Karthik Arabandi

Address: Michigan, United States

Phone number: 248-***-****

Email address: adiuh9@r.postjobfree.com Web: https://www.linkedin.com/in/karthik-chowdhary/ Pursuing Master of Science in Electrical Engineering with specialization in Vehicle electronics and Systems engineering

Hands on experience in Sensors application testing and Automotive ECU’s Tested and validated designs in Simulink and Verilog using MATLAB Knowledge in AutoCAD, schematic diagrams and currently training on CAN tools Experience in documentation the test results of various test cases in run in MATLAB and other tools

Good problem-solving, organizing, communication and presentation skills with ability to work in team environment

Masters in Electrical Engineering

University of Michigan

GPA : 3.54

09/2019 – present DEARBORN, USA

Bachelor's in Electronics and Communication Engineering VNR Vignan Jyothi Institute of Engineering and Technology GPA : 3.4

07/2014 – 05/2018 HYDERABAD, INDIA

Electrical Engineer

LAD Technologies

Developed Electronic Schematic layout using AutoCAD/EAGLE Tested LED Software for display boards(front, back & side) to identify errors in functionality

Verified netlist for developed schematics

Cross-checked PCB layouts to check design specifications Documented functional test reports

Closely worked with production team(LED display boards) 05/2018 – 08/2019 HYDERABAD, INDIA

Jr Electrical Engineer (Intern)

Bharath Heavy Electrical Limited (BHEL)

Performed Load flow analysis and load calculations to estimate the auxiliary power consumption and corresponding operational costs Collected the spread sheets for different generator ratings and worked in a team to identify and analyze the fault conditions and report the analysis to the senior electrical engineer

Gained knowledge on SCADA and learnt how the application program works for industrial process control, gathered data in real time from remote locations to control equipment and conditions

06/2017 – 01/2018 HYDERABAD, INDIA

Languages: C, Python, Keil, Verilog, VHDL, Embedded C, Raspberry Pi Software: MATLAB, SIMULINK, SCADA, Git, Particle Workbench IDE, Visual Studio Code

Protocols: CAN(SAE J1939), LIN

Product Development Process: Agile Scrum Methodology SUMMARY

EDUCATION

WORK

EXPERIENCE

TECHNICAL

SKILLS

ACCIDENT DETECTION SYSTEM USING GPS AND GSM

System is employed using MEMS sensors, PIEZOELECTRIC sensors, GPS, GSM, Arduino micro controllers and the application of Network subsystems If the vehicle is involved in an accident, the system sends the location coordinates to the nearby police station, hospitals and noted contacts DESIGN & SIMULATION OF AN ISOLATED BIDIRECTIONAL DC-DC CONVERTER Designed a high-efficiency isolated bidirectional DC-DC converter for distributed energy storage devices (batteries)

Calculated circuit parameters by selecting suitable components that are commercially available with proper circuit topologies Simulated the model in MATLAB/Simulink

Designed a bidirectional double switch forward converter and validated in simulation software in MATLAB and Simulink

Developed the model in such a way that the power flow in the switch converter can be controlled by the direction of current flow WIRELESS COMMUNICATION BETWEEN VEHICLE TO VEHICLE FOR VEHICLE SAFETY

Facilitated V2V communication system that helps by alerting the drivers to prevent vehicle to vehicle collisions

Employed the use of RF Transceivers, Proximity sensors, Arduino controller, IOT and cloud computing the communication between V2V is established PREDICTION OF THE NOVEL COVID-19 OUTBREAK BUILD ON SIR SYSTEM Examined the data from WHO, CDC and organized the compartments such as susceptible, infected, and recovered

Designed the system in MATLAB to observe the plots/graph Explained what fraction of suspected people are infected by considering the whole population and the plots of models explains the future COVID-19 situation and estimates the cases

COMPARISON STUDY OF SUPERVISED MACHINE LEARNING TECHNIQUES APPLIED FOR THE PREDICTION

OF AVIATION DATA (Research)

Studied the conceptualization of support vector machines and neural networks in the hypothesis of machine learning

Observed the results from Ensemble methods, classification, and regression tress over set of multiple outputs

LDPC CHANNEL CODING FOR 5G NR

Deployed vehicular automation and signal health monitoring services in 5G NR Introduced the physical layer in downlink shared channel with a powerful channel coding algorithm, LDPC (Low Density Parity Check), replacing Turbo coding that was used in 4G LTE

Implemented channel coding to achieve better performance even at lower channel SNR which assures improved quality of reception Simulated the PHY Layer of 5G NR systems in MATLAB mainly focusing on performance analysis of LDPC codes and get exposure on advanced communication systems

Calculated Bit error rate of transmission after reception and the performance plot can be analyzed graphically in MATLAB

PROJECTS

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