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abi

Hi, my name is Abi. I am a computer scientist working extensively in machine learning to make the software systems smarter. Over the past seven years, my focus has been building machine learning systems for various applications including recommender systems, automated data labelling pipelines for both audio and video, audio-speech synthesis, forecasting and time-series analysis etc.

In the past, I also attended Insight as a Data Science Fellow and was a Visiting Research Scholar at UCLA under Dr. Judea Pearl where I worked in AutoML, MultiAgent Systems and Emotion Recognition.

✍️ I am also currently authoring LLMOps: Managing Large Language Models in Production book for O'Reilley Publications and an MLOps: Deploying ML models in production course with Educative for data scientists to learn fundamentals of data engineering and how to deploy machine learning models in production.

Publications

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence, Accepted for poster presentation at AAAI 2020

Problems & Challenges in AutoML, 2019

Top Tweets

Volunteering

  • October 2023 Invited Reviewer for NeurIPS Workshop: I (Still) Can't Believe It's Not Better

  • March 2023 Invited Reviewer | Fifth Symposium on Advances in Approximate Bayesian Inference (AABI 2023)

  • September 2022 Proposal Reviewer, PyData NYC

  • September 2021 Invited Reviewer for NeurIPS Workshop: I (Still) Can't Believe It's Not Better

  • August 2021 Research Mentorship | Association for Computational Linguistics

  • November 2018 Area Chair - AutoML | NeurIPS 2018

  • May 2018 - Sep 2018 Organising Committee Co-Chair, Pydata Los Angeles

  • Mar 2016 -Aug 2021 Director, Women Who Code Los Angeles

Upcoming Projects

  • 👩‍💻 Developing Autonomous Goal-Based Agents for Multi-Modal Data - BolkayAI
  • 📜 Research Paper, Cost Modelling for LLMs in enterprise (EMNLP 2023 Submission)
  • 📝 Article, LLM Evaluation: A Moving Target (currently in review)
  • 📝 Article, To Prompt or Not (currently in review)

Social Calendar

Past

Past

2023

2022

2021

  • March: Delivered a workshop on Full Stack Deep Learning at Women Who Code Los Angeles
  • Hundred other Women Who Code London, LA, SF, NYC events through 2016 - 2021 that I don't remember at the moment, ha!

2020

  • August: Presented a technical workshop on Natural Language Processing (NLP) Hands On! at MLNerdie Los Angeles

2018

Upcoming

June 2023

  • June 15 - Moderating the panel on LLM Evaluations at LLMs in Production Conference II by MLOps.Community

July 2023

  • July 6 - Talking about Fune-Tuning for LLMs at What's the BUZZ? with Andreas Welsch
  • July 7 - Talking about Data and MLOps at Women in Data Podcast
  • July 7 - Presenting our research paper on Cost Modelling for LLMs at LLM Projects Workshop