Recent Highlights

[Sep 2025] PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries was accepted at NeurIPS 2025, Datasets & Benchmarks Track.
[Sep 2025] Semantic Agreement Enables Efficient Open-Ended LLM Cascades was accepted at EMNLP 2025, Industry Track.
[Jul 2025] Agreement-Based Cascading for Efficient Inference was accepted at TMLR.
[Jun 2025] Our preprint, Training-Free Semantic Deferrals for Open-Ended LLM Cascades, was accepted into ES-FOMO, ICML.
[Jun 2025] Our preprint, Privacy Isn't Free: Benchmarking the Systems Cost of Privacy-Preserving ML, was accepted into ES-FOMO, ICML. Congrats to Emeka, Sam, Simi, and Ire (ML Collective folks)!
[Nov 2024] Our preprint, Extracting Parallelism from Large Language Model Queries, was accepted into AFM, NeurIPS.
[Jun 2024] Our preprint, Revisiting Cascaded Ensembles for Efficient Inference, was accepted into ES-FOMO, ICML.
[Apr 2024] Our preprint, What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models, was accepted into AfricaNLP, ICLR.
[Feb 2024] Preprint for Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes is now available on arXiv.
[Sep 2023] I made my SOP public on cs-sop.org. The platform may be useful for you if you are applying to grad school.
[Aug 2023] We are organizing a fundraiser for 21 African students to attend Deep Learning Indaba. Donate here.
[Jun 2023] I anchored workshops on the topic, "HuggingFace and You", at IndabaX Nigeria and later at OSCAFEST. Check my 150 slides here.
[Jun 2023] Our paper preprint, Vision Transformers for Mobile Applications: A Short Survey, is available on arXiv.
[Mar 2023] I will be spending the months up till my PhD resumption as a research intern at MBZUAI, Abu Dhabi. UPDATE: Canceled. Visa denied! :(
[Mar 2023] I have fulfilled all requirments for my BSc in Computer Science program at the Federal University of Agriculture Abeokuta. I am now a BSc graduate!
[Mar 2023] Our paper, Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages, was accepted into AfricaNLP '23 - collocated with ICLR '23.
[Feb 2023] I will be resuming PhD at CMU in the fall to work on Efficient ML.
[Oct 2022] I am invited to speak at Lanfrica Talks in November on my sign language understanding project. Hopefully, my last talk on this topic. :)
[Oct 2022] We have finally fulfilled the terms of our grant from the Algorand Foundation, and our project, ASAlytics (now Nazari), is finally ready for UAT.
[Oct 2022] I am invited to speak on my research journey as a URM and how I have been able to build my research collaborations as an independent researcher at NeurIPS 2022 Workshop on Broadening Research Collaborations in ML.
[Oct 2022] I gave the most hilarious talk of my life (to date) at DataFest Africa on the path to ML mastery. Check my slides here. EDIT: I am invited to present the same talk at DevFest Abeokuta in December.
[Oct 2022] Ernest talked on our project, ASAlytics (now Nazari), at DataFest Africa 2022 and on how folks can contribute to our open-source model. See slides here.
[Sep 2022] I will be speaking at Cohere For AI's Independent Research talk panel. EDIT: Check the video recording here.
[Sep 2022] I was interviewed by AIHub on my work on sign-to-speech.
[Aug 2022] Our work on African Sign Languages Translation is a winner of the Indaba Ideathon Challenge. Congrats, Shester and Mardiyyah!
[Aug 2022] I will be presenting my work on minimizing communication costs in decentralized federated learning using de-mutable torrents at the ML Efficiency workshop at the Indaba. See slides here.
[Aug 2022] I am organizing an ML Collective's family & friends dinner at Deep Learning Indaba. Come join us if you are in Tunisia and you've heard of MLC before!
[Aug 2022] I will present my work on Sign to Speech in sub-Saharan Africa at the "Research in Africa" Showcase Day at Deep Learning Indaba.
[Jul 2022] ML Collective is organizing a fundraiser for 9 young African researchers to attend Deep Learning Indaba. Donate here.
[Jul 2022] I will attend this year's Deep Learning Indaba.
[Jul 2022] Nayan and I are being interviewed by the UofT News on the Sign-to-Speech work.
[Jul 2022] I will be speaking at EuroPython Dublin on Prof. Colin Raffel's call to build models like we build OSS and the progress made in that direction. See slides here.
[Jun 2022] My year tenure as the Community Lead for the Google Developer Students Club on my campus is over. A huge shoutout to all my fantastic core team members!
[May 2022] I am spending two weeks in Europe and visiting Pycon Italia and speaking at Berlin Buzzwords while at it.
[Apr 2022] My publication on Sign Language Understanding has been accepted as a conference demo at IJCAI, AI for Social Good Track!
[Apr 2022] I will speak at PyConDE & Pydata Berlin on my sign-to-speech work. See the video recording here.
[Mar 2022] I won the AI Champion award at the Nigeria Computer Society's AI Summit held at Government House, Lafia, Nigeria, for my work on sign language understanding.
[Feb 2022] ASAlytics, our work proposal to build a real-time social media opinion-mining platform for digital assets, has been awarded a ~$115k grant by the Algorand Foundation.
[Nov 2021] I am resuming my final session in school as a CS undergrad.
[Oct 2021] I got a full-time role with RectLabs as an AI Research Engineer.
[Oct 2021] My work on Sign-to-Speech for sub-Saharan Africa has been accepted at the NeurIPS workshop on ML for the Developing World.
[Oct 2021] I am leaving my community role as the Campus Lead for AI+ FUNAAB as I resume the Community Lead role for my school's Google Developer Student Club.
[Oct 2021] My work on sign language understanding won the 2nd Best Poster Award at Data Science Nigeria's AI Bootcamp.
[Oct 2021] My research internship with SeqHub Analytics LLC is finally over.
[Jul 2021] My work on sign-to-speech for real-time usage won DeepQuest's AI Challenge.
[Jan 2021] I am leaving my community outreach role as the AI+ City Lead for AI+ Abeokuta.
[Nov 2020] AI+ Abeokuta won the "AI City of the Year" award; and I was the 1st runner-up to the Mr. Algorithm award at the DSN AI Bootcamp 2020.
[Aug 2020] I am speaking at PyCon Africa 2020 on the using Streamlit to build data apps.
[Feb 2020] I was one of the 7 finalists at the MaxNg X SeqHub's Ideathon for my work on HotUsers, a recommender system with geospatial data to predict hot zones for bikesharing riders in Lagos. Top 7 / 40 odd teams.
[Dec 2019] I won a gold medal at NaijaHacks 2019 for my work on AgroAI, a mobile app that helps farmers detect plant diseases offline, using computer vision. Top 12 / 336 teams.