Ing. Sreejith Sundharan Nair

• Develop Radio Frequency Biased Life Test for the Reliability test • Firmware development for the stress test • Component verification and requirement engineering for HF life test

- Digitales Vorverzerrungsmodell mit Hilfe von Deeplearning für HF-Leistungsverstärker entwerfen. - Entwicklung von GUI und Deep Learning-Algorithmus für das digitale Vorverzerrungsmodell. - Tools: Python, MATLAB (Digitale Signalverarbeitung), Tensorflow, CUDA

The Potential of MoX Sensor based Gas Scanner for Outdoor Air Quality Parameters - Design and develop embedded software (C) with IoT application for data collection and validation of environmental sensors. - Implementation of machine learning and neural network predictive model for outdoor air quality index. - Comparison and optimization of various machine learning algorithms for outdoor air quality.

– Algorithm Developer - Development of data analysis and evaluation tool chain for sensor signals. - Implementation deep neural network and machine learning model for sensor failure root cause analysis. - Support of the algorithm development team through validation of developed models and data engineering.

– Developer for MEMS Sensors - Development, test and qualification of new MEMS sensors such as barometric pressure, indoor air quality and humidity sensors. - Data evaluation and interpretation using predictive analysis using machine learning algorithms. - Developing machine learning classification algorithm for extracting outdoor major pollutant gases from gas sensor data.

- Test engineer -Worked in advanced thermo-vacuum test facility of system reliability entity in Vikram Sarabhai Space Centre. - Assist vacuum test and report generation in LabVIEW environment. - Calibration and analysis of temperature sensors.

Applied Mathematics, Sensor electronics, Embedded digital system, Physics (physical material diagnostics and solid state physics)

Digital Signal Processing, Control Systems, Sensor Technology, Matlab and Simulink, Micro Controller Programming, Robotic and Automation.