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Project-3
October 3, 2024 – October 3, 2024
In the test rig, one of the defects we observed is a failing coupling. I developed a model that can predict whether the coupling is in good or bad condition based on vibration data.
View ProjectProject-5
October 1, 2024 – October 1, 2024
Using Python through the OPC UA protocol, data from the induction motor and servo motor is acquired and posted to a database. The data is then pushed to a dashboard for display.
View ProjectProject-1
September 25, 2024 – October 3, 2024
Digital twin development for the feed drive and spindle was a key project. I worked on model verification in LabVIEW, deploying a state-space model and comparing its output with real-time data. I tuned parameters for accuracy and developed AI/ML models for fault detection, defect analysis, and RUL prediction
View ProjectProject-4
September 25, 2024 – October 1, 2024
This is edge computing device, which is capable of capturing the vibration , temperature and tachometer readings.The data is processed and displayed.
View ProjectProject-7
September 24, 2024 – September 24, 2024
This project was developed to detect faults in the ball screw and coupling of the test rig. The model is based on vibration data. By analyzing changes in vibration and its features, the model predicts whether the system's vibration is 'Good' or 'Bad,' and also assesses the condition of the coupling
View ProjectProject-2
September 23, 2024 – October 3, 2024
This machine learning model predicts the condition and faults of the motor and its components. It identifies issues such as axial misalignment, looseness, and imbalance. The predictions are based on peaks in the FFTs.
View ProjectProject-6
September 23, 2024 – September 24, 2024
The vibration data was captured using an NI-DAQ through a LabVIEW program. A deep learning model, developed using CNN, detects the machine's state as either 'good' or 'bad' based on the vibration data.
View ProjectProject-8
September 15, 2024 – September 16, 2024
The main object of this project is to automate the gluing process in manufacturing industry. Here the cobot with the help vision technology and glue dispensor, Glue the contour of the object.
View ProjectProject-9
September 15, 2024 – September 15, 2024
Development of the 3D thermal model, which given the three dimwnsional thermal data of the any 3D object.Here the TOF and thermal camera is used to get the point cloud and thermal data.The both data should be in sync and used to develop the 3d thermal model.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in industrial automation, machine learning for condition monitoring, and digital twin development, primarily using Python. While this demonstrates depth in a specific niche, the lack of diversity in project types (e.g., web development, mobile, cloud, distributed systems) and technologies (almost exclusively Python) suggests a potentially narrow fit for a general 'Software Engineer' role. The projects are all personal, which might indicate self-motivation but also a lack of experience in collaborative, team-based software development environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a problem-solving orientation and a focus on practical applications, which could suggest a results-driven approach.