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amaziatower/README.md

πŸ‘‹ Hi, I’m Amaziah Yahalom

πŸ“§ amaziaytower@gmail.com | πŸ“ž +16787482048 | About Me

  • πŸ‘€ I’m interested in: Artificial Intelligence, Machine Learning, Logistics Optimization, and Community Engagement through AI.
  • 🌱 I’m currently learning: Advanced Natural Language Processing, LangChain integrations, and cutting-edge AI tools.
  • πŸ’žοΈ I’m looking to collaborate on: Scalable AI projects, Chatbot Development, and Predictive Analytics solutions.
  • ⚑ Fun fact: I led the development of tmonk.net, a platform combining AI and social initiatives for community impact! krissdocs

πŸ› οΈ Skills and Technologies

  • 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

πŸ“œ Experience

Machine Learning Engineer

Tower Transition Logistics International, Inc. (2018–2024)

  • 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%.

Remote Machine Learning Intern

Innotech IT (2023–2024)

  • Built advanced chatbot capabilities and predictive models using NLP and modern AI tools.
  • Contributed to the development of scalable AI solutions for various applications.

CEO

Rollis Business Group LLC (2012–2016)

  • 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%.

πŸŽ“ Education

Associate of Applied Science in Supply Chain Management
Atlanta Technical College (2018–2020)


πŸš€ Projects

  • tmonk.net (2018–2024): AI-powered platform for social initiatives and community engagement.
  • Logistics Optimization Model (2018–2024): Reduced delivery costs by implementing advanced route optimization techniques.
  • Customer Behavior Prediction (2023–2024): Boosted sales with predictive models analyzing customer purchasing patterns.
  • Retrieval Augmented Generation (RAG) System (2017–2018): Developed a system for efficient document processing and information retrieval, achieving a 40% improvement in processing speed.
  • AI-Driven Security Features (2017–2018): 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! πŸš€

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