resume

Full Name    : Muhammad Farid Adilazuarda
Contact        : farid.adilazuarda@ed.ac.uk
Focus           : model memory, efficient inference, and evaluation for foundation models

I am a PhD student at the University of Edinburgh advised by Edoardo Ponti and Alexandra Birch. My work focuses on model memory, efficient inference, and evaluation for foundation models.

Culturally Grounded World-Model Evaluation (2026 - present)

• Developing a Google DeepMind-funded benchmark for evaluating culturally grounded video and world models.
• Focused on the intersection of cultural grounding, temporal continuation, and real-world event understanding.

Efficient Memory for Long-Context Inference (2026 - present)

• Studying adaptive memory compression for long-context foundation models.
• Focused on context retention, compression, and inference efficiency in long-context models.

PhD in Informatics

• University of Edinburgh, United Kingdom (current)
• Advised by Edoardo Ponti and Alexandra Birch.

Master of Science in System Intelligence

• Informatics ITB, Institut Teknologi Bandung, Indonesia (Aug 2022 - Oct 2023)

Bachelor of Science in Computer Science

• STEI ITB, Institut Teknologi Bandung, Indonesia (Aug 2018 - Jul 2022)

Research Assistant @ MBZUAI, Abu Dhabi (Nov 2023 - 2025)

• Advised by Alham Fikri Aji and Monojit Choudhury.
• Worked on cultural preservation, language modeling, and evaluation for low-resource Indonesian languages.
• Delivered a tutorial on Mixture-of-Experts in a postgraduate NLP course.
• Awarded a $30k Microsoft Research Grant for work on cultural understanding and evaluation in NLP.

Visiting Researcher @ UKP Lab, TU Darmstadt (2024)

• Worked on parameter-efficient modules and multilingual NLP.
• Supervised by Iryna Gurevych.

AI Team Lead and Venture Analyst @ Sevenpreneur (Jan 2023 - Aug 2023)

• Led a team of 4 AI engineers and analysts.
• Delivered data science consulting and venture analysis for Indonesian SMEs.

Research Assistant @ National Corruption Eradication Committee (KPK) (Jul 2022 - Dec 2022)

• Developed a machine learning model for gratification detection and anti-corruption analysis.
• Applied statistical analysis and text embedding methods to KPK public-reporting data.

Data Scientist @ Blibli.com (Jul 2021 - Aug 2021)

• Worked on seller, chat spam, fraud detection, and price anomaly detection.

• Conference Reviewer: ACL 2024/2025, NAACL 2024, EMNLP 2024/2025, COLM 2024, ACM COMPASS 2024
• Student Volunteer: AACL 2023

• Google DeepMind funding for Multicultural World Model Grounding Benchmark (2026)
  Funding to build a culturally grounded video/world-model benchmark and its data collection platform.

• Microsoft Research Grant for cultural understanding and NLP evaluation (2024)
  Awarded while working at MBZUAI.

• Semifinalist, DAC ITS Data Analytics Competition (Regional)
  Achieved 3rd place in the preliminary stage among 30 teams across Southeast Asia.

• Finalist, GEMASTIK 13 Data Mining Competition (National)
  Ranked in the top 20 out of 300+ teams from 113 colleges across Indonesia.

• Semifinalist, Kata Hack 2.0 AI Innovation Competition (National)
  Placed in the top 15 nationwide.

• Best Team, Software Engineering Academy COMPFEST 12 (National)
  Secured first place among all teams at the camp.

Technical        : Python, PyTorch, TypeScript, JavaScript, SQL, C++
Research         : efficient inference, KV-cache compression, model evaluation, multilingual NLP, culturally grounded evaluation
Languages      : Javanese, Indonesian, English (IELTS Academic: 8.0)
Interests         : Tennis, Football, Cooking