Akintunde Oladipo

Akintunde Oladipo

Software Engineer in Canada

About

Software engineer with 4+ years of experience across big data, machine learning research/operations and information retrieval (search and ranking). I operate at the intersection of distributed systems and machine learning and aim to solve problems at scale.

Currently, I do a lot of pre-training/adapting/fine-tuning language models for specific tasks or languages. Before this, I helped enterprises build and manage machine learning systems in on-premises and hybrid cloud environments.

Conference publications in EMNLP, SIGIR, & ACL covering large language models, multilingual NLP, and low-resource information retrieval. See Google Scholar

Contact

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2019 — 2023
San Francisco, USA

NanoDegrees covered:
- Machine Learning Engineer ND
- Machine Learning Engineer with Azure ND
- AWS Machine Learning Engineer ND
- Machine Learning DevOps ND
- Deep Learning ND
- Cloud Developer ND

2020 — 2021
Lagos, Nigeria

Tools:

  • Azure Machine Learning

  • Python / Java

  • Pyspark

2020 — 2020
London, United Kingdom
  • Compression of large language models through distillation and pruning.
2018 — 2020
Lagos, Nigeria

Tools:

  • Azure Machine Learning

  • Python

  • SQL

  • Spark MLlib

2024

Cross-Lingual Information Retrieval for African Languages (CIRAL) Track was first hosted at the Forum for Information Retrieval Evaluation (FIRE) 2023.

Side Projects

Ongoing
Hope '23: Understanding Twitter Trends Behind Nigeria's Elections at Ocean's Hive

Education

2022 — 2024
Waterloo, Canada

Courses:

  • Distributed Systems

  • Algorithm Design & Analysis

  • Requirements Engineering

  • Advanced Topics in Human-Computer Interaction: InfoVis for AI Explainability

  • Software Engineering for Big Data & AI

Thesis:

Scaling Pre-training Data and Language Models for African Languages

Papers:

  • Innovating in the Financial Industry: A Requirement Engineering Perspective

  • Distributed Systems for Scaling Foundation Models: A Critical Evaluation

  • Hope '23: Understanding Twitter Trends Behind Nigeria's Elections