Ali Azam Email & Phone Number | Self-motivated hands-on professional with experience in automation testing focused on creating test equipment for manufacturing in a dynamic production environment using electrical engineering and software development skills. Technical Summary: Design & Development: • Designed and developed end-to-end Automated Test Equipment (ATE) solutions for both New Product Introduction (NPI) and legacy system maintenance. • Leveraged Python, TestStand, and LabVIEW to automate 90-100% of manual testing procedures, reducing test execution time by 40-70%. • Integrated diverse hardware using various communication protocols (TCP/IP, GPIB, serial) to develop reliable automated test systems. Collaborative & Detail-Oriented: • Partnered effectively with cross-functional teams (engineering, quality, manufacturing) to design, develop, and implement robust automation systems, ensuring alignment with project goals and requirements. • Authored and maintained comprehensive documentation, including equipment specs, hardware/software designs, installation instructions, and project plans. Quality & Efficiency Champion: • Participated in cross-functional design reviews, providing technical expertise and actionable feedback to optimize ATE performance, mitigate risks, and ensure long-term system reliability. • Successfully managed multiple concurrent automation projects, meeting deadlines and budgetary constraints. AI & Data Analysis: • Developed a CNN-based image analysis model achieving 99.5% accuracy in artifact detection, with potential to significantly streamline ATE processes and reduce manual inspection time. • Leveraged Python to analyze extensive datasets (10,000+ files), identifying trends and root cause of low yield in a test equipment. Skills: Languages & Libraries: Python, C++, Bash, NumPy, PyTorch, SciPy, Scikit-learn, Pandas, and OpenCV Development Tools & Environments: TestStand, LabVIEW, MATLAB, Simulink, Spyder, Jupyter, VSCode, Ana- conda, CodeBlocks, Arduino, Linux (Ubuntu, SUSE), and GitHub Hardware & Equipment: Raspberry Pi, Data Acquisition Systems (DAQ), Electronic Loads, Signal Generators, Oscilloscopes, Spectrum Analyzers, Digital Multimeters (DMM), Proximity Sensors, Programmable Power Supplies, Network Equipment (e.g., Routers, Switches), USB Multiplexers, Video Capture Cards, Programmable Power Strips, Power Converters, and Relays Contact Information: Email: azam.ete.ruet@gmail.com

Ali Azam

Self-motivated hands-on professional with experience in automation testing focused on creating test...
Milwaukee, Wisconsin, United States

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Ali Azam’s Email ali.azam@ge.com

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Ali Azam’s Location Milwaukee, Wisconsin, United States

Ali Azam’s Current Industry Ge Healthcare

Ali Azam’s Prior Industry Mars Solutions | South Dakota School Of Mines And Technology | Fair And Appropriate Technology

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Work Experience

Ge Healthcare

AME Test Engineer

2021-11-01 00:00:00 - Present

Mars Solutions

Test Engineer

2021-06-01 00:00:00 - 2021-11-01 00:00:00

South Dakota School Of Mines And Technology

Volunteer Research Assistant

2021-01-01 00:00:00 - 2021-05-01 00:00:00

Fair And Appropriate Technology

System Engineer

2016-03-01 00:00:00 - 2016-11-01 00:00:00

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Languages

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FAQ About Ali Azam

Ali Azam is located at
Milwaukee, Wisconsin, United States

Ali Azam is a Self-motivated hands-on professional with experience in automation testing focused on creating test equipment for manufacturing in a dynamic production environment using electrical engineering and software development skills. Technical Summary: Design & Development: • Designed and developed end-to-end Automated Test Equipment (ATE) solutions for both New Product Introduction (NPI) and legacy system maintenance. • Leveraged Python, TestStand, and LabVIEW to automate 90-100% of manual testing procedures, reducing test execution time by 40-70%. • Integrated diverse hardware using various communication protocols (TCP/IP, GPIB, serial) to develop reliable automated test systems. Collaborative & Detail-Oriented: • Partnered effectively with cross-functional teams (engineering, quality, manufacturing) to design, develop, and implement robust automation systems, ensuring alignment with project goals and requirements. • Authored and maintained comprehensive documentation, including equipment specs, hardware/software designs, installation instructions, and project plans. Quality & Efficiency Champion: • Participated in cross-functional design reviews, providing technical expertise and actionable feedback to optimize ATE performance, mitigate risks, and ensure long-term system reliability. • Successfully managed multiple concurrent automation projects, meeting deadlines and budgetary constraints. AI & Data Analysis: • Developed a CNN-based image analysis model achieving 99.5% accuracy in artifact detection, with potential to significantly streamline ATE processes and reduce manual inspection time. • Leveraged Python to analyze extensive datasets (10,000+ files), identifying trends and root cause of low yield in a test equipment. Skills: Languages & Libraries: Python, C++, Bash, NumPy, PyTorch, SciPy, Scikit-learn, Pandas, and OpenCV Development Tools & Environments: TestStand, LabVIEW, MATLAB, Simulink, Spyder, Jupyter, VSCode, Ana- conda, CodeBlocks, Arduino, Linux (Ubuntu, SUSE), and GitHub Hardware & Equipment: Raspberry Pi, Data Acquisition Systems (DAQ), Electronic Loads, Signal Generators, Oscilloscopes, Spectrum Analyzers, Digital Multimeters (DMM), Proximity Sensors, Programmable Power Supplies, Network Equipment (e.g., Routers, Switches), USB Multiplexers, Video Capture Cards, Programmable Power Strips, Power Converters, and Relays Contact Information: Email: azam.ete.ruet@gmail.com

Ali Azam currently works in the Ge Healthcare |

No Languages Available

Ali Azam has prior
experience in the following industries:
Mars Solutions | South Dakota School Of Mines And Technology | Fair And Appropriate Technology

Ali Azam has the following professional experience:
Ge Healthcare | Mars Solutions | South Dakota School Of Mines And Technology | Fair And Appropriate Technology