Hi!👋 I'm Isaac.​

My focus is on making AI systems scalable and maintainable. Currently I'm leading an effort in using Small Language Models for low resource on-prem RAG.

At Clarifai, I've helped build and maintain multimodal retrieval systems in production. Previously, I led custom enterprise solution development for visual search, built multi-modal retrieval systems, and helped maintain ML inference systems for LLMs and computer vision models. I have spoken at various Python, ML conferences, and meet ups in Europe. My stack includes Python, Docker, Kubernetes, PostgreSQL, and Go.

My background is in Aerospace Engineering and Machine Learning and I hold undergraduate (B.A.Sc in EngSci) and graduate (M.A.Sc) degrees from the University of Toronto.

I work remotely in Europe, currently based in Tallinn, Estonia. In my spare time, I try to contribute to open source projects (e.g. MTEB), see the world, and do a bit of swim/bike/run racing.

Talks, Conferences, and Papers​

• (Upcoming!) 2024 Data Makers Fest (Porto, Portugal): Prototype to Production for RAG applications
• 2024 PyCon PL (Gliwice, Poland): Transcend the Knowledge Barriers in RAG | Slides
• 2024 PyCon LT (Vilnius, Lithuania): Speed up open source LLM-serving with llama-cpp-python | Video | Slides | Github
• 2024 PyCon LT (Vilnius, Lithuania): Transcend the Knowledge Barriers in RAG | Video | Slides
• 2023 TD Lab Live AI Talk (Remote): Beyond Llama2: Future Trends and Challenges with LLMs | Video | Slides
• 2023 EstoniAI Meetup Vol. 5 (Tallinn, Estonia): Panel Discussion on Recap AI developments and future trends
• 2023 Preprint: Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand Safety
• 2022 ECIR Industry Day (Stavanger, Norway): Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application. Talk not recorded.
• 2021 Clarifai Perceive Conference (Remote): Automating Data Labeling for Deep Learning - AI-Automated Data Labeling | Video

Projects​

• Organizer @ PyData Tallinn
• Maintainer @ Massive Text Embedding Benchmark (MTEB)
• Strava Kudos Bot: https://github.com/isaac-chung/strava-kudos
• Open source contributions, such as
  • haystack
  • transformers
  • llama-index
  • auto-sklearn

Blogs​

• I log my learnings on Generative AI/ML in a blog and try to keep it within a 3-5min read
• I have also written a few blogs for Clarifai.
  • Here are a few recent examples:

    • Supercharge your LLM via Retrieval Augmented Fine-tuning
    • The Landscape of Multimodal Evaluation Benchmarks
    • Do LLMs Reign Supreme In Few-Shot NER? Part III
    • Do LLMs Reign Supreme In Few-Shot NER? Part II
    • Do LLMs Reign Supreme In Few-Shot NER?
    • Multi-modal Moderation
    • A Comprehensive Guide To Vector Search

Consulting​

I'm open to provide consulting services in ML/AI. Send me an email, or reach out over LinkedIn.