Nabeel Qazi
Machine Learning & Data Science Expert | Pioneering Robotics & UAV Technologies
- Role
- Machine Learning Engineer at Love For Data
- Location
- Ann Arbor, MI, US
- LinkedIn followers
- 500 followers
About Nabeel Qazi
About Me: • Innovative Engineer with over 4 years of experience specializing in computer vision, natural language processing, and predictive modeling. Proven track record in developing and deploying sophisticated AI solutions that drive business value across diverse industries including fintech, aviation, and telecommunications. • Computer Vision enthusiast with a deep passion for developing innovative image processing and machine learning solutions. • Dedicated to advancing drone and UAV technologies, with a focus on integrating cutting-edge computer vision capabilities for enhanced autonomous operations. • Aspiring to contribute to the field of Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS), leveraging expertise in AI and robotics to shape the future of transportation. Achievements: • Grand Champion of IMechE UAS Challenge 2019: Led a team to victory with an innovative drone design. • Publication in 2022: Authored a research paper contributing to advancements in engineering and technology. • University High Achievers Certificate: Recognized for outstanding performance with a prestigious certificate. Skills • Machine Learning: Python, TensorFlow, PyTorch, Scikit-learn • Computer Vision: OpenCV, YOLO, Mask R-CNN, MATLAB • Data Analysis: Pandas, NumPy, SQL • Cloud Platforms: AWS, Google Cloud Platform, Azure • Version Control: Git, GitHub • CI/CD: Jenkins, GitLab CI, Docker • Programming Languages: Python, C++ • Databases: MongoDB, MySQL, PostgreSQL, Milvus • Operating Systems: Windows, Linux, macOS • UAV Technologies: ArduPilot, Pixhawk, Raspberry Pi, Nvidia Jetson Nano • Autonomous Systems: ROS, Autonomous Vehicle Development • Visualization Tools: Tableau, Microsoft Power BI, Plotly, Excel • QA Tools: Postman, JIRA, TestRails 🤝 Let\'s Connect: Feel free to reach out via LinkedIn or email to explore opportunities and collaborations. I\'m always excited to connect with like-minded professionals and discuss innovative projects.
Experience
Machine Learning Engineer
Jan 2023 — Present
Education
University of Michigan
Master's degree
2024
National University of Sciences and Technology (NUST)
Bachelor of Engineering - BE
2016 — 2020
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