Koray Beyaz is a freelance machine learning engineer with a B.S. in Mechanical Engineering from Middle East Technical University and an M.S. in Mechanical Engineering from Hacettepe University. He has work experience implementing sensor fusion algorithms and developing GUI and Android apps for vehicle driver evaluation and crash detection. As a freelancer, he has completed several projects involving machine learning, data analysis, and statistics. He is currently pursuing his M.S. and working on self-study deep learning projects involving image and text classification.
Making machine learning model deployment boring - Big Data Expo 2019webwinkelvakdag
The free lunch for machine learning is over. Organizations are quickly ramping up their abilities to automate and professionalize their machine learning processes and infrastructure. As a consequence organizational goals, processes and requirements put an increasing burden on teams to put machine learning models in production. We believe much of this burden relates to engineering issues, which with proper abstractions can be greatly reduced for product teams. In this presentation we will talk about the organizational context of ING and the design our Machine Learning Platform. In the first part we will sketch some organizational context and the requirements it brings. Next, we will picture the kind of use cases and user journey we have in mind. Finally, we will present how these considerations led the platform design we are currently deploying.
Making machine learning model deployment boring - Big Data Expo 2019webwinkelvakdag
The free lunch for machine learning is over. Organizations are quickly ramping up their abilities to automate and professionalize their machine learning processes and infrastructure. As a consequence organizational goals, processes and requirements put an increasing burden on teams to put machine learning models in production. We believe much of this burden relates to engineering issues, which with proper abstractions can be greatly reduced for product teams. In this presentation we will talk about the organizational context of ING and the design our Machine Learning Platform. In the first part we will sketch some organizational context and the requirements it brings. Next, we will picture the kind of use cases and user journey we have in mind. Finally, we will present how these considerations led the platform design we are currently deploying.
I am a CFA Level-1 candidate. My aim is to contribute to the quantitative finance industry through the applied mathematics skills that have been bestowed to me by my undergraduate degree in Mathematics Engineering.
Jarkko Moilanen, APInf, “Get Control of Your IoT Cruisers” - Mindtrek 2017Mindtrek
"Amount of data in IoT devices increases to new heights during the following years – we’ve just witnessed the beginning. Data lakes become oceans. Data oceans are filled with transport which so far has been “boats” capable of small scale service. Future IoT systems and ecosystems required cruise ships with a lot of services, automation and different service plans. How to manage the cruise ship? API management fits in to traditional solutions, but real-time APIs are a bit different case."
Jarkko Moilanen,
Chief APItalist, APInf Oy
International Technology Conference Mindtrek 2017
20th - 21st of September, 2017
Tampere, Finland
This powerpoints presention presents our new developed FOCAP tool (Framework for optimizing the Computer Architecture Performance) in order to gain a better understanding and familiarity of the students with new advanced learning methods and tools in the Microarchitecture Simulation and Optimization. At this stage, FOCAP allows a mono-objective automatic design space exploration (DSE) of a superscalar processor by varying several architectural parameters. Such DSE tools are very useful, since it is impossible to simulate all the configurations of a highly parameterized microarchitecture. Therefore, heuristic methods, local search algorithms and advanced machine learning methods are good candidates to find near-optimal configurations by evaluating a reduced number of configurations from the huge design space. Our application falls in the European trend of Framework projects that aim expanding research towards the advanced education field using modern learning technologies. The FOCAP tool facilitates the comprehending of theoretical questions, thus allowing students to feel more confident when studying microarchitecture optimization and DSE-related issues.
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
John Robert: Making your machine learning model usable by othersLviv Startup Club
John Robert: Making your machine learning model usable by others
Data Science Online Camp 2021
Website - https://dscamp.org/
Youtube - https://www.youtube.com/startuplviv
FB - https://www.facebook.com/Data-Science-Camp-103012708431833
I am a CFA Level-1 candidate. My aim is to contribute to the quantitative finance industry through the applied mathematics skills that have been bestowed to me by my undergraduate degree in Mathematics Engineering.
Jarkko Moilanen, APInf, “Get Control of Your IoT Cruisers” - Mindtrek 2017Mindtrek
"Amount of data in IoT devices increases to new heights during the following years – we’ve just witnessed the beginning. Data lakes become oceans. Data oceans are filled with transport which so far has been “boats” capable of small scale service. Future IoT systems and ecosystems required cruise ships with a lot of services, automation and different service plans. How to manage the cruise ship? API management fits in to traditional solutions, but real-time APIs are a bit different case."
