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Entry-level Electrical Engineer with hands-on ARM Cortex-M3 embedded systems and Python programming
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Assessing your cultural and operational fit
Electrical Engineering student with hands-on ARM Cortex-M3 embedded systems experience and Python programming skills seeking ARM Hardware/Embedded Internship to contribute to firmware development, testing automation, and embedded solutions.
KLE Technological University
B.E. · Electrical and Electronics Engineering
August 1, 2021 – June 30, 2025
JSS R S Hukkerikar PU College
XII Standard
N/A – May 31, 2020
Adarsh Vidhyalaya
SSLC
N/A – May 31, 2018
EV Charge Monitoring and SOC Estimation
January 1, 2021 – January 1, 2025
Developed embedded C firmware for 3S Li-ion battery pack SOC estimation. Achieved 95% estimation accuracy through code optimization techniques. Implemented hardware prototype with real-time ADC-based monitoring. Reduced estimation error by 20% using data preprocessing and filtering.
IoT Battery Dashboard
January 1, 2021 – January 1, 2025
Created real-time dashboard for battery metrics visualization. Automated data collection and optimized data flow for reliability.
Battery SOH Prediction System
January 1, 2021 – January 1, 2025
Developed neural network model for Li-ion battery health prediction. Performed feature extraction using Pandas and NumPy libraries.
RTOS-Based Environmental Monitoring System
January 1, 2021 – January 1, 2025
Designed RTOS application for soil moisture and CO2 sensor monitoring. Implemented multi-tasking with 4 concurrent tasks and LCD display. Optimized task scheduling for efficient CPU utilization.
EV Battery Management System with Fire Protection
January 1, 2021 – January 1, 2025
Built charge level and temperature monitoring firmware in embedded C. Implemented threshold-based fire protection alert system.
Data Analytics Virtual Internship
Deloitte Australia
June 1, 2026 – Present
Best Minor Project Award - EV Charge Monitoring System
Unknown
June 1, 2026 – Present
RTOS and Embedded Systems Certifications
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong focus on embedded systems and EV technology, which aligns well with roles in these areas. The diversity of projects, from low-level firmware to data visualization, indicates a broad technical interest. The 'Data Analytics Virtual Internship' suggests an openness to exploring related fields, which can be a positive for cross-functional collaboration. However, the lack of professional experience makes it challenging to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems and optimize solutions. The 'Best Minor Project Award' suggests a drive for quality and recognition. However, without direct work experience or psychometric test results, it's difficult to fully assess soft skills like teamwork, communication in a professional setting, or stress handling.