Miadad Rashid

About Miadad Rashid

Driven by boundless curiosity, I am a devoted problem solver who thrives on the belief that principles of problem-solving are universal and extend beyond specific domains. I am passionately invested in diversifying my intellectual canvas, delving into physics, philosophy, mathematics, graph theory, information theory, machine learning, and engineering principles. The key to my approach lies in weaving together insights from these domains to sculpt innovative product designs and solution architectures.Work-life balance for me is not a dichotomy, but a harmonious blend made possible because I am deeply passionate about my work. Whether I\'m deepening my understanding of theoretical concepts or translating those ideas into practical solutions, every moment is a fulfilling journey of continuous learning and growth.In this way, I bring a unique interdisciplinary perspective to my work, a perspective that fosters creativity and innovation while grounded in a robust understanding of various disciplines. Feel free to reach out if you\'re interested in discussing intriguing ideas or potential collaborations.

Experience

1. Lead Machine Learning Software Engineer

   Trimble Inc.

   Dec 2019 — Present · Minneapolis, MN, US

   Autonomous Driver Coaching System: Led development of an AI system using computer vision and ML for real-time driver feedback, enhancing safety and compliance.• Cloud-based Recommendation Engine: Engineered a Kubernetes-based recommendation engine using AWS SQS, DynamoDB, and S3, managing asynchronous ML models for tailored recommendations.• Driver Retention Model: Created an ML model predicting driver churn using dispatch logs sentiment analysis and other carrier attributes, aiding strategic planning.• Cloud-based Drift Systems: Developed architecture for cloud-based model and data drift systems, enhancing robustness of our ML products.• Coding Best Practices: Established code best practices, team agreements, and source control processes, improving collaboration and product quality.• CI/CD Migration: Migrated CI/CD systems from Jenkins/Spinnaker to Github/ArgoCD, optimizing the development lifecycle.• Custom Tooling: Produced custom software tooling and packages adopted by various teams, boosting productivity.• Trucking Recommendation System: Designed a trucking recommendation system using optimization, ML, and graph theory, providing strategic insights for operational excellence.

Education

• Udacity

  Machine Learning Certification

  2016 — 2017

• Stanford University

  Deep Learning Certification

  2017 — 2018

• UC San Diego

  Big Data Certification

  2017 — 2018

• The Johns Hopkins University

  Data Science Certification

  2014 — 2015

Skills

• Data Analysis
• Hql
• Programming
• Html
• Spark
• Neural N
• Sql
• Linux
• Microsoft Word
• Nosql
• Python
• Analytics
• Css
• Mongodb
• Deep L
• Javascript
• Statistics
• Facebook Api
• Statistical Modeling
• Data Mining
• Multivariate Analysis
• Twitter
• Amazon Web Services (Aws)
• Microsoft Office
• Customer Service
• Facebook
• R
• Microsoft Excel
• Powerpoint
• Data Visualization
• Machine Learning
• Microsoft Powerpoint
• Hadoop