Ravi Rai

Ravi Rai

Web Developer

Followers of Ravi Rai4000 followers
location of Ravi RaiGreater Toronto Area, Canada

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  • Timeline

  • About me

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

  • Education

    • Dalhousie University

      2018 - 2021
      Master of Science - MS Mathematics

      • GPA: 3.95

    • Dalhousie University

      2014 - 2018
      Certificate in IT Information Technology
    • Dalhousie University

      2014 - 2018
      Bachelor of Science - BS Physics and Math

      • Graduated with honors

  • Experience

    • MyDobies Inc.

      Jun 2016 - Aug 2016
      Web 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 2017
      Marketing 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 2021
      Quantum 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 - now
      Machine 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