Site Reliability Engineer

• Worked in the public cloud team, focusing on AWS log management.• Achieved first place in the Secure Code Warrior challenge among interns in EMEA and NAMR regions.• Developed a system to enhance CloudWatch utilization and reduce costs.• Utilized AWS Lambda, CloudWatch, and AWS IAM extensively.

• Contributed to a project transforming coastline monitoring with machine learning, supported by a £600,000 UK Space Agency grant.• Led software strategy, specializing in machine learning for satellite imagery analysis.• Focused on algorithms for image segmentation and pattern recognition to optimize UK coastline modelling.

Involved in machine learning applications for satellite technology such as autoencoders and multi layer perceptron.

Served as Software Team Lead, managing the software team’s organization.

• Implemented a chatbot using NLP, enhancing front office efficiency and reducing support ticket volume.• Utilized RASA for building the chatbot, focusing on finance-specific entity recognition and conversational AI.• Applied key NLP techniques such as tokenization, NER, and intent classification to improve chatbot accuracy.

I founded the KALrobotics in my high school and became its president for 3 years. It was an experience that greatly increased my teamwork skills during high school. Our team has grown throughout the process. In this way, I gained experience working and managing in small (8-10) and medium-sized (25-30) teams. Moreover, it helped me to improve myself in Robotics and electronics. During this process, I mostly dealt with embedded software development. I had the opportunity to work with micro-controllers and microcomputers. This led me to have writing efficient code as a principle. It was an invaluable experience.

I learned about how startups are accelerated by working with the mentoring team. I had chance to observe the common mistakes that startups doing moreover, their possible solutions.