Here's the updated README content with the Research Assistant position included:
This repository contains my personal portfolio, showcasing my skills, projects, and experience as a software developer.
My name is Jay Paun and I am currently pursuing a Master of Science in Computer Science at the University of Maryland Baltimore County. I have a Bachelor of Engineering in Information Science and Engineering from B.M.S. College of Engineering, Bangalore, India. With a strong foundation in programming and a passion for solving complex problems, I have developed a diverse skill set in software development, machine learning, and deep learning.
- Email: [email protected]
- Phone: +1 (667)-433-1441
- LinkedIn Profile
- GitHub Profile
- LeetCode Profile
- Technologies: Python, TCP/IP, Docker, Socket Programming
- Developed an end-to-end distributed file system with nodes including a master server, file servers, and clients.
- Implemented client-server communication using TCP/IP and socket programming.
- Managed file operations with a lease mechanism and FCFS scheduling for concurrent requests.
- Technologies: Python, Machine Learning, NLP
- Developed a chatbot to answer Python-related questions using a dataset from Kaggle.
- Implemented features like question suggestion, autocomplete, and input by speech.
- Incorporated upvote, downvote, and code output functionalities.
- Technologies: Python, ML, CNN, Java, Android
- Engineered an advanced Android application utilizing deep learning algorithms to analyze MRI images for brain tumor detection.
- Achieved a diagnostic accuracy rate of 0.9 during initial testing with 300+ medical images.
- Implemented a convolutional neural network (CNN) with TensorFlow for image analysis.
- Designed the app interface using Java and XML in Android Studio.
- Supervisor: Professor Ramana Vinjamuri
- Conducting research on EEG classification of emotion, focusing on detecting stress and deception using deep learning models, particularly transformers.
- Learning and implementing deep learning models in PyTorch, with an emphasis on training and fine-tuning these models for EEG data.
- Company: HPE (contractor: Primus Global Tech), Bangalore, India
- Automated tasks by writing and running Ansible scripts in Ansible Tower, increasing efficiency by 20%.
- Debugged and resolved system issues, reducing downtime by 15% and improving system reliability.
- Configured a comprehensive DevOps pipeline utilizing Git for version control, Jenkins for CI/CD automation, Ansible for orchestration, and Python for scripting, enhancing deployment speed by 25%.
- Company: IBM India Pvt. Ltd., Bangalore, India
- Developed efficient log search capabilities using keywords, package IDs, and thread IDs, improving log retrieval time by 30%.
- Implemented stack trace isolation, streamlining the debugging process and reducing resolution time by 20%.
- Created a time-based search system to retrieve logs by timestamp, facilitating quick access to historical data.
- Developed a hashed error code dictionary linked to known issues, enabling quick identification and resolution of recurring problems.
- Automated error code categorization, simplifying error management and improving troubleshooting efficiency.
This README now includes your recent role as a Research Assistant, detailing your contributions and responsibilities in that position.