Shrut Shah

Role
Software Engineer at Solix Technologies, Inc
Location
Pittsburgh, PA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

Experience

  1. Software Engineer

    Solix Technologies, Inc

    Oct 2024 — Present

    Designed and implemented machine learning pipelines using Python libraries like Scikit-learn, TensorFlow, and PyTorch, successfully deploying predictive models to production environments and enhancing business decisionmaking processes.Conducted thorough unit testing and debugging of Python applications using frameworks like PyTest and Unittest, ensuring code quality and reducing post-deployment issues by 20%.Spearheaded migrating legacy applications to the AWS Cloud, utilizing EC2, S3, Lambda, and Cloud Formation for infrastructure automation and cost savings of 30%.Implemented CI/CD pipelines using Jenkins, Docker, and Kubernetes, reducing release cycle times by 50% and ensuring rapid and reliable deployments.Led a team of 5 engineers in an Agile environment, contributing to sprint planning, code reviews, and mentoring junior developers.Utilized GitHub and JIRA for version control and project tracking, ensuring smooth collaboration and issue resolution within the team.Enhanced application security by integrating OAuth2 and JWT for secure authentication and authorization of users, leading to a 20% reduction in security incidents.Optimized SQL queries and database structures in MySQL and MongoDB, resulting in a 35% reduction in query execution times.Collaborated with product managers to translate business requirements into technical solutions, contributing to a 25% improvement in project delivery times.Conducted system performance tuning and identified bottlenecks, improving application uptime and user experience.Developed Natural Language Processing (NLP) solutions, such as text classification and sentiment analysis, and Computer Vision applications, including object detection and image segmentation, improving process automation by 40%.Fine-tuned machine learning algorithms, including Random Forest, XGBoost, and deep neural networks, leading to a 30% reduction in computation time while maintaining model accuracy.

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Shrut Shah — Software Engineer at Solix Technologies, Inc in Pittsburgh, PA, US | Unifers