Building production-grade Computer Vision and Generative AI systems for manufacturing, surveillance, and enterprise applications.
AI Engineer with hands-on experience building production-grade computer vision and generative AI systems for manufacturing, surveillance, and enterprise applications.
Specialized in end-to-end ML pipelines, real-time inference, and deployment using Python, PyTorch, Flask, and Docker. Experienced in consulting environments and cross-functional collaboration with international teams.
Graduated with Honors from President University with a Bachelor of Information Technology (Computer Science — Artificial Intelligence), completing the degree in just 3 years with a GPA of 3.78/4.00.

AI Solutions & Consulting Company
Led the development of an automated manufacturing defect detection pipeline using HRNet & Anomalib PatchCore, delivering low-latency inference (50–100 ms) for production use.
Integrated computer vision outputs with backend systems and GPT-4-based analysis to support quality control and packaging validation workflows.
AI-Powered EdTech Platform
Developed bilingual GPT-4 chatbot with MongoDB integration (4 collections) and Node.js-Python service bridge for MindVerse platform.
Built automated AI-driven workflows for meeting analysis and communication, generating agendas and email invitations to streamline collaboration processes.
IT Solutions & Cybersecurity Company
Engineered a real-time multi-camera computer vision system for traffic and crowd analysis using YOLOv8 and HRNet, achieving stable 20–30 FPS under latency constraints.
Built end-to-end ML and backend workflows, including model fine-tuning, RESTful APIs, and monitoring dashboards to operationalize surveillance analytics.
Bachelor of Information Technology
Graduated with Honors — Completed Computer Science AI degree in 3 years with a GPA of 3.78/4.00. Received Rank 3 (70%) Jababeka Scholarship.
Real-time multi-camera computer vision system for traffic and crowd analysis using YOLOv8 and HRNet, achieving stable 20–30 FPS performance.
Automated manufacturing defect detection pipeline using HRNet & Anomalib PatchCore, delivering low-latency inference (50–100 ms) with GPT-4 analysis integration.
RAG-powered chatbot using LangChain and ChromaDB for Indonesian NLP with automated inventory management and e-commerce features.
Bilingual GPT-4 chatbot with MongoDB integration and Node.js-Python service bridge. Automated AI-driven workflows for meeting analysis and communication.
Explore 4 different AI models from 3 countries, each specialized for a unique task. Built with Vercel AI SDK.
General AI assistant — ask about Fitra's background, skills, and projects.
Interested in collaborating or have a project in mind? I'm always open to discussing new opportunities in AI and Machine Learning.
Send me an email and let's discuss how I can contribute to your next project.
Send Email