Leading the team of AI/ML/Python developers o Develop front-end and back-end website applications and design, implement, and test software and machine learning algorithms.o Created serverless and microservices architectures using AWS Lambda and API Gateway.o In depth knowledge of Agile software development life cycle.o Proficient in computer vision and deep learning.o Work on distributed programming, operating systems, computer networks, and database system

o Detected online scam crypto pages using machine learning with 100% precision and >95% recall.o Designed a robust classifier for malicious documents detection using machine learning and deep learning with >90% precision and recall.o Employed prompt engineering and LLMs for data augmentation task for Business Email Compromise model.

o I work as an AI Engineer focused on automating the lead generation system.o My role involves researching and leveraging the latest technologies to develop efficient and innovative solutions.o By integrating cutting-edge AI techniques, we aim to optimize the lead generation process, ensuring it is both effective and scalable.

Worked on three different clients: Telecom Italia (Italy's largest telecommmunications service provider), Yapi Kredi (Fourth largest publicly owned bank in Turkey), and Axa (French multinational insurance company). o Understood the business needs and operations of the client. o Performed exploratory data analysis using SQL and Python to understand the data and gauge its accuracy.o Generate AI based intelligent pairing of agents and customers using Afiniti's statistical models At Afiniti, I worked on three different clients: Telecom Italia (Italy's largest telecommmunications service provider), Yapi Kredi (Fourth largest publicly owned bank in Turkey), and Axa (French multinational insurance company). o Worked with a wide array of teams including data engineers, production support, and client services to ensure seamless delivery of our AI based solutions.

o Detected online scam crypto pages using machine learningo Designed a classifier for malicious documents detection using machine learning and deep learningo Data Annotation. Data Augmentation. Production Monitoring.o Worked on cross-region building counting from satellite imagery.To minimize the domain gap, we employed the following techniques:o Ranking within an Imageo Ranking across Imageso Output Space Adaptation