Welcome to my GitHub profile! I'm a passionate software developer, currently pursuing my master's degree. I love working on projects that solve real-world problems using innovative technologies.

• 🌱 Currently Pursuing: Masters in Computer Science
• 👩‍💻 Experience: Teaching Assistant, Research Assistant, Full-Stack Developer
• 🔍 Looking For: Co-op opportunities and internships in Software Development
• 🎯 Goals: To become a valuable member of the tech community by providing meaningful contributions, continuously learning, and collaborating with others to solve real-world problems.

• Research Assistant at Geoweaver

  • Assisted 120+ students in developing and debugging C/C++/Python programs for custom firewalls and packet filtering in FreeBSD, resulting in a 90% success rate in implementing functional divert sockets.
  • Mentored students through the creation of Certificate Authorities (CAs) and SSL certificates using OpenSSL, improving practical comprehension of Public Key Infrastructure (PKI) concepts by 85%.
  • Provided in-depth support for implementing transparent IP-level encryption using RC4 and MD5-based authentication, resulting in 85% accuracy in handling secure data transmission in FreeBSD virtual machines.
  • Tech Stack: Spring Boot, Java, JavaScript, HTML, CSS

• Teaching Assistant

  • Worked under the professor Dr. Ziheng Sun at the Center for Spatial Information Science and Systems (CSISS) on the Geoweaver Project, a NASA-funded open-source tool for workflow management.
  • Monitored website traffic and user behavior using Google Analytics, leading to a 20% increase in usability insights by analyzing patterns of user interaction with the Geoweaver web application.
  • Designed a responsive user interface for the Geoweaver Project using Spring Boot, reducing page load times by 30% and enhancing user engagement.
  • Set up a robust Cypress testing framework for the Geoweaver Project, improving test coverage and reducing manual testing effort by 40%.

• Developed landing pages and implemented core features for the Privileged Account Manager (PAM) product, addressing 95% of reported defects and contributing to enhanced user experience through effective coordination with cross-functional teams.
• Migrated three legacy web pages to a modern platform within a 3-month deadline, collaborating with UI designers and QA testers to ensure high-quality deliverables.
• Integrated Apache Guacamole clipboard functionality to enable seamless clipboard operations across remote web sessions, ensuring compatibility with multiple browsers and double-byte character support.
• Designed and implemented a robust backup and restore process, leveraging Python scripts to ensure 100% data preservation and integrity. Enabled seamless restoration by transferring backup data to designated Build folders, ensuring smooth reinstatement on the same host machine.

• Designed and implemented a hybrid access application enabling seamless connectivity across diverse networks without requiring a traditional VPN.
• Leveraged C for low-level back-end optimization and Python for scripting and API development, achieving a 30% reduction in latency and a 20% improvement in data transfer speed.
• Implemented robust user authentication mechanisms using SSL/TLS certificates, ensuring encrypted communication and secure identity verification.
• Developed a dynamic front-end interface leveraging HTML5, JavaScript, and Angular, enhancing usability and ensuring cross-browser compatibility.
• Developed monitoring scripts to track system performance, error rates, and connection reliability, reducing downtime by 25%.
• Used Postman for API testing and validation, ensuring seamless integration between front-end and back-end components.

• Wildfire Forecast Chatbot:
  A chatbot providing wildfire risk assessments and daily forecasts based on historical data and current weather conditions.
  Highlights: Used TabNet model for predicting FRP values, compared results with WildfireGPT.

• Fire Radiative Power Prediction:
  A project focused on predicting Fire Radiative Power (FRP) using a dataset containing various weather and environmental parameters.
  Results: Achieved MAW of 0.055, MSE of 0.011, MAPE of 2.969%, and R² of 0.405.

• Email: meghana.koramutlar@gmail.com
• LinkedIn: linkedin.com/in/meghana-koramutla-ramesh
• GitHub: github.com/meghanakr7

I'm always open to new opportunities, collaborations, and ideas. Feel free to reach out if you'd like to work together or just want to chat!