• Spearheaded the collection of image and video data for training deep learning models, demonstrating a meticulous approach to dataset enrichment.• Conducted pre-processing of image datasets using advanced tools like OpenCV and skimage, ensuring data quality and relevance.• Implemented transfer learning with the MSCOCO dataset, fine-tuning the existing YOLOV3 model. This optimization resulted in a remarkable efficiency improvement of over 20%.• Orchestrated hyperparameter tuning during deep learning model training, leveraging tools such as Tensorboard for meticulous evaluation. Selected models based on optimal performance criteria.• Utilized an Intel RealSense depth camera to calculate the depth of each detected apple, contributing valuable insights into size determination.• Engineered and implemented a cutting-edge deep learning model for apple detection and tracking. This impactful solution significantly enhanced Scotian Gold Cooperative's decision-making processes related to production and marketing.• Achieved outstanding results with the final predictive model: an AP (average precision) score of 90.72 for apple detection, an MT (mostly tracked) score of 36.09 for tracking, and an F1 score of 94.97% for apple counting within the system. These metrics underscored the effectiveness of the developed models in real-world scenarios.

• Conceptualized and developed Data Exchange application that extracted client data provided through API and manipulated it into a format accepted by various online marketing platforms, increasing customer sales by 12% and improved reporting performance by 20%. Implemented Rule Engine to support different validation groups imposed by various online marketing platforms and monitored the export process.• Conducted in-depth analysis of customer requirements, leading to the development of efficient data migration tools. These tools streamlined the process of migrating customer data into various e-commerce platforms, resulting in reduced monthly costs for clients and an improved inventory management experience.• Spearheaded the development and maintenance of back-end applications and data management components. Implemented process improvements, leading to a remarkable 40% reduction in data loading time. Enhanced the ETL process, elevating data accuracy by an impressive 98%.• Designed and optimized MySQL databases, creating tables, stored procedures, and SQL functions to ensure optimal performance.• Transformed large SQL queries into stored procedures, significantly improving reporting performance and overall system efficiency.• Collaborated seamlessly with the QA team to address defects as part of the Sprint task, ensuring the delivery of high-quality software solutions.