This is Reza 👋
I am currently a PhD student at Mila and Concordia University
I am interested in Natural Language Processing and Computer Vision and their industrial applications.
Currently, my research is focused on the study of continual, federated, and self-supervised learning.
I am interested in both the theoretical and applied studies of these domains.
I document my learning notes in this blog. Send me an email:
davari.mreza@gmail.com if you have questions or find
any errors. Thank you 😊
Skills
Career
Jun 2024 - Aug 2024 Applied Scientist Intern @ Microsoft
- Developed a novel method for system prompt migration and optimization, achieving SOTA on multiple NLP benchmarks
- Implemented automatic LLM-based metric creation and metric evaluation given a target feature
- Observed product lift for prompt migration, reducing manual migration time
Nov 2023 - May 2024 Data Scientist @ Concordia Applied AI Institute
- Developed and helped deploy an NLP solution using BERT to automatically populate evaluation forms of long complex legal government contracts
- Implemented content highlighting to help users verify the context used by the model to reach a decision for each evaluation criterion
- Contributed to scoping new projects and writing NLP project proposals for new clients and feature requests
Mar 2023 - Oct 2023 Data Scientist @ Eiffel MedTech
- Developed an EOS X-ray image processing pipeline for 3D lower limb point cloud reconstruction, including bone and prosthetic segmentation
- Implemented fine-tuned Segment Anything Model (SAM) with manually labelled data for precise segmentation
- Created a Transformer-based neural network for 3D bone reconstruction from DRR and CT scan pairs. Deployed the pipeline on local servers for practical use
Jun 2022 - Sep 2022 Applied Research Scientist Intern @ Amazon (Science)
- Developed a novel method based on contrastive learning and self-prediction to learn universal user embeddings
- Applied the proposed user embedding to in-production downstream tasks and observed boost in performance
- The results were published in AMLC (Amazon internal Machine Learning Conference)
Sep 2021 - Feb 2022 ML Technical Support Specialist @ Ericsson
- Led the ML technical support of three projects: customer service chatbot, Python code completion, and sensitive log detection
- Carried out a series of NLP tutorials on the industrial applications of large scale language models
- Conducted workshops on data ingestion, processing, and visualisation
Sep 2021 - Feb 2022 Data Scientist Intern @ Ubisoft Divertissements Inc.
- Implemented hierarchical span-based toxicity detection model on in-game chat data
- Collaborated on implementing data annotation procedures
Sep 2020 - Jun 2021 ML Team Lead @ Coveo Solutions Inc.
- Led a group of 5 ML Scientist and Engineers on several NLP projects
- Collaborated with the product managers to plan road maps and communicate with customers/stakeholders
- Researched and implemented multi-task learning models to improve information flow between tasks and reduce resource consumption
- Researched and implemented an extractive Question Answering system for clients with minimally labeled data
- Adapted Continual Learning techniques to mitigate catastrophic forgetting and reduce training costs
Sep 2019 - Sep 2020 ML Scientist @ Coveo Solutions Inc.
- Served ML models using TorchServe on Docker images in EMR
- Quantized and pruned the ML models to minimize the resources used and maximize throughput
- Implemented parallel and distributed model training on GPU
- Implemented a dynamic taxonomy prediction for queries, and used attention mechanism to gray-box the model
- Researched and implemented Transformer-based query retrieval system for long queries
- Implemented product content embedding based on product description and visual representation
- Participate in ML recruitment events and conduct technical interviews
- Initiated and organized "paper club", a bi-weekly workshop on the recent developments in ML
- Represented Coveo at NLP events such as MILA, RALI, MTL-NLP, etc.
May 2019 - Sep 2019 ML Developer Intern @ Coveo Solutions Inc.
- Implemented parallel model building on EMR clusters
- Implemented bigram and trigram model for product recommendation: frequently bought together recommender
Education
Jan 2021 -
Mila
and Concordia University
- PhD of Computer Science: Continual Learning (GPA: 4.0)
- Supervisors: Dr. Eugene Belilovsky
- Scholarships:
- Concordia Merit Scholarship (2021)
- Graduate Doctoral Incentive Fellowship (2021)
Sep 2017 - May 2020
Concordia University
- Master of Computer Science: Natural Language Processing (GPA: 3.95)
- Supervisors: Dr. Leila Kosseim and Dr. Tien Bui
- Scholarships:
- Concordia Merit Scholarship (2018 and 2019)
- Concordia University Conference and Exposition Award (2019)
- IVADO Student Grant (2020)
Sep 2013 - Dec 2016
McGill University
- Bachelor of Science: Double Major in Mathematics and Computer Science
- Represented McGill University in Putnam Competition in both 2014 and 2015
Sep 2011 - May 2013
Dawson College
- DEC in Pure and Applied Science
- Dawson Mathematics Competition: 1st place in 2012 and 2nd place in 2011
Teaching Experience
May 2018 - Dec 2019 Teaching Assistant @ Concordia University
- Comp-472: Artificial Intelligence
- Comp-339: Combinatorics
- Comp-5361: Discrete Structures and Formal Languages
- Comp-335: Introduction to Theoretical Computer Science
September 2015 - May 2016 Teaching Assistant @ McGill University
- Math-242: Analysis 1
- Math-255: Honours Analysis 2
September 2011 - May 2016 Teaching Assistant @ Dawson College
- Linear Algebra
- Probability and Statistics
- Calculus 1, 2, and 3
September 2013 - May 2016 Private Tutor @ Liberty Tutoring
- Linear Algebra
- Probability and Statistics
- Calculus 1, 2, and 3
- Waves and Optics
- Mechanics
- Electricity and Magnetism