I am Nazar Novruzov, a final-year Computer Science student at KAIST in South Korea, graduating in August 2026. My journey in software engineering has been defined not just by writing code, but by a relentless drive to build scalable, user-centric products that solve tangible problems. I operate at the intersection of full-stack development and deep learning, bringing a "founder’s mindset" to every project I undertake—meaning I prioritize reliability, efficiency, and the end-user experience above all else. My professional experience is rooted in taking ownership of complex technical challenges. Currently, I serve as the Team Lead at Axinvent, where I guide the development of a real-time farm telemetry system. In this role, I architected the backend infrastructure to support the ingestion of data from multiple on-farm IoT devices, designing over 30 REST API endpoints to ensure seamless communication between hardware and our mobile interface. Beyond standard development, I integrated Large Language Models (LLMs) to analyze sensor data automatically, providing farmers with actionable insights. This experience honed my ability to lead teams, standardize protocols across diverse tech stacks, and deliver robust MVPs in fast-paced environments. In parallel, I founded Clang, a startup funded by KAIST, where I built a real-time classroom lecture translation application. Acting as the primary full-stack developer, I engineered a system capable of delivering speech-to-text inference with under two seconds of latency. This project required more than just technical skill; it demanded a deep understanding of product viability, user latency tolerance, and resource optimization. Similarly, during my time as an AI Engineer at Spoit, I developed multi-object tracking pipelines for sports analytics that reduced manual editing effort by approximately 50%. Whether optimizing computer vision models for speed or managing global states for complex user sessions, I focus on shipping high-performance code that drives business results. As I transition into remote work with clients on Twine, I bring the discipline of a team lead and the versatility of a founder. I am comfortable managing projects autonomously, communicating across time zones, and navigating the entire software lifecycle—from database schema design to frontend deployment. I am looking to partner with clients who need an engineer capable of seeing the "big picture" while executing the technical details with precision.…I am Nazar Novruzov, a final-year Computer Science student at KAIST in South Korea, graduating in August 2026. My journey in software engineering has been defined not just by writing code, but by a relentless drive to build scalable, user-centric products that solve tangible problems. I operate at the intersection of full-stack development and deep learning, bringing a "founder’s mindset" to every project I undertake—meaning I prioritize reliability, efficiency, and the end-user experience above all else. My professional experience is rooted in taking ownership of complex technical challenges. Currently, I serve as the Team Lead at Axinvent, where I guide the development of a real-time farm telemetry system. In this role, I architected the backend infrastructure to support the ingestion of data from multiple on-farm IoT devices, designing over 30 REST API endpoints to ensure seamless communication between hardware and our mobile interface. Beyond standard development, I integrated Large Language Models (LLMs) to analyze sensor data automatically, providing farmers with actionable insights. This experience honed my ability to lead teams, standardize protocols across diverse tech stacks, and deliver robust MVPs in fast-paced environments. In parallel, I founded Clang, a startup funded by KAIST, where I built a real-time classroom lecture translation application. Acting as the primary full-stack developer, I engineered a system capable of delivering speech-to-text inference with under two seconds of latency. This project required more than just technical skill; it demanded a deep understanding of product viability, user latency tolerance, and resource optimization. Similarly, during my time as an AI Engineer at Spoit, I developed multi-object tracking pipelines for sports analytics that reduced manual editing effort by approximately 50%. Whether optimizing computer vision models for speed or managing global states for complex user sessions, I focus on shipping high-performance code that drives business results. As I transition into remote work with clients on Twine, I bring the discipline of a team lead and the versatility of a founder. I am comfortable managing projects autonomously, communicating across time zones, and navigating the entire software lifecycle—from database schema design to frontend deployment. I am looking to partner with clients who need an engineer capable of seeing the "big picture" while executing the technical details with precision.WWWW…