👋 Hello, I'm Isaack!

I'm a Data Scientist & Machine Learning Expert with a strong background in developing robust and scalable ML models using Python. I've been involved in several Machine Learning group projects, leveraging big data technologies, predictive analytics, and AI to solve complex problems.

As a Backend Developer and Blockchain Enthusiast, I specialize in building scalable and secure decentralized systems. I have experience developing decentralized applications (dApps) and smart contracts using Rust & Motoko, with a strong focus on blockchain backend architecture and decentralized AI solutions. My expertise lies in crafting high-performance, scalable blockchain solutions that power innovative applications, ensuring robust and efficient backend systems for decentralized ecosystems.

Additionally, I have hands-on experience with Large Language Models (LLMs), particularly LangChain, LlamaIndex and vector databases, for building advanced AI-driven applications. I’ve worked on projects involving natural language processing (NLP), Retrieval Augmented Generation systems(RAG) , and AI-powered RAG applications, leveraging these frameworks to create intelligent solutions.

• Languages & Tools: Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
• Expertise: Predictive Analytics, Natural Language Processing (NLP), Computer Vision, Big Data Processing
• Projects: Built end-to-end ML pipelines, deployed models in production environments, and optimized algorithms for scalability.

• Languages & Tools: Rust, Motoko, & Internet Computer (ICP)
• Expertise: Decentralized Applications (dApps), Smart Contracts, Blockchain Backend Architecture, Decentralized AI Solutions
• Projects: Developed scalable and secure blockchain solutions, including dApps and smart contracts, with a focus on high-performance backend systems.

• Frameworks & Tools: LangChain, LlamaIndex, ChromaDB, HayStackAI, OpenSearch, Pinecone, Sentence Transformers.
• Expertise: RAG pipelines, vector search, embedding-based similarity retrieval, document indexing, and generative AI-powered Q&A systems.
• Projects: Developed scalable RAG systems integrating LLMs with vector databases, fine-tuned embeddings for high-precision retrieval, and built intelligent knowledge assistants for real-time information retrieval.

• Machine Learning: Model Development, Data Analysis, AI Deployment.
• Blockchain: Smart Contract Development, dApp Architecture, Decentralized Systems.
• Backend Development: Scalable Systems, Database Management.
• Generative AI & RAG: Retrieval-augmented generation (RAG) pipelines, natural language processing, vector databases, and document indexing.

• Build scalable and efficient machine learning/AI models to solve real-world problems.
• Design and develop secure and decentralized blockchain applications.
• Focus on backend architecture to ensure robust and high-performance systems.
• Combine AI and blockchain to create innovative decentralized AI solutions.
• Build RAG pipelines using NLP and vector databases for advanced vector similarity search and intelligent retrieval systems.