THEODOROS PAPAIAKOVOU
-| https://linkedin.com/in/theodoros-papaiakovou | +1 - | www.teopap.com
EDUCATION
University of California, Los Angeles (UCLA), Los Angeles, CA| M.S. in Electrical and Computer
Engineering | GPA 3.540
The University of Edinburgh, Edinburgh, UK| BEng (Hons) Electronics and Electrical Engineering
First Class degree (1:1), Ranked 5th in program | Student exchange program at UCLA with GPA 3.473
Expected, December,-
SKILLS
Python, Machine Learning, Deep Learning, Audio Signal Processing, Image Processing, Computer Vision, PyTorch, TensorFlow, Prototyping, UI
Design, Unity, Embedded Systems, Microcontrollers, Adaptability, Time Management, Team Work, Communication, Leadership, Research
WORK EXPERIENCE
PolyDesign
London, UK
PRODUCT DEVELOPER
05/2023 - 09/2023
Produced a Python prototype generating virtual furniture using stable diffusion achieving 1st place in university startup pitch competition
Setting up AI interior design software web application using cloud solutions such as MS Azure for first 1000 customers
Freelancing - MotorOil
Athens, Greece
SELF EMPLOYED CONSULTANT
06/2022 - 05/2023
Created supervised annotation software to perform OCR on oil distillery drawing pdfs to automatically extract mechanical joint
information in an Excel file reducing manual annotation time by 99%
Designed a user-friendly GUI in collaboration with annotators to enable efficient verification and adjustment of algorithm results,
resulting in 0% error rate and an increase in productivity
I2S - AquaManager
Athens, Greece
JUNIOR COMPUTER VISION & MACHINE LEARNING ENGINEER
11/2021 - 06/2022
Collaborated with a research and development team of 2 engineers and 2 marine biologists to develop a smart camera product utilizing
computer vision algorithms to optimize biomass production in aquaculture (Image Classification, Semantic Segmentation, Instance
Segmentation, Video Classification, Self-training pipelines, Custom Annotation Software)
Designed electronic circuits and 3D printed cases for electronics and structural components concerning 3 projects
Presented technical solutions to more than 5 international clients and wrote reports on company's data logger systems
The University of Edinburgh
Edinburgh, UK
ELECTRICAL ENGINEERING INTERNSHIP
06/2021 - 08/2021
Developed a working ML based Direction of Arrival estimation algorithm and implemented it in a Linux edge device
Created a user-friendly graphical user interface (GUI) for demonstration and data acquisition in Python
Devised a 3D printed rotary stage, controlled by a stepper motor to floating point precision (1/16th of a degree) using an Arduino
electronics circuit programmed in Arduino Language (C++ flavor)
PERSONAL PROJECTS
CLASSMATE
Los Angeles, CA
Team Leader
04/2023 - 06/2023
Constructed an AI class planning assistant accelerating construction of a personalized class schedule for students by 60%
Facilitated human - AI collaboration by formulating one user interface (UI) in PyQt5 using interactive design principles
Established a sentence transformer AI assistant to rank courses based on user's prompt
AUGMENTED REALITY FITNESS ASSISTANT
Los Angeles, CA
Team Leader
01/2023 - 03/2023
Devised an AR fitness assistant in the Unity game engine for Oculus Virtual Reality headset while leading a team of 3
Performed user study with interviews and likert scale questionnaires, analysed results and figured usability of 3 different teaching
methods
VIDEO GAMES TARGET GENERALIZATION
Los Angeles, CA
Team Project
10/2022 - 12/2022
Constructed ML model building, training and evaluation pipeline parametrized by a JSON configuration file
Trained a Recurrent CNN with LSTM layers to imitate human aiming and shooting on first person shooter video game target
Implemented one-shot transfer learning to generalize NN agent to previously unseen targets using only 1 human demonstration
DNN FOR MICROPHONE ARRAY DIRECTION OF ARRIVAL ESTIMATION
Individual Project
Introduced a novel deep learning DoA estimation algorithm, relaxing training data requirements by a factor of 6
Applied audio signal processing techniques such as beamforming on an embedded Linux microphone array
Optimized machine learning models to improve performance to real-time (<100 ms per iteration) working prototype
Wrote a research thesis presenting project methodology and evaluated results and findings of experiments in LaTex
Edinburgh, UK
10/2020 - 05/2021
