Currently employed full-time @eBay as a Backend Software Engineer. I specialize in Java, Python and Typescript and have professional experience with Spring Boot, Keras, Kubernetes, Angular, React and PHP. I have graduated with a Master's Degree in Computer Science at Politecnico di Milano. I believe I can adapt to different environments and tech stacks easily, thus I have experience with working with new technologies, monolithic systems, and microservices. I also enjoy reading tech books, watching conferences and I try to apply the principles learned from them to my code.
I am currently working as a full time employee at eBay. My work includes design and implementation of eBay Ads services. Some of the work I took part include:
Used Languages/Libraries/Technologies include:
Java, Spring Boot, Oracle DB, ReactJS, OpenSearch
I was working as a freelancer, helping companies and startups build the products they need. Some of my work include:
One prominent example of such calculators is, during the COVID-19 crisis, I have created calculators that allow people to calculate their needs regarding high demand products, such as toilet paper and hand sanitizer. I was later informed that those calculators were used by thousands of people worldwide.
Created a pipeline to enhance images and collect relevant product information with image processing, computer vision, machine learning, deep learning, SVM and random forests.
Also, I took part in development of some components and infrastructure tools for Business Intelligence.
Used Languages/Libraries/Technologies include:
Python, Google BigQuery, RabbitMQ, Keras, scikit-learn (for SVM and RF), OpenCV
I took an active role in improving varying microservices and modules of the infrastructure as a full-stack engineer (with a flavor of DevOps on Kubernetes).
Used Languages/Libraries/Technologies include:
NodeJS, Angular, Typescript, PHP, Redux, Mocha, Sinon, K8S, GCE, RabbitMQ, Google BigQuery, MongoDB, Redis
I developed an app for search optimization and cluster management.
Used Languages/Libraries/Technologies include:
NodeJS, ExpressJS, Angular, PassportJS, Apache Solr
I have worked on a multisensor data fusion project by developing a simulation and middleware compliant to the OMG DDS (Data Distribution Service) standard for communication between different nodes.
Used Languages/Libraries/Technologies include:
I helped fellow engineering candidates from different departments to have a better grasp of C in the scope of METU CENG230 (Introduction to C Programming) course.
Final average: 26.5/30
I have graduated from my studies at Milan Polytechnic University (Politecnico di Milano) in 2022, specialized in Machine Learning.
Even though the project was meant to be left at the prototype phase, the steps taken to plan and implement the whole project has been significant regarding the requirements’ elicitation, design and implementation phases.
The course was mainly graded based on the effort we put into identifying requirements, preparing the design document, implementing the project and acceptance testing another project of our peers.
cGPA: 3.54
I have graduated from METU CENG with a High Honor degree, and a ranking of 13 out of 207 students.
I took many courses during my studies in the METU CENG department from basic CS courses to Spanish and Psychology, and listing all here would be unnecessary. However, some highlights that made me a better developer are:
Especially the ideas behind Haskell have amazed me since it was my first encounter with a language that doesn’t inherit C-style programming (even if one might argue some aspects of Python) or doesn’t follow an imperative (also object-oriented) mind set of thinking about code. Another aspect was the idea of pure functions (Monads or IO was out of the scope of the course) and the type system. I was familiar with the idea that using functions one can emulate the same process of a Turing machine according to the Church-Turing hypothesis, however realizing there is a large ecosystem based on Church’s ideas has also been an important revelation.
I have also learned about the scope resolution of different OOP languages and different types of argument passing used in different languages. I have also learned about how C arrays have a weird quirk about whether they are a type or not in the language’s type system and what lazy evaluation is.
The homework given for this course have featured some of many creative tasks that I have seen in my academic career, reading a binary program to defuse a bomb, hacking a binary using buffer overflow and return oriented programming, optimizing matrix multiplication to use available caches and increase its speed at least 4 times.
Also in this course I have learned about processes, threads and synchronization between those. This has contributed a better understanding to me about how locks and semaphores work. Furthermore, I have enjoyed reading and solving the problems in Little Book of Semaphores, and the MINIX book by Andrew S. Tannenbaum afterwards (even though I never got to finish it).
