Botond Attila Bócsi, Developer in Cluj-Napoca, Cluj County, Romania
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Botond Attila Bócsi

Bio

Botond has 12+ years of experience in machine learning both in academia—with a Ph.D. in reinforcement learning—and industry, with a focus on deep learning and image processing. Recently, he's worked on image processing with deep convolutional networks in fields like night vision, photo style learning, frame interpolation, denoising, deblurring, image inpainting, and super-resolution. These features are being used on top-rated smartphone apps such as NeuralCam Night Photo.

Portfolio

Neuralcam
Python, Swift, TensorFlow, Core ML, Deep Neural Networks (DNNs), Deep Learning...
Rubrikk Group
C#.NET, Google BigQuery, Azure, Google Cloud

Experience

  • Machine Learning - 12 years
  • Artificial Intelligence (AI) - 12 years
  • Applied Mathematics - 8 years
  • Convolutional Neural Networks (CNNs) - 4 years
  • Deep Learning - 4 years
  • Deep Neural Networks (DNNs) - 4 years
  • Python - 4 years
  • TensorFlow - 4 years

Preferred Environment

PyCharm

The most amazing...

...implementation I've performed was developing night vision for the NeuralCam Night Photo app.

Work Experience

Machine Learning Engineer

2017 - PRESENT
Neuralcam
  • Researched and implemented various machine learning projects focused on image processing, object detection, computational photography, natural language processing, sequence modeling, and Stable Diffusion and their applicability on mobile platforms.
  • Customized AI portrait generation using Stable Diffusion. Fine-tuned the Stable Diffusion model in a fully automatized setup on AWS for the iOS app—Neural Studio - AI Avatars.
  • Worked on a night vision project with NeuralCam Night Photo and contributed to the iPhone's night vision feature for videos.
  • Contributed to an automatic artistic photo style learning available at prostyle.cam.
Technologies: Python, Swift, TensorFlow, Core ML, Deep Neural Networks (DNNs), Deep Learning, Object Detection, Computer Vision, NumPy, Keras, OpenCV, Artificial Intelligence (AI), Applied Mathematics, Optical Character Recognition (OCR), Stable Diffusion

Software Engineer and Data Analyst

2014 - 2017
Rubrikk Group
  • Developed and implemented machine learning algorithms and scaled them to be feasible on significant amounts of data.
  • Built a market price prediction of used cars available at https://kleinanzeige.focus.de/autos/volkswagen.
  • Created a salary prediction of job postings based on the description.
  • Deduplicated millions of ads in real time as part of my role.
Technologies: C#.NET, Google BigQuery, Azure, Google Cloud

Teaching and Research Assistant

2012 - 2014
Babes Bolyai University
  • Lectured labs and seminars on computational logic, web programming, operating systems, computer networks, practical issues of operating systems and computer networks, and introduction to C programming.
  • Researched on improving regression models with input noise and applications in robotics.
  • Contributed to published scientific works available at https://scholar.google.com/citations?user=Gk7hzFUAAAAJ&hl=en.
Technologies: Algorithms

Experience

NeuralCam Night Photo

https://neural.cam/
An iPhone application that can be used to make clean and bright photos in low-light situations. Using computational photography and machine learning, the images are much better than those made with the bulk camera.

BikeRoll

https://bikeroll.net/
A bike route planning website to plan bike tracks on the map anywhere in the world. People use it because of its simplicity—It shows a colored elevation profile to better understand the route's difficulty.

The site has around 10,000 sessions per month with 5,000 unique users.

Education

2009 - 2012

Ph.D. in Artificial Intelligence

Babes Bolyai University - Cluj Napoca, Romania | Tuebingen, Germany

2008 - 2009

Master's Degree in Computer Science

Babes Bolyai University - Cluj Napoca, Romania

2004 - 2008

Bachelor's Degree in Computer Science

Babes Bolyai University - Cluj Napoca, Romania

Skills

Libraries/APIs

TensorFlow, NumPy, Keras, OpenCV

Tools

PyCharm

Languages

Python, C#.NET, Swift

Frameworks

Core ML

Platforms

Azure

Storage

Google Cloud

Other

Machine Learning, Artificial Intelligence (AI), Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), Deep Learning, Algorithms, Applied Mathematics, Computer Vision, Software Development, Robotics, Google BigQuery, Computational Photography, Object Detection, Optical Character Recognition (OCR), Stable Diffusion

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