
Ravi Rai
Web Developer

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About me
Machine Learning Engineer | Ex-Quantum Computing | Python, PyTorch, MLOps, LangChain, Docker, AWS, SQL
Education

Dalhousie University
2018 - 2021Master of Science - MS Mathematics• GPA: 3.95

Dalhousie University
2014 - 2018Certificate in IT Information Technology
Dalhousie University
2014 - 2018Bachelor of Science - BS Physics and Math• Graduated with honors
Experience

MyDobies Inc.
Jun 2016 - Aug 2016Web Developer• Designed and developed a website using a CMS within a 1-month timeframe for a Pubs and Eatery location.• Improved and maintained the website with SEO methodology.

Mydobies Inc.
Jul 2017 - Aug 2017Marketing Analyst• Updated a Pub and Eatery's online presence by optimizing website content & readability using a CMS.• Initiated organic traffic growth through SEO implementation and tracked results with Google Analytics.• Sped up the vendor selection process via comparative analysis of 5+ potential partners in Excel.

Dalhousie University
Sept 2018 - Dec 2021Quantum Computing Researcher● Formulated a new theorem in quantum computing by expanding upon state-of-the-art research and skillfully communicated final results to both technical and non-technical audiences using Latex.● Calculated qubit specifications in Python by calculating tensor products iteratively using NumPy.● Validated new quantum research by visualizing quantum graph theory theorems using Matplotlib.● Boosted student success with one-on-one mentorship, evidenced by average grades over 80%.

QML Studios
Feb 2022 - nowMachine Learning Engineer● Advised stakeholders on Gen AI projects by providing consulting services regarding proper LLM and LLMOps integration for workflow optimization using machine learning system design principles.● Built an NLP-driven app on product review analysis for over 15+ products by leveraging sentiment analysis and text summarization methods using Hugging Face, PyTorch, PyTest, and Docker.● Designed a machine learning system to simplify macronutrient counting for flexible dieting regimens by building data and model training pipelines using XGBoost, Flask, AWS, and MLOps best practices.● Engineered new features and a target variable to construct a maternal health risk model, reducing feature redundancy by 10% using correlation analysis and data imputation methods with Pandas.● Constructed custom datasets with ETL processes & scripts by web scraping using SQL & Bigquery.● Reduced code review iterations by 30% via company-specific guidelines to ensure high-quality code. Show less
Licenses & Certifications
- View certificate

IBM Data Science Certificate
CourseraSept 2022 - View certificate

Machine Learning Nanodegree
UdacityFeb 2019 - View certificate

Computer Vision Nanodegree
UdacityOct 2021
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