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Shuja Khalid

Shuja Khalid

Applied AI|ML Engineer/Scientist

Engineering / Architecture

Toronto, Ontario

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About Shuja Khalid:

I recently completed my PhD in Computer Science from the University of Toronto, specializing in modelling multi-modal data for various healthcare applications. I have worked as a machine learning engineer, a research engineer and an applied scientist for various start-up companies.

Experience

1. AI Research Scientist in Residence | Next AI · Contract Part-time - Toronto, Ontario, Canada · Hybrid

- Provide advice and configuration support with respect to software and hardware technologies, tools, and platforms (e.g. cloud-based Al services, open source software frameworks)
- Provide R&D and software development services
- Atend lectures in Al/Machine Learning with the technical stream and support learning through
consultation and review of material
- Assist the Academic Director with grading of student assignments as requested

2.  Senior Applied Research Scientist | Inferinsics AI · Permanent Part-time - Toronto, Ontario, Canada

- Developed and deployed inference pipelines for Large Language Model querying for industrial applications.
- Created versatile agents for tasks such as AI text detection and improving explainability/diagnosis of LLMs.
 

3. Surgical Safety Technologies Inc. | Senior Machine Learning Engineer

Permanent Full-time | Jan 2019 - Oct 2023 · 4 yrs 10 mos 

- Designed machine learning systems and deployed them using AWS Lambda, AWS EC2 and AWS SageMaker
- Developed, deployed and subsequently published multiple machine learning algorithms for assessing surgical performance
- Experimented with various model architectures for different tasks, from prototying to deployment
- Extensive experience with front-end programming functional components in reactJS 
- Extensive experience with NoSQL based back-end programming in nodeJS 
- Created, deployed, and maintained both microservice and lambda based functional backends
- Created, deployed, and maintained Android and iOS based mobile applications

Education

  1. University of Toronto | Doctor of Philosophy - PhD, Machine Learning | 2019 - Mar 2024
  2. University of Toronto | Master of Science in Applied Computing | 2017 - 2018

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