Jarkko Moilanen,
Chief APItalist, APInf Oy
International Technology Conference Mindtrek 2017
20th - 21st of September, 2017
Tampere, Finland
This powerpoints presention presents our new developed FOCAP tool (Framework for optimizing the Computer Architecture Performance) in order to gain a better understanding and familiarity of the students with new advanced learning methods and tools in the Microarchitecture Simulation and Optimization. At this stage, FOCAP allows a mono-objective automatic design space exploration (DSE) of a superscalar processor by varying several architectural parameters. Such DSE tools are very useful, since it is impossible to simulate all the configurations of a highly parameterized microarchitecture. Therefore, heuristic methods, local search algorithms and advanced machine learning methods are good candidates to find near-optimal configurations by evaluating a reduced number of configurations from the huge design space. Our application falls in the European trend of Framework projects that aim expanding research towards the advanced education field using modern learning technologies. The FOCAP tool facilitates the comprehending of theoretical questions, thus allowing students to feel more confident when studying microarchitecture optimization and DSE-related issues.
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
John Robert: Making your machine learning model usable by othersLviv Startup Club
John Robert: Making your machine learning model usable by others
Data Science Online Camp 2021
Website - https://dscamp.org/
Youtube - https://www.youtube.com/startuplviv
FB - https://www.facebook.com/Data-Science-Camp-103012708431833
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Student information management system project report ii.pdf
Koray Beyaz Resume
1. Koray Beyaz
Freelance Machine Learning Engineer
Education
Middle East Technical University, B.S. in Mechanical Engineering – 2017, Ankara, Turkey
Hacettepe University, M.S. in Mechanical Engineering – 2017- Present, Ankara, Turkey
Important courses: Advanced Robust Control, Artificial Neural Networks, Vehicle Control.
Completed a financial time series forecasting project with Neural Network Ensembles using Keras/Tensorflow (Artifical Neural Networks
graduate course).
Open Source Contribution
Contributed to the documentation and unit tests of fastai deep learning library.
Work Experience
Long Term Software Development Intern - 2017-2018, Versus Engineering, Ankara, Turkey
Implemented sensor fusion algorithms for vehicle driver evaluation and crash detection using driving data. Developed a standalone
Matlab GUI for the same project. Developed a simple Android app that collects and mails sensor data.
Freelance Machine Learning Engineer/Mechanical Engineer 2017-Present, Freelancer.com
Completed several small sized projects on freelance platforms related to machine learning, data analysis and statistics.
Implemented machine learning algorithms for botnet detection. Utilized Keras, Bash, WireShark, netmate and scikit-learn.
Developed a product based sales forecasting model and implemented product pricing strategy for a fast food chain in Australia.
Utilized ARIMA, Prophet.
Developed a software with OpenCV/Python that combines Haar Cascade face detection with Grabcut algorithm for face extraction.
Converted R scripts to Python that use Random Forest and the Hidden Markov Model to implement a trading strategy.
Implemented K-means clustering, PCA and LDA algorithms on Matlab.
Built a classifier that classifies welding operators as experienced or inexperienced using position, velocity and angular velocity data
of welding operations.
Mechanical Engineer/ Software Developer 2018-2019, CernTech Engineering, Ankara, Turkey.
Developed a vehicle power/torque test software with wxPython/Arduino.
Internship, Arçelik Dishwasher Plant Factory, 2016, Ankara, Turkey
Internship, Bamel Machinery, 2017, Adana, Turkey
Side Projects/Self Study
Built a ResNet based classifier for Google’s Quick Draw dataset (340 classes). Utilized fast.ai and SageMaker.
Built a simple image classifier that classifies vehicle types. The model is available on: https://deeplearningmodels.onrender.com/
Developed a news scraping web application with Python/Django with REST API.
Developed web scrapers that collect the product information on Trendyol.com with Python/Scrapy and Selenium headless browser.
Working on a Chrome extension that displays the price history graphs on Trendyol.com using Javascript/CSS. Utilized AWS DynamoDB.
Completed courses on Coursera and edX: Machine Learning (Stanford University), SQL for Data Science (University of California) and
Amazon SageMaker: Simplifying Machine Learning Application Development.
Publications
A black-box device for driver performance monitoring and vehicle crash analysis, 9th International Automotive Technologies Congress
(OTEKON 2018), BURSA.
Contact Information
koraybeyaz73@gmail.com
+905533319305
https://github.com/kori73
freelancer.com/u/koraybeyaz
linkedin.com/in/koray-beyaz-773936ba/
