Machine Learning EngineerJakarta, Indonesia

Muhammad Al Thariq Fairuz

I'm an Informatics Engineering graduate (cum laude) from Institut Teknologi Bandung, working as an AI Engineer at Juxtalabs and a Research Assistant at ITB. I build machine learning systems across the full lifecycle, from reinforcement learning research presented at IEEE ICAICTA 2026 to AI products shipped in production.

2
Publications & IP
4
Competition awards
2+
Years of experience
Muhammad Al Thariq Fairuz
Publications

Research & Publications

Peer-reviewed research and registered intellectual property

  1. Conference Paper

    Multi-Agent Reinforcement Learning for Portfolio Management on the Indonesia Stock Exchange: A Microstructure-Aware Ablation Study

    Oct 2026

    A multi-agent reinforcement learning system for portfolio management on the Indonesia Stock Exchange, trained and evaluated inside a market simulator that models real IDX trading rules. Developed from my undergraduate thesis.

  2. Software Copyright

    RestoraX

    Oct 2026

    Computer vision models that detect and classify road damage from satellite and aerial imagery, supporting post-disaster road network restoration planning.

Experience

Recent Experience

Where I've applied machine learning in industry and research

  1. Juxtalabs

    AI Engineer

    Apr 2026 — Present

    Deployed as part of a 3-person engineering team to optimize Bank Mega's telemarketing QC platform, building an automated system to assess and score sales agents' performance.

  2. Institut Teknologi Bandung

    Research Assistant

    Apr 2026 — Present

    Developed computer vision models to detect and classify road damage in satellite and aerial imagery for post-disaster road network restoration planning, in collaboration with civil engineering researchers at ITB and ITERA.

  3. PT Bati Investasi Teknologi

    AI Software Engineer

    Oct 2025 — Jan 2026

    Collaborated with the engineering team to develop and maintain scalable software solutions with high code quality and performance. Architected and developed a RAG chatbot to enhance data retrieval capabilities.

Awards

Recent Awards

Recognition from national and international competitions

  1. HACKaSTONE 2026

    Finalist

    Oct 2026

    Built an agentic AI learning platform for deaf and hard-of-hearing learners, with real-time sign-language scoring, a two-way sign/speech translation bridge with a 3D signing avatar, and AI-generated accessible lessons and quizzes. Selected for the final round in Amsterdam.

  2. Gunadarma Code Week 2026

    1st Place

    Jun 2026

    Developed Tukangin, an AI-powered home service platform that connects customers with trusted skilled workers for home repair and maintenance.

Contact

Let's work together

Open to research and industry roles where machine learning solves meaningful, data-driven problems