Kalyana Sriram Vemulapati

 Tool Development for High-speed Connector of Automotive ECU  Performed high-frequency measurements of connectors according to the specifications (e.g.OPEN ALLIANCE, IEEE) using network analyzer  Measurement Data analysis of S-Parameters including Frequency vs dB graphs and automate data export to MS-Word and Excel with Python. Alongside designing a GUI and .EXE for windows application.

Learned Machine learning using python on platform PyCharm as IDE  Researched on various articles on machine learning which were published online.  IEEE Article consists of topics such as Support Vector Machine (SVM), Cluster analysis and 3Dimage to 2D conversion  Captured real-time 3D images to Convert into 2D data.  Clustering and plotting in 2D of N- dimensional data.

 Independently worked on quality check of CNC machines in the Diesel-engine manufacturing plant to reduce the consumption of compressed air  Investigation and testing of the circuit diagrams of CNC machines for compressed air consumption  Redesigned wiring diagrams of electro-pneumatics, which resulted in a 30% reduction of consumption of compressed air.

Key Learnings: Control technology, Hardware Simulation(HIL), design calculation, sensor technology, embedded technology, team management, MATLAB, Simulink, CST Microwavestudio, Python, Machine-learning.

Key learnings: Vehicle technology, Electrical machines, MEMS, semiconductors, Power electronics, Advance drive technology, Automotive electronics and engineering, Mechatronics system design, Industrial organisation, Manufacturing systems, robotics, MATLAB, PLC, sensors, radar technology, ADAS systems.