
e030_Khushi_ Pande
@e030_khushi_pande
Electronics and telecommunication engineering undergraduate at Team Aryans Racing, who designed embedded vehicle data acquisition systems for real-time performance monitoring.
What I'm looking for
At Team Aryans Racing, I designed and implemented embedded data acquisition systems for real-time vehicle performance monitoring, integrating sensors through SPI, I2C, and UART.
I assembled and tested prototype hardware, debugging circuits and wiring to support reliable data capture under real-world conditions. I also applied automobile engineering fundamentals to sensor placement and data logging strategy.
For the Vehicle Data Acquisition Systems project, I developed an RPM and speed logger with UART data transfer and an I2C-based acceleration measurement setup.
I'm currently developing a vision-based hazard and person detection system for a search-and-rescue rover. I trained and evaluated a YOLO11n model on a custom six-class dataset, achieving 0.45 mAP@0.50 on the validation set, and am working on GUI integration and inference benchmarking.
Experience
Work history, roles, and key accomplishments
Data Acquisition Head & Powertrain Member
Team Aryans Racing
Jan 2025 - Jan 2026 (1 year)
Designed and implemented embedded data acquisition systems for real-time vehicle performance monitoring. Assembled and tested prototype hardware, debugged circuits, and collaborated with cross-functional teams on electrical integration and validation.
Education
Degrees, certifications, and relevant coursework
Government College of Engineering, Chhatrapati Sambhajinagar
B.Tech, Electronics & Telecommunication Engineering
2023 -
Grade: 8.43 CGPA
Pursuing a B.Tech in Electronics & Telecommunication Engineering with a CGPA of 8.43.
Jawahar Navodaya Vidyalaya, Amravati
SSC and HSC, General Studies
2015 - 2022
Grade: SSC: 93%, HSC: 94.5%
Completed secondary and higher secondary education with 93% in SSC and 94.5% in HSC.
NVIDIA Deep Learning Institute
Certificate, Deep Learning
Completed the NVIDIA Deep Learning Institute course on Getting Started with Deep Learning.
NVIDIA Deep Learning Institute
Certificate, Data Science
Completed the NVIDIA Deep Learning Institute course on Accelerating End-to-End Data Science Workflows.
Availability
Location
Authorized to work in
Salary expectations
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