Software Engineer
Current- Authored comprehensive Statements of Work (SOW) and project planning, ensuring clear communication of task scope, deliverables, and timelines.- Leveraged Agile methodologies for task decomposition, assigning tasks to team members via Jira for optimal productivity and efficiency.- Led the creation and management of database schemas, including tables and automated data import processes. Employed Python for data scrapping from various internet sources.- Instituted automated job executions to streamline processes and maintain data consistency.- Pioneered in the labeling and training of various AI models, enhancing the company's capabilities in data analytics and machine learning.- Successfully deployed machine learning models via REST interfaces.- Engineered diverse models encompassing Natural Language Processing (NLP), data vectorization, sentiment analysis, text classification, regression, and more to solve unique business challenges.- Clients: Carrefour, ONTSI, EIT, and handled European country projects, delivering high-quality solutions.- Developed a groundbreaking project modeling the cleanliness of cities, including KPI creation for prediction and optimization of city cleaning departments.- Orchestrated a project focused on customer review texts, sentiment analysis, comment classification, and competitor inference. The project delivered actionable insights on areas for improvement and competitor strategies.- Innovated by scrapping online courses and LinkedIn data. This data was used to build a state-of-the-art recommendation system, identifying skill gaps in companies, and proposing suitable courses to bridge these gaps.- Gained hands-on experience in deploying data scrapping Python programs as Docker containers in AWS, using AWS Fargate for execution. Managed the storage of scrapped data in AWS S3, further strengthening understanding of cloud-based data solutions. Continuously learning and improving understanding of cloud infrastructure and services.
