
When Not to Automate: Understanding AI Automation Limitations
Automating a broken process only accelerates failure. Before implementing AI, it’s crucial to stabilize operations, define accountability, and assess risks.

Computer Engineering student and aspiring Software Developer, passionate about full-stack development, AI, hackathons, and solving real-world problems. 🚀
I’m currently pursuing a Bachelor’s degree in Computer Engineering, with a strong interest in development and technology. I’ve completed Harvard’s CS50, which gave me a solid foundation in computer science and problem-solving, and I’ve gained hands-on experience through two internships.
My first internship introduced me to software testing, where I learned the importance of quality assurance and attention to detail in the development process. In my second internship, I worked as a Tech Team Intern, gaining exposure to technical systems, teamwork, and real-world workflows.
I’ve also worked on multiple projects and participated in hackathons, which have helped me apply my knowledge, think under constraints, and learn by building. I enjoy solving problems, exploring new technologies, and understanding how things work in practical environments. While I’m still figuring out my long-term direction in tech, I’m focused on consistent learning and growth.
Alongside tech, I have a strong interest in writing and content creation, which helps me communicate ideas clearly and think creatively.
Always open to conversations, collaborations, and opportunities to learn and build! 💫

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