Nafis Abrar

Nafis Abrar

Staff Research Scientist @ Meta MRS · Co-founder & CTO of Edutechs

Hi, I'm a Staff Research Scientist at Meta MRS. Founded Edutechs, where I serve as CTO. Previously ML @ University of British Columbia, BigScience / Hugging Face, Scotiabank, and BC Cancer Research Centre.

Outside of work, I've been playing guitar since I was ten and love reading about philosophy and history.

Timeline

2024 – Present
2 roles · Ranking & Recommendation Systems
Staff Research Scientist — Meta MRS
2026 – Present

Researching and building state-of-the-art models for content understanding, user understanding, retrieval, and ranking across Facebook, Instagram, and Threads, with a focus on LLM and agent-based modeling. Taking these from research to production while targeting long-horizon breakthroughs in recommendation systems rather than incremental tuning.

Staff ML Tech Lead — Ranking & Foundational AI
2024 – 2026

Developing SOTA ML models to predict user engagement, maximizing both user experience and advertiser value across all Meta Platforms.

2019 – Present
Co-founder & CTO

Founded Edutechs and led the engineering team, designing end-to-end roadmaps for batch and real-time ML systems and building distributed microservices for 30,000+ paid users. Raised multiple funding rounds from angel investors and VCs, recognized in HolonIQ's South Asia EdTech 100 (2022 & 2023), and selected for Accelerating Asia (top 10 from 600+ startups).

2021 – 2022
ML Researcher, Laboratory for Computational Intelligence

Research on LLMs for long-text classification under Dr. Kevin Leyton-Brown. Implemented distributed parallel training pipelines for LLaMA-2 (70B), Vicuna, and DeBERTa-v2. Experimented with gradual unfreezing, in-context learning (CoT, ToT, Self-Consistency), and QLoRA fine-tuning.

2021
BigScience Workshop · Co-authored BLOOM

Co-authored BLOOM: A 176B-Parameter Open-Access Multilingual Language Model, trained on 46 languages and 13 programming languages by a collaboration of 1,000+ researchers worldwide.

Jan 2019 – Aug 2019
Data Scientist, AI/ML Team

Built fraud detection ML model and engineered features for cheque fraud detection. Designed and delivered an end-to-end NLP system for customer consent monitoring.

Jan 2018 – Aug 2018
2019

Majored in Computer Science at UBC.