π§ amaziaytower@gmail.com | π +16787482048 | About Me
- π Iβm interested in: Artificial Intelligence, Machine Learning, Logistics Optimization, and Community Engagement through AI.
- π± Iβm currently learning: Advanced Natural Language Processing, LangChain integrations, and cutting-edge AI tools.
- ποΈ Iβm looking to collaborate on: Scalable AI projects, Chatbot Development, and Predictive Analytics solutions.
- β‘ Fun fact: I led the development of tmonk.net, a platform combining AI and social initiatives for community impact! krissdocs
- Programming: Python, R, TypeScript, Next.js
- Machine Learning Frameworks: TensorFlow, Keras, LangChain
- Cloud Platforms: AWS, Google Cloud Platform
- Databases: PostgreSQL, Supabase
- Frontend/Backend Development: MaterialUI, Node.js, Express, Django
Tower Transition Logistics International, Inc. (2018β2024)
- Developed machine learning models to optimize logistics, reducing costs by 25% and improving efficiency by 30%.
- Collaborated with cross-functional teams to integrate AI solutions, enhancing data processing speed by 40%.
- Conducted thorough data analysis to drive continuous improvement, increasing model accuracy by 20%.
Innotech IT (2023β2024)
- Built advanced chatbot capabilities and predictive models using NLP and modern AI tools.
- Contributed to the development of scalable AI solutions for various applications.
Rollis Business Group LLC (2012β2016)
- Designed innovative business strategies that increased revenue by 35% and client acquisition by 50%.
- Launched three new service lines, diversifying offerings and boosting market penetration by 25%.
Associate of Applied Science in Supply Chain Management
Atlanta Technical College (2018β2020)
- tmonk.net (2018β2024): AI-powered platform for social initiatives and community engagement.
- Logistics Optimization Model (2018β2024): Reduced delivery costs by implementing advanced route optimization techniques.
- Customer Behavior Prediction (2023β2024): Boosted sales with predictive models analyzing customer purchasing patterns.
- Retrieval Augmented Generation (RAG) System (2017β2018): Developed a system for efficient document processing and information retrieval, achieving a 40% improvement in processing speed.
- AI-Driven Security Features (2017β2018): Implemented advanced security measures in document handling, ensuring 100% compliance with data protection regulations.
Looking forward to connecting with like-minded innovators and collaborating on transformative AI projects! π