Contributing efficient, timely, and reliable ideas for research and development, employing Python workflows to automate diverse image processing, geoprocessing and machine learning tasks; developing remote sensing AI products following test-driven development.
Playing a key role in conceptualizing and crafting innovative workflows and creating technical content for various project proposals.
Migrated an entire product's codebase from Java to Python, incorporating few elements in Rust for rapid prototyping and testing.
Designed Python workflows to streamline downloading, atmospheric correction, color balancing, and mosaicking of satellite imagery.
Mentoring various intern students by actively guiding them through project workflows and conducting thorough code reviews.
Actively participating in the continuous improvement of development processes by proposing and implementing innovative solutions.
Adhering to Github workflows to enhance project features, utilizing Kanban boards, Agile workflows for effective project management.
Proactively researching and recommending new technologies and tools to enhance development processes and streamline workflows.
Go through remote sensing and deep learning literature papers; implementing and evaluating deep learning models using AI frameworks.
Performing both visual and statistical interpretation of results, probability maps, examining model performance through data validation.
Inspecting and fine tuning training data; preparation of imageries, extracting features for machine learning and deep learning tasks using python; creating aesthetic map layouts, effective management of ArcGIS Pro projects, geodatabases, imageries and project results.
Effectively developing scripts more pythonic, following PEP8 style; maintaining and collaborating code with the team using github.
