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I am a recent B.Sc. Software Engineering graduate from Braude College of Engineering, where I was honored to be on the Dean’s List and finished with an 89/100 GPA.
My expertise lies at the intersection of hardware and software. While I have experience building full-stack applications, my focus is on low-level development, including embedded systems, IoT, and Linux kernel drivers. I primarily work with C, C++, and Python to build efficient, real-time solutions.
I am currently seeking an entry-level role in Embedded, Firmware, or Low-Level Software Engineering, where I can tackle complex, hardware-adjacent challenges.
Git
JavaScript
HTML
React
Next.js
Tailwind CSS
VSCode
Vercel
Firebase
MongoDB
Python
Pytest
FastAPI
Gemini
LangChain
Tavily
JSON
Beautifulsoup
Pandas
Matplotlib
NumPy
Google Colab
Hugging Face
Requests
gTTS
Spyder
Java
JavaFX
OCSF
MySQL
C
C++
ESP32
Arduino IDE
GCC
Strong DIY Spirit
Fast Learner
Hard Working
Diligent
Proactive
Organized
Disciplined
Team Player
Dean's Excellence List (1 Year)

Description: An STM32 Nucleo-L073RZ based air quality monitor

Description: Low-level Linux device driver designed to capture and process hardware GPIO signals. Built utilizing kernel interrupt requests (IRQs) and custom debouncing logic, ensuring stable, low-latency communication between raw hardware peripherals and the operating system.

Description: A locally-hosted AI smart speaker built on a Raspberry Pi Zero 2W using Ollama, faster-whisper, and Piper TTS.

Aug 2025 - Present
Description: An automated, Wi-Fi-connected circadian lighting system using multiple ESP32 microcontrollers and WS2812B RGB LED strips, utilizing MQTT Protocol. The lights automatically adjust their color temperature throughout the day to match natural light cycles, promoting a healthier sleep-wake rhythm. It does it by the server contacting an NTP (Network Time Protocol) Server to get the local time and broker sending the instructions to all other clients.
Aug 2025 - Present
Description: Synthetic News is a news site that automatically generates a concise podcast episode every week. It utilizes AI agents to conduct research, write scripts, and create the final audio file, thereby saving listeners hours of reading and browsing the internet.

Jul 2025 - Aug 2025
Description: A proof-of-concept chatbot that uses Hugging Face Transformers for emotion classification of user input, dynamically adjusting its own “mood” in response. Detected emotions were amplified (e.g., +0.25 intensity) and decayed over time per message, allowing the bot’s tone and phrasing to shift in a way that loosely mirrored the user’s emotional state. The goal was to explore how machine learning can drive emotionally adaptive dialogue.

Apr 2025 - Jun 2025
Description: A simple and reversable Python script that organizes the files in your downloads folder by sorting and sending them into the right user folders by file types. (e.g: .mp3 -> Music)
Whether you're hiring, building something exciting, or just want to say hello, I'm always open to new opportunities and meaningful collaborations. Feel free to reach out. I’d love to hear from you!
daniel.feldman.contact@gmail.com
Israel, Northen District