I'm a Software Engineer at CrewLAB with a Master's degree in Data Science from Northeastern University.
Software Engineer at CrewLAB: Developing full stack solutions across mobile (iOS/Android), web, and backend systems while collaborating with cross-functional teams.
Master's in Data Science (2025): Completed comprehensive coursework in machine learning, natural language processing, algorithms, and data management with a 3.9 GPA.
Cross-Platform Development: Proficient in Flutter and Dart for creating responsive applications across iOS, Android, and web platforms.
Data Analytics & Engineering: Experienced in BigQuery for large-scale data processing and Google Looker Studio for creating compelling data visualizations and dashboards.
Machine Learning Expertise: Proficient in supervised/unsupervised learning, NLP, and implementing ML algorithms for real-world applications.
Mobile Development: Building cross-platform applications using Flutter and Dart, creating seamless user experiences across iOS, Android, and Web platforms.
Machine Learning & Data Science: Applying supervised and unsupervised learning techniques, natural language processing, and advanced analytics to extract insights from data.
Full Stack Development: Contributing to innovative projects at CrewLAB, developing scalable frontend and backend solutions across diverse tech stacks.
Data Engineering & Analytics: Working with BigQuery for large-scale data processing and creating insightful dashboards using Google Looker Studio.
AI & Algorithms: Implementing advanced algorithms and exploring cutting-edge techniques in computer-human interaction and data management.
MCP Integrations: Building practical Model Context Protocol servers for Spotify, Chrome automation, Mac system control, Figma design workflows, and Atlassian/Jira project management to streamline development workflows.
- LinkedIn: linkedin.com/in/lrdoc