About
Maihue Lake, ChileHello! I am a Machine Learning Research Engineer based in San Francisco, currently working at Google. My focus is on applications of Large Language Models.
Previously, I worked at MindsDB, a seed-stage VC-backed startup focused on easy ML deployment.
I completed my master's degree in computer science at PUC Chile's IA Lab. My main areas of research interest are LLMs, AutoML, cognitive robotics, and recommender systems.
During my engineering bachelor's degree at PUC Chile, I majored in robotics with a minor on software engineering. In the past, I've worked at CINI Software as a full stack engineer, and interned as a machine learning engineer at EY Chile Metric Arts's video analytics team.
In this website you can find links to projects I've worked on, as well as a blog where I'll post content on machine learning research, software engineering, and any other random stuff I may feel like posting :) Welcome!
Updates
[September 16th] Joined Google to work full-time as a Software Engineer on Machine Learning applications.
[July 10th] Our paper "WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting" has been accepted on CoLM 2024.
[January 17th] Our paper "Determining the efficacy of a machine learning model for measuring periodontal bone loss" has been published on BMC Oral Health.
[August 30th] Participated in ELC Annual 2023 conference as panelist on "Latest Developments in Applied AI - from Cutting Edge Models to MLOps Platforms and How to Use Them".
[June 1st] I gave a talk with Langchain's co-founder Harrison Chase on the topic of domain expert chatbots at the first ever MindsDB conference. YouTube recording here.
[September 21st] I gave a talk at DataTalks.Club on ML at the data layer. YouTube recording here.
[April 21st] With the MindsDB ML team, we've presented two posters on PyTorch Ecosystem Day 2021. One on uncertainty estimation, and one on SQL-based ML workflows, with a complementary talk/interview on YouTube.
[April 13th] Our IUI 2021 tutorial VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems is now live on YouTube (GitHub repo here).
[March 26th] Successfully defended my master's thesis, titled "Understanding natural language directions for robotic indoor navigation".
[August 19th] Our paper "CuratorNet: Visually-aware Recommendation of Art Images" has been accepted at ACM RecSys ComplexRec.
[July 13th] Joined MindsDB to work full-time as a Machine Learning Research Engineer.
[May 30th] Our paper "Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism" has been accepted at ACL WiNLP.
[March 5th] Website goes live!
