Omkar Raotole

Experience

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  Pratik Software

  Jan 2021 - May 2021

  Python Developer

  • Engineered an automated email generator, enabling 100 concurrent emails in 10 seconds; integrated third-party web services using Docker and CI/CD, emphasizing continuous testing and deployment with XML configuration for scalability• Designed a backend system for seamless integration, enhancing delivery with cloud infrastructure and leveraging C++, Golang, and SQL for database management, ensuring performance-critical components

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  Nirma University, Ahmedabad, Gujarat, India

  Jan 2023 - Jul 2023

  AI Researcher

  • Built a high-accuracy (98.2%) solid waste classification system using Xception, DenseNet, and EfficientNet models, enhanced by custom image processing techniques to accurately categorize diverse waste types from a dataset of over 30,000 images• Leveraged deep learning and GPU optimization for efficient waste management, employing ensemble models and CNNs for dynamic recognition of waste categories, significantly enhancing urban sustainability and waste processing efficiency

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  Trigrexam

  Feb 2023 - Jul 2023

  Android Developer

  • Transformed a Java codebase into Kotlin, enhanced JavaScript and Angular for improved UI/UX; optimized JSON data rendering and image quality, reducing loading times by 65%• Reduced application crashes by 43% by improving operating systems integration and streamlining Linux user experience, leveraging test infrastructure practices, including NoSQL and Terraform for infrastructure as code• Modernized the application by replacing deprecated functions, efficiently managed database operations with SQL for database deployment, ensuring up-to-date functionality Show less

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  Northeastern University

  Oct 2023 - May 2024

  Graduate Research Assistant

  • Processed 44 million rows of SPL data by creating an algorithm to manage data in 1 million row chunks, established key thresholds for prizewinner analysis, and applied OLS regression for insightful results• Leveraged a supercomputer for data analysis, utilizing SBATCH and nano for job scheduling and file testing; optimized performance and managed large datasets in MobaXterm• Analyzed a movie dataset to predict real-time ratings, performing EDA, cleaning, and regression to identify key factors, achieving 96% accuracy Show less