As a full stack engineer at GeoClerk - Searcher Seismic, the primary functions for this role are: • Collaborate on product development, contributing to the full software development lifecycle• Develop and maintain data pipelines and data processing solutions. • Conduct exploratory data analysis to derive insights and inform development decisions. • Gather and define requirements for new features and functionality. • Write and maintain comprehensive test suites for software quality assurance. • Identify and troubleshoot software bugs and issues, providing timely resolutions. • Participate in product management activities, including roadmap planning and prioritization. • Optimize and fine-tune software for improved performance and scalability. • Implement geospatial data processing and visualization features. • Work with cross-functional teams to ensure software aligns with project goals and timelines. • Create and maintain technical documentation to facilitate knowledge sharing. • Stay current with industry trends and emerging technologies in geospatial and data engineering. • Collaborate in code reviews and maintain code quality standards. • Diagnose, investigate, and resolve customer and technical issues. • Monitor software platforms for load, performance, usage, security concerns and failures. • Build knowledge base of support issues, resolutions, and root cause analyses. • Maintain system documentation to ensure that maintenance and support issues can be efficiently addressed.• Verify fixes provided by development team prior to deployment. • Build repository of test data that reveals software defects or interesting test cases. • Write automated integration test cases for existing and new software components to verify software quality.

As a full-stack engineer intern, I played a key role in building ANI Research, a self-service market research platform. My work spanned the entire development process, from designing the architecture to implementing it using Next.js with TypeScript, MongoDB, Prisma, and Tailwind CSS. I focused on efficiency and quality, setting up a continuous integration process with GitHub and GitHub Actions. This ensured a smooth development workflow and allowed for quick iterations. I also contributed to the continuous deployment of Docker containers on AWS through ECR and ECS, a critical step in maintaining scalability and performance. The ANI Platform integrates Qualtrics for survey deployment and DisplayR for data analysis. My involvement in this project underscores my commitment to using cutting-edge technologies to build practical and innovative solutions. I'm proud to have been part of a project that simplifies market research and provides valuable tools to users.

As an innovative and passionate deep learning engineer, I had the unique opportunity to work on a groundbreaking project aimed at improving the diagnosis of osteogenesis imperfecta, a rare genetic disorder that can be challenging to diagnose accurately. My role involved designing and developing a novel segmentation network using a combination of advanced convolutional neural networks and other machine learning techniques, to accurately identify sclera abnormalities in 3D medical images. With unwavering dedication and an unparalleled attention to detail, I collaborated closely with medical professionals to ensure the segmentation network was tailored to their needs and delivered on their expectations. I am proud to have made a significant contribution to the advancement of medical technology, and the development of a reliable and efficient segmentation network with the potential to significantly improve the lives of those affected by osteogenesis imperfecta.

I was actively engaged in the construction of a revolutionary machine-learning framework designed to provide sophisticated analysis and inference capabilities for crowd scenes. Through a deep understanding of established techniques and the deft implementation of novel approaches such as multi-headed self-attention, I played a critical role in the framework's design. I was also responsible for the meticulous optimization of hyperparameters and the rigorous conduct of empirical analysis to ensure unparalleled performance. This project not only served as a formidable platform to hone my machine learning and programming skills, but also provided me with the opportunity to significantly elevate my professional and research capabilities.

As a mentor and guide for high school students embarking on the crucial journey of preparing for their ATAR examinations, I was bestowed with the esteemed responsibility of assessing the unique learning requirements of each student and crafting personalized study plans to cater to those needs. My role entailed providing unwavering support and guidance to the students, utilizing my skills and experience to empower them to reach their full potential and achieve their academic goals.