Oct 2024 – Mar 2025 · 5 mos · Dublin, County Dublin, Ireland · Remote

• Creating Conversational AI solutions with most realistic TTS!

Jul 2023 – Apr 2024 · 9 mos

• Co-founded and acted as CEO for our Healthcare AI startup, Focused on streamlining healthcare by automating routine clinical tasks.
• Developed Gastroenterology specific LLM based on Llama-1 then Llama-2 utilized RAG / Prompt engineering / Chain of thoughts.
• Processed and prepared thousands of Medical articles, implemented FAISS for RAG and vLLM for inference.
• Built our web interface and served it over AWS with Redis for load balancing.
• Had 200+ Gastroenterologists for our closed beta

Jun 2023 – Oct 2024 · 1 yr 4 mos · Dublin, County Dublin, Ireland · Remote

• Trying to crack Web Accessibility
• Created the Accessibility Testing SDK
• Worked on both testing suite integrations and also output formats in HTML / JSON
• Created Telemetry for the Testing SDK usage with Datadog

Mar 2021 – Jun 2023 · 2 yrs 3 mos

• Title change with the same job as Solutions Engineering

Aug 2020 – Mar 2021 · 7 mos

• Software Engineering job with a focus on advertisement business & client facing.
• Developing products for better advertisement outcomes, specifically focusing on Conversion API Gateway product.

Oct 2019 – Aug 2020 · 10 mos · Ankara, Turkey

• Orientis AI is a freshly founded AI centered Startup works on many different aspects of the AI. It's also the parent company of the Algomedicus.
• We provide AI-based software solutions to companies(AI as a Service). Our focus areas are Medical Simulation, Fraud Detection, Natural Language Processing, Automation, IoT & Big Data, and Quality Assurance Systems.
• I was one of the first 2 employees of the Orientis, I started with detecting lung diseases from X-rays for 14 different diseases and then converted the ongoing effort to detecting covid-19 from x rays. Later, Iworked on detecting covid-19 from Thorax CT images and crowd density estimation. I mainly contributed in model development and software engineering part of the projects.

Oct 2019 – Aug 2020 · 10 mos · Ankara, Turkey

• Algomedicus is the sub company of Orientis AI which focus on the medical sector solutions. We bring AI to medical field.
• I was one of the first 2 employees of the Algomedicus, I started with detecting lung diseases from X-rays for 14 different diseases and then converted the ongoing effort to detecting covid-19 from x rays. Later, Iworked on detecting covid-19 from Thorax CT images and crowd density estimation. I mainly contributed in model development and software engineering part of the projects.

Jul 2019 – Oct 2019 · 3 mos · Hamburg Area, Germany

• I'm a part of User Location Intelligence Team. As a team, we are trying to create values from location data of the users. We are developing machine learning systems for store visit attribution to create another dimension of Yelp advertisement measures. We are helping to prove the effectiveness of Yelp advertising for driving in-store visits from consumers.
• Personally, I automated redshift table snapshotting and this reduced the bias which is created from data sources. It's on production. Also, I'm responsible for detailed analysis of Photo Uploads to enchance our model with photo uploads

Jun 2018 – Aug 2018 · 2 mos · Gent Area, Belgium

• Showpad is a sales enablement platform. They are focusing on to create best buyer experience. Their product is a strong solution for marketing and sales.
• I worked in data science team at showpad. In 3 months, we developed a recommendation engine for showpad from scratch. Our engine is using both collaborative filtering and content-based approaches. I mainly focused on content-based recommendation.
• I researched many algorithms for content-based recommendation and implemented Latent Semantic Analysis and Latent Dirichlet Allocation for our engine. We also created an internal tool for our recommendation engine. I coded backend of this tool in node.js and we coded frontend of this tool in react.js
• Developed Showpad’s recommendation engine from scratch in 3 months as a team of four.
• Researched and implemented Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation for content-based recommendation and semantic extraction with python and Elasticsearch.
• Implemented the backend with node.js of the recommendation engine and helped the front-end with React
• Dockerized everything and prepared it for production. Shipped it to Kubernetes.

Jan 2018 – Jun 2018 · 5 mos · Ankara

• Somera is a social media analysis company. We scan the various social media websites such as Twitter/Instagram/eksisozluk/news portals etc. We gather all the data process & analyze them. We are handling billions of comments every day. We create insights from comments with using NLP techniques and for now, Somera mostly works on the text data.
• In Somera, I'm working in the Image team. We are working on the image side of the Somera. During my internship at Somera, I developed a face recognition application in Python by using Machine Learning libraries. Now, I'm implementing this application to the pipeline of Somera for Turkish Celebrities. We are developing in python and using various Machine Learning & Deep Learning libraries.
• We are also working on Logo recognition & Text recognition(OCR).

Jul 2017 – Aug 2017 · 1 mo

• developed a face recognition program with python.