MAHAK KHARE

Motivated fresher with a strong academic background and diverse internship experiences. Excited to leverage advanced engineering principles and innovative scripting skills to contribute meaningfully to the growth and success of forward-thinking technology companies.

Innovative Project: Plug and Charge [Aug 2023 - May 2024]

• Studied ISO 15118 and DIN 70121 standards.
• Executed test cases regarding ISO15118 standard on the test bench using CAPL scripting.
• Technologies Used: Vector CANoe, CAPL Scripting Language, Python Programming Language

HIL Testing using MATLAB Simulink [Aug 2023 - May 2024]

• Built a plant model of an application "Power Window" in MATLAB Simulink.
• Integrated MATLAB Simulink with Vector CANoe by creating a .dll file for the plant model.
• Visualized the output for the plant model in Vector CANoe software.
• Technologies Used: HIL, MATLAB Simulink, Vector CANoe

Distance Calculator [Dec 2022 – Jan 2023]

• Designed and developed the distance calculator using STM32CubeIDE.
• Used HCSR04 as the input to measure the distance.
• Technologies Used: STM32, Ultrasonic Sensor

Solar Power Remote Monitoring and Controlling [Jan 2021 – July 2021]

• Built an IoT device to monitor and control solar panel.
• Optimized the motion to maximize solar energy conservation.
• Technologies Used: Arduino UNO, Python Programming Language, Solar Panel, Relay, Sensor

Automatic Water Dispenser using Arduino NANO [Jan 2020 – March 2020]

• Designed and developed an automatic water dispenser using Arduino NANO.
• Used an ultrasonic sensor to detect the presence of an object.
• Water dispenser that detects the object using an ultrasonic sensor when placed in front of it and automatically dispenses water from a storage container using a relay.
• Technologies Used: Arduino NANO, Ultrasonic Sensor, Relay

Plant Monitoring System using Bolt IOT [Sept 2018 – Nov 2018]

• Developed a system that measured the light a plant is getting.
• Programmed the system to upload the data to Bolt Cloud.
• Created visualization charts to study the intensity and pattern of the light on the plant and soil.
• Technologies Used: Internet of Things (IoT), Cloud, Soil Moisture Sensor

• NI LABVIEW Training.
• "Arduino Programming for Practical Applications" at GSSS Institute of Engineering and Technology for Women, Mysuru.
• "Sensor Applications and Circuit Simulation" at GSSS Institute of Engineering and Technology for Women, Mysuru.
• Vector CANoe software training.
• MATLAB, Simulink, Stateflow, Simscape Certification at MathWorks.
• "Introduction to AutoSAR" certification by EDUCBA at Coursera.
• "Preparing Data for Analysis with Microsoft Excel" by Microsoft at Coursera.