# Comprehensive Technical Background and Project Portfolio ## Executive Summary As a Master's student in Computer Science at the University of Maryland Baltimore County (UMBC), I bring a diverse portfolio of technical expertise spanning artificial intelligence, machine learning, and software development. My experience encompasses academic research, industry applications, and a substantial collection of innovative projects that demonstrate my ability to implement complex AI solutions. This comprehensive background positions me ideally for contributing to FutureMakers' mission of developing AI-powered educational tools. ## Academic and Professional Background Currently pursuing my Master's in Computer Science at UMBC, I serve as both a Graduate Teaching Assistant and a Machine Learning Researcher. In my teaching role, I've improved student performance by 15% through developing targeted learning materials for "CMSC 691: Introduction to Data Science." As a researcher at UMBC's SONG Lab, I've implemented lifelong learning algorithms that enhanced wireless system resilience by 8% and improved AI system transparency by 25%. My professional experience at ZIGRAM as a Data Specialist included developing an Automated Bug Detection system that reduced resolution time by 60% and creating a real-time Data Translation API that improved search accuracy by 25%. These achievements demonstrate my ability to deliver practical AI solutions that provide measurable business value. ## Technical Project Portfolio My project portfolio demonstrates extensive experience across various domains of AI and machine learning: ### Natural Language Processing and Interactive AI The Interactive Fiction Analysis project showcases my ability to develop sophisticated AI systems for natural language understanding. By analyzing the LIGHT dataset containing over 10,000 entities, I created systems for generating contextually appropriate character and room descriptions. This project particularly demonstrates my capability to develop AI systems that can enhance educational storytelling experiences. The News Bias Detection project exemplifies my expertise in transformer-based models. Using BERT, I achieved 96% accuracy in bias detection while implementing a full-stack solution with ReactJS and Flask. This project demonstrates my ability to create user-friendly interfaces for complex AI systems, a crucial skill for educational technology development. ### Computer Vision and Deep Learning The Fake Face Generator project showcases my expertise in deep learning, particularly in implementing DCGANs using PyTorch. This project demonstrated my ability to handle complex neural network architectures and manage computational resources effectively. The Plant Disease Detection project utilized cutting-edge Visual Transformers and CNNs to process an extensive dataset of 87,900 images across 38 classes. This work shows my capability to implement and optimize various deep learning architectures for practical applications. ### Time Series Analysis and Forecasting My work on time series forecasting, using both SARIMA and LSTM models, demonstrates my ability to handle complex temporal data. These projects showcase my expertise in data preprocessing, model selection, and validation techniques, skills that are valuable for developing educational analytics tools. ### Distributed Systems and Scalable Architecture The Distributed File System project, implementing the Raft consensus algorithm, shows my understanding of distributed systems and fault-tolerant architecture. This experience is crucial for developing robust, scalable educational platforms. ### Recommendation Systems and User Experience The Subreddit Recommendation System project demonstrates my ability to create personalized user experiences. Using FAISS for vector similarity and integrating LLaMA 3 for RAG, I achieved sub-second query responses while processing over 15 million entries. This experience directly relates to developing personalized learning experiences in educational technology. ## Technical Expertise My technical skill set spans a comprehensive range of technologies and frameworks: Machine Learning and AI: - Deep Learning Frameworks: PyTorch, TensorFlow - Natural Language Processing: BERT, GPT, Transformers - Computer Vision: CNNs, DCGANs, OpenCV - Time Series Analysis: SARIMA, LSTM Development and Infrastructure: - Languages: Python, JavaScript, SQL - Web Development: React, Flask, REST APIs - Distributed Systems: Raft Consensus, Concurrent Programming - Database Systems: Elasticsearch, Vector Databases ## Vision for Educational AI Development My approach to educational technology development is grounded in creating systems that enhance learning experiences while maintaining accessibility and user engagement. Key aspects include: Creating Adaptive Learning Systems: My experience with recommendation systems and personalization algorithms can be applied to develop adaptive learning paths that respond to individual student needs. Implementing Robust Evaluation Methods: My background in developing evaluation metrics for AI systems can be utilized to create meaningful assessment tools for educational platforms. Ensuring Scalability and Reliability: My experience with distributed systems and optimization ensures the development of robust, scalable educational tools. ## Conclusion My comprehensive technical background, combined with substantial project experience and understanding of educational technology, makes me well-equipped to contribute to FutureMakers' mission. I bring not only technical expertise but also a demonstrated ability to implement complex AI solutions in practical, user-friendly ways. The breadth and depth of my project portfolio show my capability to tackle challenging technical problems while maintaining focus on end-user needs. This combination of skills is particularly relevant for developing the Readyness platform, where sophisticated AI capabilities must be made accessible to educators and learners. I am excited about the opportunity to apply my technical expertise and project experience to advance FutureMakers' goal of creating innovative, AI-powered educational tools that enhance hands-on learning and social-emotional development.