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1Mike-e/README.md

πŸ‘‹ Hi, I'm Mike

πŸš€ AI/ML Engineer | Data Scientist | AI Agent & Prompt Engineering Expert
πŸ“ Based in: United States
πŸ“§ Email: mickyacquah155@gmail.com
πŸ”— Connect with me: GitHub | LinkedIn


🧠 About Me

I'm a passionate AI/ML Engineer and AI Agent Specialist with deep expertise in prompt engineering, autonomous systems, and LLM orchestration. My work focuses on building highly adaptive AI agents, optimizing prompt-driven workflows, and pushing the boundaries of Large Language Models (LLMs) and Generative AI.

With extensive experience in designing, fine-tuning, and deploying AI agents for complex tasks, I bridge the gap between research and real-world applications. When I'm not engineering prompts or debugging agentic loops, I contribute to open-source AI projects or write about emergent AI behaviors.


πŸ”₯ Current Focus

  • πŸ€– AI Agents: Architecting autonomous, multi-agent systems for enterprise automation, decision-making, and creative tasks
  • πŸ” Prompt Engineering: Developing high-performance prompts for LLMs (GPT-4, Claude, Mistral) and optimizing RAG pipelines
  • πŸ”¬ Research: Advancing techniques in LLM alignment, agentic frameworks, and self-improving AI systems
  • πŸš€ Projects: Building domain-specific AI agents for finance, healthcare, and content generation

πŸ› οΈ Technical Skills

Category Technologies & Tools
AI/ML & Agents PyTorch, TensorFlow, Transformers, LangChain, AutoGen, CrewAI, LLMs, GANs, Diffusion
Prompt Engineering Advanced prompting (CoT, ReAct, self-correction), RAG, LLM fine-tuning, evaluation
Data Science Pandas, NumPy, Scikit-Learn, SQL, Spark, Dask
Programming Python (expert), R, Bash, Java
MLOps & Cloud Docker, Kubernetes, AWS/GCP, MLflow, Weights & Biases
Visualization Matplotlib, Seaborn, Plotly, Tableau

πŸ† AI Agent & Prompt Engineering Expertise

  • Designed autonomous AI agents for workflow automation, reducing manual tasks by 70%+
  • Built custom prompt frameworks for domain-specific LLMs (legal, medical, creative writing)
  • Optimized RAG pipelines for accuracy and latency-critical applications
  • Trained self-improving agentic systems using reinforcement learning from human feedback (RLHF)

πŸ“« Let's Collaborate!

I'm always excited to:

  • 🀝 Collaborate on AI agent projects or prompt engineering challenges
  • πŸ’‘ Discuss LLM alignment, multi-agent systems, or emergent AI behaviors
  • πŸš€ Build the next generation of autonomous, ethical AI tools

Fun fact: I once trained an AI agent to negotiate with other LLMsβ€”it ended up bartering Python code for API credits in a simulated economy. (Turns out GPT-4 is a ruthless trader.)

πŸ”— Reach out: mickyacquah155@gmail.com | LinkedIn


⭐ Let's build the future of AIβ€”one prompt (or agent) at a time! ⭐

Pinned Loading

  1. Plant-disease-classification Plant-disease-classification Public

    Cassava Plant disease detection and classification

    Jupyter Notebook 1

  2. AutoGen-MultiAgent-Customer_Support AutoGen-MultiAgent-Customer_Support Public

    Jupyter Notebook 1

  3. Enterprise_RAG_CustomerService-Agent Enterprise_RAG_CustomerService-Agent Public

    Jupyter Notebook 1

  4. Autonomous-HR-Agent Autonomous-HR-Agent Public

    Jupyter Notebook 1

  5. Language-transcription-model Language-transcription-model Public

    Akan language transcription system

    Jupyter Notebook 1

  6. 3D-Object-Reconstruction 3D-Object-Reconstruction Public

    This repository contains a minimal yet enhanced implementation of Neural Radiance Fields (NeRF) using PyTorch. It is designed for learning and experimenting with neural rendering techniques on synt…

    Jupyter Notebook 1