I’m Prathiksha Ravibabu Nijamkari, a Master’s student in Computer Science specializing in Artificial Intelligence at USC, with a strong interest in building intelligent, scalable software that solves real-world problems. Most recently, I was a Software Engineer Intern at Intuit, where I built AI-powered capabilities for QuickBooks, orchestrated 27+ REST APIs, and optimized LLM workflows to reduce latency by 35% for a platform serving 3M+ customers. Previously, as an AI Intern at Pyzaql, I worked on LLaMA 2, LoRA fine-tuning, and semantic retrieval, improving system throughput by 35%. I’ve also worked in full-stack development and conducted research across multimodal AI, computer vision, medical vision-language models, and autonomous driving. What makes me stand out is my ability to bridge AI research and production software engineering. I enjoy understanding a problem deeply, experimenting with solutions, and then engineering them into reliable products that people can actually use. Whether it’s an LLM-powered financial assistant, a multimodal detection system, or an autonomous perception pipeline, I’m most motivated by challenging problems where strong technical execution can create measurable impact.…I’m Prathiksha Ravibabu Nijamkari, a Master’s student in Computer Science specializing in Artificial Intelligence at USC, with a strong interest in building intelligent, scalable software that solves real-world problems. Most recently, I was a Software Engineer Intern at Intuit, where I built AI-powered capabilities for QuickBooks, orchestrated 27+ REST APIs, and optimized LLM workflows to reduce latency by 35% for a platform serving 3M+ customers. Previously, as an AI Intern at Pyzaql, I worked on LLaMA 2, LoRA fine-tuning, and semantic retrieval, improving system throughput by 35%. I’ve also worked in full-stack development and conducted research across multimodal AI, computer vision, medical vision-language models, and autonomous driving. What makes me stand out is my ability to bridge AI research and production software engineering. I enjoy understanding a problem deeply, experimenting with solutions, and then engineering them into reliable products that people can actually use. Whether it’s an LLM-powered financial assistant, a multimodal detection system, or an autonomous perception pipeline, I’m most motivated by challenging problems where strong technical execution can create measurable impact.WWWW…