnLangChainPydantic AILlamaIndex & LlamaParseQdrantFAISSHugging Face
Languages & Backend
PythonSQLTypeScriptFastAPIPandasNumPyREST APIsReactGit & GitHub
Cloud & MLOps
DockerMicrosoft AzureGoogle Cloud (GCP)MLOps PipelinesCI/CDNVIDIA DGX Systems

Research & Certifications

Academic publications and certifications in AI, machine learning, and data science.

Available for opportunities

Let's build something together.

Feel free to reach out for full-time engineering roles, AI consulting, or casual technical discussions.