Haris Riaz

Haris Riaz Email and Phone Number

CS PhD student @ University of Arizona | Ex-Applied Scientist Intern @ AWS AI Labs
Haris Riaz's Location
Arlington, Virginia, United States, United States
Haris Riaz's Contact Details

Haris Riaz work email

Haris Riaz personal email

n/a
About Haris Riaz

I'm a 2nd year Computer Science PhD student at the University of Arizona specializing in NLP/DL and its intersections with Cognitive Science. My main research interests lie towards enhancing compositional reasoning (and compositional generalization) capabilities within large language models (LLMs). I am currently working on methods that probe "outside the blackbox" i.e. expose models to "good" data and the "right kind" of data, that makes compositional knowledge explicit.I am also interested in "small" language models, especially neuro-symbolic and modular architectures, that are efficient, usable in "Zero Ground Truth" settings and easily adaptable to specialized domains.As evidenced by my experience with both academic research and industry internships, I'm eager to drive innovation and contribute to the frontiers of AI, LLMs and the programmatic creation of high quality datasets under settings of extremely light supervision/zero ground truth.

Haris Riaz's Current Company Details

CS PhD student @ University of Arizona | Ex-Applied Scientist Intern @ AWS AI Labs
Haris Riaz Work Experience Details
  • Amazon Web Services (Aws)
    Applied Scientist Intern
    Amazon Web Services (Aws) May 2024 - Sep 2024
    Herndon, Virginia, United States
    Applied Scientist Intern @ Amazon Bedrock Science Synthetic Data Team
  • Kaiser Permanente
    Data Science Intern
    Kaiser Permanente Jun 2023 - Aug 2023
    San Francisco, California, United States
    - Focused on the development of efficient NLP models for identifying social health indicators from clinical text, aiding in comprehensive patient health assessments.- Built a diverse labeled training dataset of 1 million+ provider notes using heuristic annotations, zero-shot learning with LLMs, human-in-the-loop active learning and multiple weak supervision strategies.- Used this dataset to train an NLP model that achieved over a 90% F1 score in expert evaluations, a state of the art in pinpointing key social determinants of health.- Deployed this model into production where it is currently capable of batch inference on millions of provider notes every month.- Gained hands-on experience with Hive, AzureML, Snorkel Flow/Snorkel AI, John Snow Labs’ NLP and Docker deployment.
  • University Of Arizona
    Graduate Research Assistant
    University Of Arizona May 2022 - Jun 2023
    Tucson, Arizona, United States
    Advisor: Mihai SurdeanuRA for the DARPA Habitus Project
  • Tukl-Nust R&D Center
    Undergraduate Research Assistant
    Tukl-Nust R&D Center Mar 2020 - Jun 2021
    Nust-Seecs
    Worked on my bachelor's thesis: "Handwritten Sequence Recognition with Time Series Transformers".Implemented a Time Series Transformer (TST) - a variant of the vanilla transformer architecture for handling multivariate time series data with modifications to the input embedding and positional encoding layers.Curated a dataset of sequences of IMU sensory data collected from a Myo-armband representing user arm movements corresponding to text-written In-Air. Trained an encoder-only transformer to achieve close to SOTA accuracy on In-Air handwritten character/digit level classification tasks.Experimented with an encoder-decoder version of the Time Series Transformer to reconstruct the full handwritten sequence from IMU sensory data.
  • Cern
    Machine Learning Intern
    Cern Aug 2020 - Dec 2020
    Geneva, Switzerland
    - Trained 3D U-Net regression models to predict fluctuations in space charge distortions inside a type of particle detector known as the Time Projection Chamber (TPC).- Developed a validation strategy for comparing different UNet model configurations in Tensorboard.- Enhanced the accuracy of the standard UNet model by incorporating parallel dilated convolutions andresidual connections, resulting in superior performance, particularly in terms of RMSE, during training oncoarse-grained input maps.
  • Cern
    Summer Student
    Cern Jun 2019 - Aug 2019
    Geneva, Switzerland
    - Internship with AliceO2 group supervised by Gian Michele Innocenti.- Worked on the binary classification of rare signal versus background in ultra-relativistic heavy-ion collisions, as part of an open source library used by the ALICE experiment.- Implemented and compared performances of XGBoost, Random Forest & Keras algorithms on large imbalanced datasets.- Implemented Bayesian search to speed up hyperparameter tuning of ML models by 5X, compared to grid search.

Haris Riaz Skills

Laravel C Node.js Mongodb Object Oriented Programming Keras Tensorflow Image Processing Cascading Style Sheets React.js Html Microsoft Office Java Php Javascript Computer Vision Express.js Pytorch Python Research React Native Machine Learning Mongoose Odm Mysql

Haris Riaz Education Details

Frequently Asked Questions about Haris Riaz

What is Haris Riaz's role at the current company?

Haris Riaz's current role is CS PhD student @ University of Arizona | Ex-Applied Scientist Intern @ AWS AI Labs.

What is Haris Riaz's email address?

Haris Riaz's email address is hr****@****ona.edu

What schools did Haris Riaz attend?

Haris Riaz attended University Of Arizona, National University Of Sciences And Technology (Nust).

What skills is Haris Riaz known for?

Haris Riaz has skills like Laravel, C, Node.js, Mongodb, Object Oriented Programming, Keras, Tensorflow, Image Processing, Cascading Style Sheets, React.js, Html, Microsoft Office.

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