Before taking this course I had fairly good knowledge about different high-level protocols, like HTTP(S), FTP, SSH, Telnet, etc. and a faint idea on how the internal mechanisms worked. During this course I had the opportunity to learn how each networking layer functions, various different protocols and their efficiencies. As a Computer Engineering course, the course had some details on how the low-level signal is transmitted from the cable but obviously we didn’t dive deep into the specifics of the physics (I was told that Electronic Engineers have a more comprehensive course on that).
With this course, I was able to understand the current implementations of some widely used protocols like TCP, UDP, IP, DHCP. The understanding allowed me to better evaluate current technologies we have, have a better understanding of networking components of cloud systems and their security and decreased the entry barrier for understanding new standards of protocols like HTTP/3.
This course (also known as the graduation project) has allowed me to use the things that I have learned by myself and during my internship at Stylelounge to create a product with a team of fellow senior students. The main aim of the course was not to deliver a production-ready app but just to create an MVP to showcase the product. For the details of the project you may visit the project’s page here.
With this course I had my first challenge on being part of a team and discussing architectural choices for a greenfield project for the first time. I have built greenfield projects before in my life (especially for METU YES and Stylelounge) but the scope was limited to a few components, and the team size of those projects were 1 (myself) with occasional discussions with my fellow engineers and my supervisor.
Within this course I was asked to implement decision trees using different entropy functions, pre-pruning and post-pruning methodologies; neural networks using different error functions and layouts; support vector machines with different kernels and cross validation methods.
I also had the opportunity to be a part of a team of 4 to tackle a real life problem that we chose. We chose to build a news article classifier after observing how many misclassifications Turkish newspaper networks have for their articles. We created a recurrent neural network using vectorization of words in the article as input, which performed better than manually selected labels provided by 2 different sources of Turkish articles.
During my time at METU I took an active role in many student societies and hosted some events regarding those. Some societies I have participated in:
During my time in the society I got to know many people from my university and from the entrepreneurship ecosystem in Turkey. Furthermore, I have gained experience in creating and developing web solutions and learned from my mistakes (including accidentally wiping an SQL database with a wrong query on production 😅 ). I have further described my experience with those here: TODO
The articles that I wrote (in Turkish) during my undergraduate studies can be found here.
Graduation Grade: 88.13/100
I was placed at the top %0.1 in the university entrance examination in 2014.
During my high school years I have participated in various MUN and EYP conferences (TIMUN'11, MUNESCO'11, TIMUN'12, SAIMUN'13, OLUF'13). I was also a member of the Biology Olympiad Team of my school for 2,5 years.
Current CDO of WunderMobility, former CDO of Stylelounge
Current Member of Investment Committee at Curious Capital, former CTO of Stylelounge
Recommendation letter available on request.
Current Director of Engineering at Udemy, former Head of Product Development at eBay (Gittigidiyor)
Technical Lead at ESENSI (Sierra Nevada Corp. Turkey)
Recommendation (in Turkish) available in my LinkedIn.
The topics that interest me professionally are system architecture design, DevOps, machine learning, data analytics and scripting languages.
Apart from the professional life; I am currently learning neuroscience and philosophy (Nietzsche is my favorite), I enjoy watching documentaries and sitcoms (mostly through Netflix), I listen to podcasts over Spotify (I would recommend Command Line Heroes and The Economist Radio) I play tennis and go skiing whenever I find the time for it.
My native language is Turkish, I am proficient in English (TOEFL: 113/120), I know Spanish enough to understand the language (B1), and I have a basic knowledge of German (A1) and Italian (A1).
I enjoy coding in Python, have a love/hate relationship with Javascript, however enjoy coding in Elm whenever I can. Think that I’m also fairly good at C, SQL and Java. I am interested in learning different programming languages, and would be fairly excited about any job opportunities if they were to include Rust, Go or C# other than previously mentioned languages.
I have also completed courses regarding robotics and learning from Coursera and edX.