Interests: How your brain ticks (Neuroscience, Cognitive Science, Psychology), Reinforcement Learning, Machine Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, AI Ethics, Reproducibility in Research, and so much more…
Coursework (as a student): Reinforcement Learning, Machine Learning, Applied Machine Learning, Computer Vision, Computer Graphics, Micro- and Nano-bioengineering, and more
Languages: English (Native), Russian (Rusty Native), Spanish (Intermediate), French (Beginner)
Programming Languages: Python, Java, Javascript, C, C++, Objective-C, Matlab, OCaml, TTCN-3, Bash, etc.
Tech: Pytorch, Tensorflow, Keras, Theano, Git, MongoDB, node.js, all the AWS things (DynamoDB, EC2, S3), etc.
Certifications: First Aid, CPR, EMT-B
Reviewer for IROS 2017, IROS 2018, JMLR, AWS ML Research Awards Proposals, Amazon Machine Learning Conference (AMLC) 2018, RML@ICML 2018 Workshop, CORL 2018
Organizer of ICML 2018 Workshop on Reproducibility in Machine Learning
Teacher for Math 303: Discrete Mathematics (TA, McGill University), Comp 202: Intro to Computing (TA, McGill University), Comp 303: Software Design (TA, McGill University), EMED 111A: Emergency Medical Technician Training (TA, Stanford University)

Education

2018-Now
Ph.D. Computer Science
Stanford University
Advisor: Emma Brunskill
2016-2018
M.Sc. Computer Science
McGill University / Montréal Institute for Learning Algorithms
Thesis: Reproducibility and Reusability in Deep Reinforcement Learning
Advisors: David Meger and Joelle Pineau
2011–15
B.Eng. Software Engineering [Minor in Biomedical Engineering]
McGill University
Thesis: Autonomous Swarm Behaviour in Mesh Networked Agents
Advisor: Mark Coates

Work Experience

Oct 2017 - July 2018
Applied Scientist
@ Amazon (Alexa Brain)
Python, PyTorch, Keras, Theano, Tensorflow
Sep 2016 - Oct 2017
Researcher
@ McGill University / Montreal Institute of Learning Algorithms
@ Mobile Robotics Lab / Reasoning and Learning Lab
Python, TensorFlow, MuJoCo, PyTorch
Jun 2015 - Sep 2016
Software Development Engineer
@ Amazon (AWS)
DynamoDB, EC2, SimpleDB, S3, EBS, Java, Python, Bash
  • Worked on AWS New Initiatives including Storage Gateway and File Gateway.
  • Developed internal tool for automatically analyzing high severity events for quicker response times and recommended actions to mitigate the problem.
  • Developed tooling for migrating database systems safely and with minimal downtime, used the tools in a live production environment.
  • Developed and architected the core code of File Gateway along with a small agile team.
  • Supported customers and participated in maintaining the live production Storage Gateway system.
May 2014 - Aug 2014
Software Engineering Intern
@ A Thinking Ape
Python, Django, Apache (server), Spark, Hadoop, Bash, Redis, MySQL, haproxy, monit, Javascript, HTML/CSS
  • Worked on Realtime Bidding System for buying mobile ad space, initially with Mopub and OpenX
  • Used Django/Python, MySQL, Apache, HAProxy, Monit and other server technologies to achieve a round trip time of < 100 ms for tens of thousands of requests per second
  • Was the lead developer for a logging, analysis, and machine learning tool for analyzing and learning bidding models using Python, Spark, and Hadoop among other tools. Also created a web interface for ease-of-use and handled initial server configurations, setup, and monitoring.
  • Developed additional internal metrics tools for analyzing acquired user value and retention statistics within the company’s mobile games
  • Saw Realtime Bidding system to a soft launch for internal advertising
Sep 2013 - Nov 2013
Research Assistant and Software Developer
@ McGill Centre For BioInformatics
Javascript, Phonegap, Objective-C, Java
  • Worked briefly on Phylo, an online game to crowd source the matching of phylogenetic data
  • Used Phonegap and Javascript to begin porting application to mobile devices
Jan 2013 - Aug 2013
Research and Software Development Intern
@ Ericsson
Java, Jenkins, TTCN-3, Javascript, HTML/CSS
  • Worked on Web Communication Gateway, a Java backend application for exposing Real Time Communication services (RCS) to clients over a REST interface that can handle millions of users per rack and hundreds of thousands of users per instance.
  • Initially developed and designed proprietary TTCN-3 Framework for SIP/HTTP/MSRP signaling and set up automated testing system through Jenkins
  • Quickly became part of the core Research & Development Team developing the commercial product in Java, cross validating and implementing functionality/tests based on RCS/Telecommunications specifications including SIP/MSRP/HTTP signaling and multithreaded systems.
  • Saw product from pre-commercial redesign stage to commercial launch
  • Also expanded features of test/web client and Javascript API for the WCG product for Customer Presentations
Sep 2012-Dec 2012
Research Assistant and Software Developer
@ McGill DDMAL Music Technology Laboratory
Python, Django, C++
  • Worked on web application pipeline for image processing and Optical Music Recognition in Python called Rodan

Kind of Irrelevant Experience

Jul 2010 - Aug 2012
Produce Manager
@ Fancy's Marketplace (Osterville, MA)
  • Work seasonally as stock staff. Promoted to Produce Manager Summer, 2012.
Jun 2009 - Sep 2009
Waitstaff
@ Wimpy's Restaurant & Tavern (Osterville, MA)
Jul 2008 - Sep 2008
Prep Cook (ServSafe Certified)
@ Dockside Restaurant & Bar (Hyannis, MA)
Jun 2007 - Sep 2007
Prep Cook and Cashier
@ Cape Cod Bagel Co. (Falmouth, MA)