CV
Skills
- Data Science, Machine Learning, Deep Learning, Big Data Analytics, Predictive Modeling, Computer Vision, Natural Language Processing, Image Processing, Signal Processing
- Mathematics, Probability & Statistics, Calculus, Algebra, Object Oriented Programming, Data Structures & Algorithms
- Programming: Python, MATLAB, SQL, JavaScript, Scala, R, C/C++, HTML/CSS
- Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, Hadoop, MapReduce, Spark, NumPy, Pandas, SciPy, Pig, Hive
- Tools & Technologies: git, Linux, Shell Scripting, Docker, JupyterLab, Cloud Computing, AWS, GCP
Education
| Degree Program | Institute | Timeline |
|---|---|---|
| M.S. in Computer Science | Georgia Institute of Technology, USA | Spring 2021 - Present |
| M.S. in Mechanical Engineering | University of Illinois at Urbana Champaign (UIUC), USA | Fall 2018 - Spring 2020 |
| B.S. in Mechanical Engineering | National University of Sciences and Technology (NUST), Pakistan | Fall 2011 - Spring 2015 |
Work Experience
- [Mar 2021 - Present] Software Engineer in Test – Data Tools , MathWorks Inc.
- Design and development of automated test suites to catch bugs & deliver high quality products to customers.
- Maintain testing platform, debug test failures, perform root-cause analysis, & resolve bugs in a timely manner.
- [May 2020 - Mar 2021] Application Support Engineer , MathWorks Inc.
- Performed root cause analysis and provided timely resolution of customer’s complex technical problems that span across multiple MATLAB products such as Computer Vision, Statistics & ML, DL and their applications.
- Coached newer engineers about best practices on working with customers via email and phone support.
- Profiled training time for image segmentation network implementations in MATLAB & PyTorch (detectron2). Identified bottlenecks and presented findings to the development team for algorithm improvement.
- Authored MATLAB example ‘Remaining Useful Life (RUL) estimation using Convolutional Neural Network’ url
- [Jun 2019 - May 2020] Student Data Analyst , John Deere
- Delivered scientific computing solutions for business needs of Soil & Crop Systems team. Projects spanned across fields such as signal processing, image processing, computer vision, and 3D point-cloud processing.
- Automated data parsing, processing & analysis tasks using MATLAB & python and reduced ETL runtime by 95%.
- Created easy to use data processing GUIs for operators having minimal programming experience.
- [Sep 2018 – May 2020] Research Assistant , Automation & Digital Manufacturing Lab, UIUC
- Installed automated data acquisition system from IoT sensors. Developed & deployed a machine learning based model for online tool condition monitoring of ultrasonic welder. This work resulted in journal publication url.
- [Jul 2015 – Apr 2018] Assistant Manager , Public Sector R&D Organization, Pakistan
- Managed a team of 4 technicians and contributed towards product development projects in a R&D group.
- [Summer 2013, Summer 2014] Research Intern , NUST, Pakistan
Publications
- Nazir, Q. and Shao, C., 2021. Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning. Journal of Manufacturing Processes, paper
- Ghazi, M., Nazir, Q., Butt, S.U. and Baqai, A.A., 2018. Accuracy Analysis of 3-RSS Delta Parallel Manipulator. Procedia Manufacturing, paper
Teaching Assistant
- MATLAB Fundamentals, MathWorks Inc.
- TAM 210/211: Statics, Fall 2018, Fall 2019, Spring 2020
- TAM 212: Dynamics, Spring 2019
Acaemic Achievements and Awards
- Full Funding for Masters Program at UIUC, 2018-2020
- 1st Position in Academics, President’s Gold Medal 2015, NUST-CEME
- Best Capstone Project, Rector’s Gold Medal 2015, NUST-CEME
- NESCOM Fellowship, 2011-2015
- NUST GPA scholarships, 2011-2015