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At the Kernel 🧠 | Embedded & IoT📡 | VLSI💡| Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Gesture_Controlled_Car
February 11, 2025 – March 2, 2025
Gesture_Controlled_Car — GitHub repository
View ProjectWiFi-Controlled-Car
February 1, 2025 – February 1, 2025
A NodeMCU ESP8266-based WiFi-controlled car project. Uses an L298N motor driver, DC motors, and a mobile app for remote control. This project demonstrates IoT-based robotics and real-time wireless vehicle control.
View ProjectMPU6050-3D-Visualization
February 1, 2025 – February 1, 2025
A project using the MPU6050 sensor to capture real-time motion data and create a 3D model visualization on a webpage. The project covers sensor integration, data processing, and rendering motion-based 3D models.
View ProjectDSCH-MW
January 31, 2025 – February 1, 2025
Digital logic gates designed and simulated in DSCH and Microwind. This repo showcases CMOS-based gate designs, layout implementations, and simulations to understand VLSI circuit behavior. Includes basic gates, NAND/NOR logic, and a design challenge.
View ProjectESP-NOW-Protocol
January 26, 2025 – February 1, 2025
A simple ESP-NOW-based communication setup with ESP32/ESP8266 devices. The repo includes code for both sender and receiver, with circuit diagrams and step-by-step instructions to wirelessly control devices, such as an LED, using ESP-NOW. Ideal for IoT applications requiring low power, low-latency communication.
View ProjectCultural Fit Analysis
The candidate exhibits a strong inclination towards personal projects, demonstrating initiative and self-driven learning. The projects span various domains including IoT, robotics, and VLSI, which suggests a broad interest in engineering challenges. While the target role is 'Machine Learning', the current projects are heavily focused on embedded systems and hardware, indicating a potential gap in direct ML experience. However, the underlying skills in data processing and system integration could be transferable. The breadth of projects suggests a willingness to explore different technical areas.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and problem-solving. The diversity of projects, from robotics to VLSI, suggests adaptability and a broad technical curiosity. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity in a professional setting cannot be fully assessed.