Bridging the gap between cutting-edge AI research and real-world applications through innovative solutions.
Currently architecting multi-agent systems at KOTS Daily Services and pursuing a Master's in Data Science. Specialized in LangChain, FastAPI, machine learning, and full-stack development with a focus on creating scalable, intelligent applications.
Professional journey spanning AI development, data science, and software engineering across innovative startups and global consulting firms.
Selected work demonstrating expertise in AI systems, machine learning, and full-stack development with measurable impact.
Leading development of a comprehensive multi-agent system addressing accessibility gaps in agricultural AI. Features a FastAPI backend with an LLM-based coordinator for intelligent agent orchestration. Research paper in progress: "A Farmer-Centric Orchestration Framework for Collaborative Multi-Agent Agricultural AI Systems."
Engineered a machine learning system for identifying and classifying malware in IoT devices. Implemented and evaluated Random Forest and XGBoost models, achieving high accuracy in detecting various malware types. Developed feature engineering pipeline to improve model performance and minimize false positives.
Developed comprehensive full-stack web application for event management. Designed and implemented responsive user interface using HTML, CSS, and JavaScript. Built robust backend using Flask framework with MySQL database integration for efficient data management and retrieval.
Comprehensive technical expertise across programming languages, frameworks, and tools for building modern AI and data-driven applications.
Open to discussing new opportunities, collaborations, and innovative AI projects.
I'm always interested in discussing new projects, creative ideas, or opportunities to contribute to innovative AI and data science initiatives. Whether you're looking to collaborate or just want to connect, feel free to reach out.
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