Berk Ersoz

Project Completion Rate: Within the scope of the Applied Python and Robotics curriculum, over 90% of high school students successfully developed their own autonomous robots or Python-based applications from scratch by the end of the semester.

I achieved a 40% increase in organic traffic for local businesses by developing SEO-friendly Next.js/Astro architectures. For an automotive company based in Izmir, I managed their digital transformation process by designing an iOS application that achieved a 99% crash-free rate and high user engagement through regular post-launch updates.

To ensure the uninterrupted operation of critical IT infrastructure, I optimized network security protocols, increasing system reliability to 99.9%. Through firewall, VPN, and IDS/IPS configurations, I proactively reduced potential cyber threats by 30% and protected data integrity.

I contributed to model training processes by monitoring the logical reasoning and coding capabilities of LLM models with over 95% accuracy. I minimized hallucinations in model responses by analyzing complex technical datasets and managed high-quality data generation in RLHF (Human Feedback Reinforcement Learning) processes.

Implemented software and hardware for a facial recognition system using Python and OpenCV. Developed a robotic glove software to assist users in improving motor skills.

Conducted research on image processing and machine learning algorithms. Involved in data labeling to enhance data quality for meaningful analysis.

Grade: 3

Activities and societies: Robotics Club, IEEE

Specialized at robotics, web and mobile development.