Faris M.
Mid-Level AI Engineer
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About
Faris M. is a skilled AI Engineer and Researcher in Bogor/Jakarta, Indonesia, with extensive experience in the complete lifecycle management of large language models (LLMs). His expertise extends to RLHF/fine-tuning, red-teaming, and RAG system design, emphasizing a commitment to AI systems that are safe and reliable. At PT Trans Indonesia Superkoridor, he leads the development of an AI platform designed for a national fiber-optic operator, showcasing his proficiency in integrating Text2SQL multi-agent systems and LangGraph orchestration. Faris also contributes to smart contract security research, working on platforms like Sherlock and Code4rena, to identify vulnerabilities in blockchain smart contracts. His projects, such as the Antigravity RAG Evaluation System and multi-agent Text2SQL, reflect a dedication to advancing empirical machine learning practices. Currently, he applies his skills in AI governance frameworks, designing safe AI strategies, and enhancing data platforms under Indonesia's data sovereignty regulations. Faris is also engaged with iMerit Technology as a Master Consultant, where he strategizes and executes LLM deployments to align with client expectations.
Experience
Manager, AI Engineering
PT Trans Indonesia Superkoridor (TIS) · 2026 — PresentAs a founding hire, I am establishing the AI Engineering function at a 25,000+ km DWDM fiber backbone operator. This includes creating the team and developing the AI agent layer. I am responsible for designing a comprehensive medallion-architecture data platform utilizing ClickHouse, PostgreSQL, dbt-core, Airflow, and OpenMetadata. My role entails architecting a LangGraph multi-agent Text2SQL system over operational data and presenting my work to key stakeholders. I also lead infrastructure discovery for MySQL/MariaDB/Ubuntu systems to define the ETL migration strategy from legacy NMS sources while ensuring compliance with PP 71/2019 data-sovereignty regulations.Data Analyst (AI/BI)
PT Berlian Laju Tanker Tbk · 2024 — 2026In my role, I developed over 20 Power BI dashboards for various departments, including Technical, Safety, Operations, Finance, and Crew. My contributions involved engineering SQL/Oracle queries on Danaos ERP to efficiently consolidate data, thereby significantly reducing manual reporting efforts. I created vessel-level KPI dashboards for monitoring operational metrics and designed a crew appraisal application for a subsidiary.Master Consultant, AI Engineer
iMerit Technology · 2025 — PresentI manage end-to-end engagements in the LLM domain, covering problem definition, dataset strategy, evaluation, fine-tuning, and production deployment aligned with client SLAs. My tasks include designing fine-tuning pipelines tailored to specific tasks, using domain-labeled data, RLHF, and red-teaming workflows to enhance model performance. Collaboration with data-annotation and domain-expert teams is a key aspect, where I define guidelines and quality assurance processes to elevate training-data quality. I also assess LLM performance through quantitative and qualitative metrics and provide clients with guidance on RAG frameworks and AI governance.Lead Data Scientist
Toyota Research Institute · 2024 — 2024I led data science projects focused on healthcare and automotive research, applying machine learning algorithms through tools like scikit-learn and PyTorch. My work involved handling healthcare data compliant with HIPAA-equivalent standards and transforming research findings into actionable insights for stakeholders.Data Scientist
Telkom Indonesia · 2023 — 2024My responsibilities included defining and executing the AI strategy and product development roadmap for a leading telecom company in Indonesia. I worked on comprehensive data science projects spanning NLP and computer vision while managing stakeholder relationships and advocating for new AI products.Data Analyst Intern — Generasi Gigih 2.0
Yayasan Anak Bangsa Bisa · 2022 — 2022During my internship, I analyzed educational data to enhance learning outcomes across the West Java province, providing insights on data storage and business decision support.AI for Startup Intern
Orbit Future Academy · 2021 — 2022I completed a project titled 'Digital School', creating a face recognition application with functionalities for attendance automation, uniform detection, and real-time mood analysis. This involved applying computer vision, natural language processing, and machine learning techniques.
Skills & Expertise
Education
- Bachelor of Science in Computer ScienceUniversitas Pancasila · — — 2023