Akshay Patil

Implemented various Deep learning networks for image enhancement, detect and classify defects on images of the screen used for solar cell screen printing. Collaborated closely with the team in a project to develop a user-friendly GUI using PyQt framework for a 3-axis microscope developed at Fraunhofer ISE

Topic: Development of Adaptive Algorithms to Predict the 3-Dimensional Shape of Printed Contacts for Silicon Solar Cell Metallization Developed and implemented a deep learning model using Python and Machine Learning frameworks- TensorFlow, SK-Learn and Keras. Area of work: Deep learning, Computer Vision, Solar Cells, Image Processing, 3D Modelling.

Worked on computer vision tasks to analyze various parameters of screen meshes used in solar cell screen-printing from digital microscope images using OpenCV Python library. Developed an image stitching algorithm to seamlessly combine multiple images from a digital microscope into a single high-resolution image. CNN for defect detection and classification in PEM fuel cells using python. mproved model’s performance using Hyperparameters tuning, data augmentation techniques and tested on prepared datasets

Assisted in the manufacturing process of medical cables and temperature probes. Mostly engaged in assisting the production managers in assembling and packaging of temperature probes, medical cables and gained procedural knowledge regarding the sensor development & manufacturing process.

Supervised project activities to ensure timely completion of projects. Estimated and calculated project's duration and cost including purchase, raw material, labour. Project installation, testing, commissioning, and maintenance with the engineering team. Prepared technical documents based on project specifications. Electricity consumption audits were performed

Major: Automation Technology (Neural Network, Machine learning, IoT), Network and Security Management, Micro System Engineering, Simulation of Complex Systems. Quality Management