Amit Kumar Roy

Responsibilities: • Generating and preprocessing the data. • Researching and creating machine learning models (DNN, CNN, Decision Tree, SVM etc) • Pruning, Model quantization and statistical analysis of the model • Analysis of the hardware complexity for the model • Research about hardware implementation of the model Tools and Language: • API & Library: Tensorflow Keras, scikit-learn, Pytorch, Tensorflow Lite, Pandas, Numpy and others • Language: Python • Applications: Visual Studio Code, Jupyter Notebook

• Lead 25 employees to deliver outstanding output • Secure investment of 30,000 € for the company • Lead the IT team and provide them with Functional requirements document • Developing strategies for the company. • Develop the business from scratch and achieve 600+ loyal customers

• Design, Implementation, Synthesis and Test of Embedded Systems • Tools: Xilinx Vivado HLs, git • Language used: VHDL and assembly • Developing hardware and software for the target platform (RISC CPU, called LT16x32) in a Linux environment and testing the designs. • Lab Project: Designing clients in a distributed system in which the communication between clients is established based on the CAN bus protocol.

• Property checking of digital systems by using property checking language SVA • Tool: OneSpin 360 DV • Completeness check of property set by using case split test, determination test, reset test and successor test