Shaylin Thadani Email & Phone Number

San Francisco, CA, US

Victoria, British Columbia, Canada

• 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.
• Researching and building LLMs for the Canadian Astronomy Data Centre to query telescope and observatory data in natural language.

Ottawa, Ontario, Canada

• 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

Ottawa, Ontario, Canada

• 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

Ottawa, Ontario, Canada

• 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

Ottawa, Ontario, Canada

• 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

Ottawa, Ontario, Canada

• 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

Mississauga, Ontario, Canada

• 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