Technical Skills

Technical Skills

Power Electronics

  • In-depth understanding of power semiconductor devices

  • Constant current & constant voltage switch mode power supply design

  • Soft switching techniques

  • Electromagnetic component design

  • EMI Filter Design

  • Compensator design for close loop regulation of voltage or current

  • Circuit design, schematic preparation, PCB layout design in PADS.

  • Component selection and procurement.

  • Chassis design and thermal management

  • Efficiency Optimization

  • BLDC Motor controller and drive electronics design

Micro-Electronic Devices and Circuit Design

  • In-depth understanding of semiconductor physics and operating principles of the transistors.

  • In-depth understanding of semiconductor manufacturing and process control

  • VLSI circuit and Layout design using tools like Cadence Virtuoso

  • Parasitic modeling and power management of the Integrated Circuits.

Machine Learning

  • Data preprocessing

  • Regularization & optimization

  • TensorFlow & Keras framework

  • Image Processing using Convolutional Neural Network

  • Unsupervised Learning using Auto Encoders

  • Natural Language Processing, Word Embeddings

  • Temporal/sequential learning using Recurrent Neural Network

  • Classifications using Random Forest, XGboost, K-Nearest Neighbour, Support vector machines

  • Dimensionality reduction

  • Clustering

  • Data visualization using tools like MatplotLib, Plotly, Seaborn, Altair, Bokeh, Mapbox, D3js, etc.

  • Streaming of machine learning models based web-applications using Streamlit and its deployment on the cloud platform like Heroku.

Design Automation

  • Electromagnetic component characterization

  • Power converters' thermal profile monitoring and analysis

  • Health monitoring and fault protection during converters' development

  • Switching and conduction loss of the devices monitoring and analysis

  • Module to module performance variation analysis

  • efficiency, size, cost trade-off analysis and optimization

  • Automated PID tuning for a desired step response

  • Processing of large test data files, report generation, storage and management of the data

Internet of Things

  • Comfortable working with the microcontroller for IoT such as Raspberry Pi, Arduino, NodeMCU, ESP32, etc.

  • Integration of IoT devices with virtual assistants such as Google Home, Amazon Alexa, and programming of custom skills

  • Data transfer and cloud storage by using tools like Blynk, Arduino IoT cloud.

  • Device power budgeting and management for remote applications.

  • Application-specific sensor design and its integration with IoT devices

  • Communication protocol like WiFi, Bluetooth, LoRa, RF etc.