Wordcab
Wordcab summarizes business meetings using the latest in abstractive neural summarization tech.
I'm working with Aleks (CEO) to build topic-based
summarization, a highly-demanded but technologically challenging feature.
Carnegie Mellon University — NeuLab
Are big language models just learning co-occurence statistics, or can they capture compositional relations as encoded by semantic formalisms?
We applied graph algorithms to Abstract Meaning Representation to create a task that probes compositional ability. I presented our work at the 2021 SCS Research Fair.
Vizerto
Vizerto is an enterprise digital assistant that makes domain-specific knowledge easily available to B2B sellers.
I advise their ML team on novel approaches to information retrieval, graphical knowledge representations, and more.
Natural Language & Dialogue Systems Lab
Our conversational socialbot interacted with thousands of Amazon Alexa users every day, maintaining the top average user rating for 2 months straight against teams from Stanford, USC, and more.
My work on user modeling and entity graphs was included in our paper accepted at EMNLP 2021.
SapientX
SapientX builds white label intelligent voice assistants for cars, phones, fridges, and stores.
I fine-tuned state-of-the-art models for extractive question answering to give Tele the ability to answer domain-specific user queries from large, unorganized document corpora.
Language, Logic, & Cognition Lab
Can deep reinforcement learning model how humans learn to parse syntax trees from experience?
We built a family of cognitively realistic parsing environments to explore how novel neural architectures & RL algorithms could inform psycholinguistic theory. Our work was accepted at NeurIPS 2021 Deep RL workshop.
Microsoft AI
The AI Platforms team at Microsoft deploys bleeding-edge work from Microsoft Research to Azure for enterprise customers.
I'll be in Seattle this summer working on ML & NLP at the intersection of research and industry on the AI Platforms team.
Intheon
Intheon builds neural data processing infrastructure used by labs across the world to simplify their brainwave analysis pipelines.
I undertook NSF-funded research to investigate how language models could aid brain-computer interfaces in assisting users.
Applied Machine Learning Lab
The AMLL lab applies novel ML research to social good issues primarily in psychology and neuroscience.
Our work used hierarchical document representations to identify mental illness in social media discussions and quantify covid's diachronic effects.
Bunch Inc
Bunch builds enterprise-grade video & computer vision software while exploring related high risk-reward projects.
I deployed tensorflow.js pose detection models client-side for a project virtualizing expensive gym equipment.
