Are you looking for a Machine Learning Engineer who combines technical expertise with a passion for web development? Someone who doesn’t just build ML models but integrates them into fully functional, user-friendly projects?From the very beginning of my university journey, I wanted to gain industry experience early on. While many peers waited until graduation to start looking for internships, I took a different approach and started seeking internships during my 4th and 5th semesters, ensuring that by graduation, I already had relevant industry experience.My first internship was as a MERN Stack Developer at Elite Apex Solutions, where I gained hands-on experience in both front-end and back-end development. I worked with ReactJS, Node.js, and with both the MongoDB and Firebase. After this, I worked part-time as a Web Development Instructor at Peace Computer College, refining my skills further (trust me, teaching is the best way to learn 😉—you never know who’s going to ask you what and when, so you better come fully prepared 😂).Then came the breakthrough moment—AI took the world by storm, and technologies like ChatGPT sparked my curiosity. I realized that Machine Learning was the field I wanted to pursue. That same semester, my university introduced Machine Learning as a subject, and I dove into it headfirst. I excelled in the course, and my professor, recognizing my dedication, offered me a Teaching Assistant (TA) position.While working as a TA, I continued learning and deepened my expertise in Deep Learning, a field that fascinated me. This combination of teaching and hands-on learning solidified my decision to pursue a career in Machine Learning.After graduating, I secured an internship as a Machine Learning Engineer at Smart Zone Leaders, where I worked on real-world ML projects. In just 1.5 months, my hard work was recognized, and I was offered a full-time position as an ML Engineer.What sets me apart? My ability to bridge the worlds of Machine Learning and Web Development. Many ML engineers focus solely on models, but I bring a full-stack approach. I can take machine learning models and integrate them into complete, functional applications. I’m comfortable working with databases like MongoDB and Firebase, and my web development experience ensures I can build intuitive, user-friendly interfaces.With my unique skill set, I can help take your ML projects from concept to fully developed solutions that users will love. Let’s connect if you’re looking for a Machine Learning Engineer who can seamlessly integrate AI into practical applications.