Vighnesh Nilajakar

Electronics & Communication Engineering student specializing in embedded systems, edge-AI, and firmware development.

Passionate about building innovative solutions at the intersection of hardware and AI. Currently exploring microcontroller programming, IoT systems, and intelligent edge computing.

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About Me

I'm an Electronics & Communication Engineering student in my 7th semester at Maratha Mandal's Engineering College (MMEC), VTU, with a CGPA of 7.5. I actively keep up with emerging technologies to understand how they work, which helps me design high-level technical architectures, build efficient projects, and integrate new innovations effectively.

My passion lies in firmware development, microcontroller programming, and edge-AI integrations. I'm particularly interested in building wearable prototypes, IoT systems, and exploring how artificial intelligence can be deployed efficiently on resource-constrained devices. I believe in learning by doing—rapid prototyping and hands-on experimentation are core to my approach.

Location

Belagavi, Karnataka

Education

B.E. ECE (2026)

CGPA

7.5 / 10

Technical Skills

A comprehensive toolkit built through hands-on projects and continuous learning

Embedded & Firmware

C ProgrammingPythonArduino/ESP32Raspberry PiGPIOSPII2CUARTTimersSensors

Edge & AI Interface

Local LLMsAI Prompt WorkflowsGemini AI APIProductivity AutomationEmbedded Data Streaming

Systems & Tools

Linux CLIShell ScriptingGit/GitHubFirebaseMySQLAI Tools

Web & Prototyping

HTMLCSSJavaScriptHugoResponsive DesignGitHub Pages

Featured Projects

A selection of projects showcasing my expertise in embedded systems and edge-AI

ChartGPT

AI-based data visualization tool using Firebase Auth, Google Charts, and Gemini AI API. Demonstrated embedded-to-cloud integration at Hack2Intern. Built with vanilla HTML, CSS, and JS.

FirebaseGemini AIGoogle ChartsWebJavaScript

Code View Live

Student Innovation Club Website

Developed and deployed a Hugo + Firebase-based website supporting event management and documentation workflows.

HugoFirebaseWeb Development

Code View Live

ESP32-CAM AI Assistant

Built a wearable prototype using ESP32-CAM for real-time image/audio capture and AI inference, enabling interactive voice-visual responses.

ESP32Computer VisionAI InferenceIoT

Code

Wheelauther - WiFi Security Research

A forked version of code Deauther using ESP8266 to understand WiFi vulnerabilities. Built 2 sets of motor drivers to control the module and increase attack strength/vector. Studied 802.11 deauthentication packets and protocol vulnerabilities via custom firmware.

ESP8266NetworkingSecurityFirmwareIoT

Code