After months of rejections while applying for software engineering internships, I finally started receiving interview calls. Initially, I was sending the same resume to every position, believing that a high volume of applications would eventually yield results. Unfortunately, this approach only led to more rejections and silence. Things began to shift when I dedicated time to improving my resume and focusing on projects that I could discuss confidently during interviews. One notable project was an AI-powered cybersecurity tool where I developed an NLP-to-KQL Query Copilot. I made sure that every project listed on my resume showcased measurable impact rather than just a list of technologies. Interview preparation was another hurdle. While I could solve LeetCode problems, I found it challenging to articulate my thought process. To overcome this, I practiced mock interviews and revisited data structures and algorithms fundamentals, which significantly boosted my confidence. I also discovered Linkjob.ai, which helped me customize my resume for different job descriptions instead of sending out a generic version. While it didn't guarantee offers, it made my applications feel more targeted and saved me considerable time. Although I'm still on my job search journey, I've noticed a significant increase in online assessments and interview opportunities compared to when I started. For anyone else facing similar challenges, I can't emphasize enough the importance of tailoring your resume, working on projects you truly understand, and practicing how to communicate your problem-solving process—not just solving coding challenges. I'd love to hear what strategies others found most effective in their internship or new-grad job searches.