MD Azizul Hakim

About Myself

I am MD Azizul Hakim, a dedicated professional deeply involved in the fields of Artificial Intelligence, Machine Learning, and Deep Learning. My journey in AI began formally in 2023 when I took on the role of an AI, ML, and DL Researcher at AI Project Solution. In this capacity, I focus on exploring and advancing the frontiers of intelligent systems. Concurrently, I serve as an AI, ML, and DL Engineer, translating theoretical concepts into tangible applications, and also function as an MLOps Engineer, ensuring that these sophisticated models are deployed, monitored, and maintained efficiently in production environments. My passion lies in bridging the gap between cutting-edge research and real-world impact, creating AI solutions that are not only innovative but also robust and scalable.

Breaking New Ground in AI Research

My current research endeavors are centered on developing a self-repairing biological deep learning algorithm featuring homeostatic regulation. This pioneering approach has demonstrated superior performance on critical biomedical datasets, including those related to AIDS, HIV, COX2, and protein analysis. The potential applications of this innovation are vast, particularly within pharmaceutical and biological research, as well as in enhancing the capabilities of Large Language Models (LLMs), AI agents, and general AI systems.

Research Expertise & Current Focus

My research expertise spans various advanced AI paradigms. I am currently focused on integrating complementary technologies to build powerful, application-ready systems. Key areas include:

LLM Innovation

Developing context-aware fine-tuning techniques, researching efficient transformer architectures, creating novel prompt engineering frameworks, and implementing biological principles to enhance LLM stability.

AI Agent Architecture

Designing autonomous agents with advanced planning, multi-modal perception, self-repair mechanisms, and robust evaluation frameworks.

General AI Agent Systems

Building integrated platforms combining LLMs, computer vision, and researching multi-agent collaboration, developing cross-domain knowledge transfer, and creating benchmarks for general AI capabilities.

Combined Technology Applications

I am actively pioneering applications that merge these research areas, focusing on healthcare diagnostics, intelligent manufacturing, personalized education, and environmental monitoring.

Expertise Focus Areas

Technical Arsenal

My technical toolkit includes:

• Advanced ML/DL: Python, PyTorch, TensorFlow, Keras, Scikit-learn
• MLOps & Deployment: MLflow, Git Actions, Docker, Kubernetes, CI/CD pipelines
• Cloud Platforms: AWS (SageMaker, EC2, S3), Google Cloud Platform (AI Platform)
• Specialized Areas: Computer Vision, Natural Language Processing (NLP), Speech Recognition, Generative AI, Federated Learning
• AI Agent Engineering: LangChain, LangGraph, LangFlow, CrewAI, Ollama, AutoGen, LlamaIndex, Semantic Kernel, Model Context Protocol (MCP), ReAct frameworks, tool calling and function execution, multi-agent orchestration, retrieval-augmented generation (RAG), vector embeddings, agent memory systems, workflow automation, prompt engineering and optimization

Projects & Portfolio

For detailed insights into my projects and practical implementations, please explore the Portfolio section of this site.

Research & Industry Approach

As a Kaggle Notebooks Master and the driving force behind AI Project Solution, I bring a unique blend of academic rigor and practical application to every challenge. My approach involves:

• Adhering to the high standards of research paper writing, comparable to prestigious journals like Nature Machine Intelligence.
• Consistently delivering scalable, production-ready AI solutions.
• Maintaining research integrity while effectively addressing real-world business needs.

Let’s Collaborate

I am actively seeking opportunities for collaboration and engagement in areas such as:

• End-to-end Machine Learning solution development
• Implementation of research findings and academic paper writing
• Development and optimization of MLOps pipelines
• AI model tuning, deployment, and performance enhancement
• Consulting for custom AI/ML solutions tailored to specific needs
• Advanced LLM implementation, fine-tuning, and application
• Design and development of sophisticated AI agents