Played a key role in conceptualizing and crafting innovative project workflows that improved
efficiency, alignment with client needs and industry standards; Assisted in drafting various
project proposals that secured more than $400,000 CAD funding from government agencies.
Contributed efficient, timely, and reliable ideas for research and development by employing
python workflows to automate diverse image processing, geoprocessing, and AI/ML tasks.
Developed remote sensing based AI products using test-driven development with pytest, and mlflow
to track experiments for better model performance improvement and optimization.
Migrated an entire product’s codebase from Java to Python with few parts of the product in Rust,
improving code security and maintainability to enhance rapid prototyping and testing.
Designed Python workflows to automate downloading and pre-processing satellite imageries.
Mentored interns by actively guiding project workflows and conducting thorough code reviews.
Actively participated in the continuous improvement of development processes by proposing and
implementing innovative solutions.
Adhered to GitHub workflows to enhance project features through structured pull requests and
code reviews. Utilized Kanban boards and Agile methodologies for effective project management,
facilitating smooth team coordination and timely delivery of project milestones.
Proactively researched and recommended new technologies and tools to improve development
processes, identifying solutions that streamlined workflows and improved efficiency.
Reviewed remote sensing and deep learning literature papers, implementing and evaluating deep
learning models using AI frameworks. Conducted both visual and statistical interpretations of
results and probability maps, examining model performance.
Inspected and fine-tuned training data for ML models, preparing imagery and extracting features
for ML and deep learning tasks using Python. Created aesthetic map layouts and effectively
managed ArcGIS Pro projects, geodatabases, imagery, and results.
Effectively developed Python scripts that adhere to PEP8 style guidelines, maintaining and
collaborating on code with the team using GitHub.