Hi, It's Mehmet
I'm
I'm a dedicated developer and security expert focused on creating intelligent AI solutions and ensuring digital systems are safe from modern threats. Explore my projects and talents to see my work in action.
I'm a dedicated developer and security expert focused on creating intelligent AI solutions and ensuring digital systems are safe from modern threats. Explore my projects and talents to see my work in action.
Hello! I'm Mehmet Palak, a tech enthusiast passionate about the intersection of artificial intelligence and cybersecurity. My journey is driven by a simple philosophy: you cannot truly secure what you do not understand how to build. As an aspiring AI Software Developer, I focus on creating intelligent systems and applications that can solve complex real-world problems. This 'builder' mindset gives me a deep understanding of software architecture and logic. As a Red Teamer, I switch to a 'breaker' mindset. I use offensive security techniques to find and exploit vulnerabilities, helping to make systems more resilient against modern threats. I am currently honing these skills through my studies in Management Information Systems (MIS), which bridges the gap between complex technology and strategic business goals. I am a lifelong learner, constantly exploring new tools, and eager to apply my skills to challenging projects.
My expertise lies in offensive security (Red Teaming) with a strong focus on web and mobile application penetration testing. I utilize OWASP Top 10 methodologies for both web (SQLi, XSS, SSRF) and mobile (insecure data storage, reverse engineering). I also conduct network vulnerability assessments, Active Directory penetration testing, and social engineering simulations. I am proficient with tools like Burp Suite, Metasploit, Nmap, and Ghidra to find, exploit, and report on critical security flaws.
I specialize in building and deploying end-to-end machine learning models. My technical focus is on Deep Learning (using TensorFlow and Keras) for computer vision (CNNs) and Natural Language Processing (Transformers, RNNs). I have strong experience in classical ML (using Scikit-learn) for predictive analytics, such as regression and classification. I am proficient in Python and its data science stack (Pandas, NumPy, Matplotlib) for data preprocessing, feature engineering, and model evaluation.
