Portfolio - Daniel Plotkin

Daniel Plotkin

About Me

Hello! I'm Daniel Plotkin, a passionate and driven Electrical and Computer Engineering Student with a strong foundation in signal processing, systems design, and innovative problem-solving. I have over three years of professional experience working with cutting-edge technologies and tools such as AutoCAD, MATLAB, and Raspberry Pi.

I’m pursuing my Bachelor’s degree in Electrical and Computer Engineering at the New York Institute of Technology (NYIT), maintaining a 3.82 GPA. My involvement in various groundbreaking research projects, such as developing a gunshot-detecting microphone system, utilizing Raspberry Pi, complements my academic journey. This experience has deepened my expertise in hardware design, optimization algorithms, and data analysis.

I thrive in collaborative, innovative environments and enjoy tackling complex challenges. My enthusiasm for engineering goes beyond the classroom, as I constantly explore emerging technologies, participate in community events, and work on personal projects to stay at the forefront of this ever-evolving field.

Outside of my professional pursuits, I’m a (rising) competitive Yu-Gi-Oh! player & film fanatic.

Education

New York Institute of Technology

B.Sc. in Electrical and Computer Engineering

Expected Graduation: Fall 2025

Minor in Mathematics | 3.82 Cumulative GPA | Presidential Honors List

Relevant coursework: Introduction to Vlsi Design, Random Signals & Statistics, Signals and Systems, Communication Theory, Circuits II, Control Systems, Electronics II, Microprocessors & Embedded Systems, Data Structures, Operating Systems, Differential Equations.

Extracurricular Activities:

  • Member of IEEE.

Skills

  • Language: Intermediate in Russian; Fluent in English.
  • Software/Hardware: AutoCAD, Revit, MATLAB, Raspberry Pi, Adobe Creative Suite, Microsoft Office Suite, Microsoft Projects, Bluebeam Revu.
  • Programming: Java, Python, C, Assembly.
  • Other: Excellent teamwork and project management skills; adept at troubleshooting and problem-solving complex systems.

I continuously seek opportunities to enhance my technical and soft skills through hands-on projects and advanced training programs.

Work Experience

NYIT – Research Assistant

Supported a project on developing a gunshot-detecting microphone using Raspberry Pi, focusing on signal processing, detection accuracy, and real-world testing scenarios.

WSP – Electrical Engineering Intern

Participated in the design and modification of electrical systems for buildings, renewable energy setups, and smart grids.

  • Created detailed AutoCAD designs for commercial and industrial projects.
  • Conducted energy audits and prepared optimization recommendations.

Lecron Inc. – Assistant Electrician

Directed a team of electricians in the assembly of electrical panels and troubleshooting systems in both residential and commercial settings.

  • Streamlined panel assembly processes, reducing time by 20%.
  • Ensured adherence to safety standards during installations and repairs.

Projects

3D Sound Source Localization and Camera Orientation

Objective: To estimate the position of a sound source in 3D space using Time Difference of Arrival (TDoA) measurements and orient a camera to face the source.

Key Features:

  • Simulates TDoA values for sound sources using known microphone positions.
  • Uses nonlinear least squares optimization to estimate the 3D sound source position.
  • Calculates the direction and angles (azimuth and elevation) for the camera to point towards the sound source.
  • Visualizes microphone positions, the sound source, and the camera orientation in a 3D plot.

Technologies Used:

  • Languages: Python
  • Libraries: NumPy, SciPy, Matplotlib

Resources:

Outdoor Gunshot Detection System

Objective: To develop a real-time gunshot detection system using Raspberry Pi and TDoA algorithms, focusing on accuracy and environment-based modeling.

Key Features:

  • Sound modeling based on environmental factors using software like ODEON.
  • Implemented and optimized Gunshot Detection and TDoA algorithms for improved detection accuracy.
  • Proof of concept demonstrated with Raspberry Pi running real-time TDoA algorithms.
  • Designed hardware communication protocols, including ethernet, fiber optics, and 5G options for microphones.
  • Developed user interfaces for police reporting and camera controls.

Technologies Used:

  • Hardware: Raspberry Pi, high-sensitivity microphones
  • Software: Python, MATLAB

Timeline:

  • Sound/gunshot modeling and environment simulation.
  • Algorithm development and testing.
  • Hardware integration and field testing.