Shaylin Thadani

Experience

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  JA Worldwide

  Oct 2018 - May 2019

  Junior Achievement Entrepreneur

  • Led a team of eight entrepreneurs where I enhanced my entrepreneurial skills in time management and strategic thinking to develop a product in a short time frame• Interviewed local successful business owners to gain insight on how to create a successful company• Led group brainstorming sessions for business ideation• Created business project budget in collaboration with team members

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  Google Developer Student Clubs

  Sept 2020 - Jun 2021

  Google Student Developer

  • Member of the Google Student Developer Chapter• Participated in skill-building workshops with practical exposure to projects using React, Firebase,TensorFlow, and Google Cloud• Completed Cloud Study Jams using Qwiklabs and created projects with Kubernetes,• Implemented virtual Machines, BigQuery and Docker.• Set up a personal cloud stack for development• Actively involved in networking events with FAANG companies and worked with Google mentorsto improve interviewing and presentation skills Show less

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  BlackBerry QNX

  May 2022 - Sept 2022

  Engineering Release Team Student

  • Designed and developed a REST API end to end with a Full Stack interface that accepts JSON payloads via HTTP requests for floating FlexLM License generation• Implemented REST API from design to production utilizing: PHP, JavaScript, HTML, JSON, cURL and SHA 256• Developed Fuzz testing scripts for debugging• Improved FlexLM License generation speeds by 10x and facilitated migration to modern infrastructure• Collaborated in weekly stand-ups in an agile environment

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  OpenText

  Jan 2023 - Apr 2023

  Machine Learning Platform Engineer

  • Worked on Interset's threat detection cybersecurity pipeline where I refactored the machine learning probability logic and improved runtime by 150% by leveraging Spark• Improved aggregation runtime by 30% by configuring Delta cache and Kryo serialization• Developed performance tests and produced detailed analyses of metrics on RAM, disk space and runtime in Ganglia which led to the implementation of optimizations• Utilized Scala, Python, SQL, Apache Spark, PySpark, GitHub, Databricks and AWS S3 Show less

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  Adaptron Inc.

  Sept 2023 - Jan 2024

  AI R&D Engineer

  • Building a general-purpose AI using Binary Neurons that can learn, think and act autonomously• Spearheaded the development of the prediction algorithm from conception to implementation that can predict spatial objects across multimodal inputs• Designed and developed the attention framework, enabling focused processing on key percepts, inspired by cognitive processes observed in the human brain• Deep Learning, Neural Networks, Python, object-oriented programming, MVC, GitHub

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  Raven Connected

  May 2024 - now

  AI and Computer Vision Engineer

  • Developing efficient AI and computer vision algorithms for real-time on-edge analysis of vehicle camera feeds• Extensively researched and implemented methodologies from leading papers, including multi-task learning for simultaneous detection and re-identification features, and video compression tracking (MPEG, H.264/265).• Utilizing machine learning frameworks and libraries such as TensorFlow, PyTorch, and OpenCV for model development and deployment

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  Canadian Space Agency | Agence spatiale canadienne

  May 2024 - now

  Machine Learning Engineer

  • ML team on the CASTOR mission, launching in 2029 to replace Hubble and become the world’s most advanced UV telescope.• Developing a machine learning-based simulation tool for the CASTOR space satellite, utilizing Generative Adversarial Networks (GANs) and diffusion models to generate high-fidelity images for pre-launch optical calibration, ensuring accurate mirror alignment and optimal telescope performance.• Researching and building LLMs for the Canadian Astronomy Data Centre to query telescope and observatory data in natural language. Show less