Flask
Advanced3+ years experienceFrameworks & Libraries2 internships1 research role
Proficient with extensive hands-on experience in production environments
My Experience
Python web framework used in research work at Texas A&M University & Soft Interaction Lab. Built conversational AI tools for 500+ SANE nurses and backend services for medical training applications.
Internships
INTERA Incorporated (Data Science)INTERA Incorporated (Data Engineering)
Research Roles
TAMU x Soft Interaction Lab
Technical Deep Dive
Core Concepts I'm Proficient In:
• Backend Debugging & Development: Expert use of Flask app routing and templates with emphasis on comprehensive backend debugging through object dictionary returns for full situational analysis
• Multi-User Application Architecture: Advanced implementation of caching systems enabling multiple developers and users to work simultaneously on the same Flask application for enhanced development and production performance
• Research & Medical Simulation Tools: Specialized development of simulation applications for medical school departments, focusing on functional utility over aesthetic design for specialized institutional needs
• Data Processing Applications: Extensive experience building Flask applications for data organization, elimination, and output processing, particularly in environmental and research contexts
• Authentication & Security Integration: Strategic use of Firebase for user authentication combined with Werkzeug for data security in sensitive medical and research applications
• Database Integration: Practical integration of Flask with SQLAlchemy for local data collection and management, ensuring accurate information gathering and processing
• Web Scraping Integration: Advanced combination of Flask with Selenium for automated web scraping applications in data collection workflows
Advanced Development Patterns:
• Debugging-First Development: Strategic approach to Flask development that prioritizes comprehensive debugging capabilities through detailed object exposure and systematic backend monitoring
• Collaborative Development Architecture: Implementation of caching systems and multi-user support that enables effective team development and concurrent user access without performance degradation
• Function-Over-Form Philosophy: Practical development approach that prioritizes application functionality and institutional utility over visual design, particularly for specialized research and medical tools
• Integrated Technology Stack: Seamless integration of Flask with complementary technologies (Firebase, Werkzeug, SQLAlchemy, Selenium) for comprehensive application solutions
• Research-Focused Application Design: Development of specialized tools tailored to academic and medical research needs, with emphasis on practical utility for institutional decision-making
• Data-Centric Backend Services: Flask application architecture optimized for data processing workflows, including organization, filtering, and output generation for research and environmental applications
Complex Problem-Solving Examples:
Court Simulation System for Medical Training:
Developed a comprehensive Court Simulation application using Flask that serves the medical school department's training and assessment needs. The challenge involved creating a multi-user system with robust caching architecture that allows numerous developers and users to access the application simultaneously without performance degradation. The solution prioritized functional effectiveness over visual aesthetics, recognizing that the tool's value lies in its ability to help the department understand specific situational requirements for medical training scenarios. This project demonstrated expertise in designing Flask applications for specialized institutional needs.
Multi-Developer Collaborative Environment:
Architected a Flask application with advanced caching systems that enable multiple developers to work on the same codebase simultaneously while maintaining application performance in both development and production environments. This required deep understanding of Flask's architecture and strategic implementation of caching mechanisms to prevent conflicts and ensure smooth collaborative development workflows.
Environmental Data Processing Applications at INTERA:
Built comprehensive data processing applications during internships that handle data organization, elimination, and output generation for environmental consulting projects. These Flask applications served as critical debugging tools, allowing for systematic analysis of data processing workflows and ensuring accuracy in environmental impact assessments. The applications integrated SQLAlchemy for local data management, providing reliable data collection and verification capabilities.
Web Scraping Automation System:
Developed an integrated Flask and Selenium application for automated web scraping during the first INTERA internship. This system combined Flask's web framework capabilities with Selenium's automation features to create efficient data collection workflows for environmental data gathering, demonstrating ability to integrate multiple technologies for comprehensive solutions.
Areas for Continued Growth:
• Python Web Framework Exploration: Expanding expertise beyond Flask to explore FastAPI, Django, and other Python web frameworks for broader application development capabilities
• Advanced Caching Strategies: Deepening knowledge of caching architectures and performance optimization techniques for large-scale collaborative applications
• Production Deployment Optimization: Learning advanced deployment strategies and production-ready Flask configurations for enterprise-scale applications
• API Development Mastery: Developing expertise in REST API design and implementation using Flask for modern web service architectures
• Security Enhancement: Advancing knowledge of Flask security best practices and implementation of comprehensive security measures for sensitive applications
3+ years
Experience
0
Projects
2
Internships
1
Research
Advanced
Proficiency