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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¶
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October 2023 Invited Reviewer for NeurIPS Workshop: I (Still) Can't Believe It's Not Better
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March 2023 Invited Reviewer | Fifth Symposium on Advances in Approximate Bayesian Inference (AABI 2023)
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September 2022 Proposal Reviewer, PyData NYC
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September 2021 Invited Reviewer for NeurIPS Workshop: I (Still) Can't Believe It's Not Better
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August 2021 Research Mentorship | Association for Computational Linguistics
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November 2018 Area Chair - AutoML | NeurIPS 2018
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May 2018 - Sep 2018 Organising Committee Co-Chair, Pydata Los Angeles
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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¶
- May 4 - Speaker at LLMs Demsytified Webinar with Chris Brousseau, Data Scientist at MasterCard
- April 26 - Speaker at Large Language Models in Production Twitter Spaces with Christine Yuen, Co-Founder and Head of Engineering at Shakudo.io, hosted by Sabrina Aquino
- Co-Host MLOps Community Podcast talking about
- Why is MLOps Hard in an Enterprise with Maria Vechtomova & Basak Eskili, Machine Learning Engineers at Ahold Delhaize
- Large Language Model at Scale with Nils Reimers, Director of Machine Learning at Cohere
- ML Scalability Challenges with Waleed Kadous, Head of Engineering at AnyScale
- AI and the Future of Database Optimization with Alex Debrie, Author of The DynamoDB Book
- Challenges of Deploying ML Models on Edge Devices with Jason McCampbell, Chief Architect at Wallaroo
- PeopleOps in MLOps with Shalabh Chaudri, Head of Customer Success, Union AI
- ML in Production with Jean-Michel Daignan, Data Scientist at Ubisoft
- Multilingual Programming with Rodolfo Núñez, Senior Machine Learning Engineer at Entel
2022¶
- Co-Host MLOps Community Podcast talking about
- Foundational models with Alex Ratner, Founder and CEO of Snorkel
- Managing Machine Learning Projects with Simon Thompson, Head of Data Science, GFT Technologies
- HCI for MLOps Infra Companies with Murtuza Shergadwala, Senior Data Scientist, Fidder.ai
- What is MLOps with Niklas Kühl, Managing Consultant for Data Science at IBM
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¶
- Delivered a workshop on A Hands-On Application of Causal Methods in Python at PyData Los Angeles
- Presented a talk on Big Problems at the Heart of Machine Learning at PyData Los Angeles
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