Curriculum Vitae

MD Azizul Hakim

ML-DL-AI Researcher | ML-DL-AI Engineer | MLOps Engineer
Transforming complex AI challenges into practical, efficient solutions

Professional Summary

Accomplished AI/ML/DL Researcher and Engineer with a proven track record of delivering over 30+ successful projects across diverse domains. As the founder of AI Project Solution since 2023, I specialize in developing cutting-edge machine learning solutions, implementing robust MLOps practices, and pioneering research in biologically-inspired neural networks. My recognition as a Kaggle Notebooks Master and 2nd Runner-Up in a national AI Agent Development Competition demonstrates my expertise in both theoretical research and practical implementation. I excel at bridging the gap between cutting-edge research and real-world impact, creating AI solutions that are not only innovative but also robust and scalable.

Key Achievements

2nd Runner-Up - AI Agent Development Competition
2025
Intent Company in collaboration with International Islamic University Chittagong (IIUC)
Achieved 2nd Runner-Up position among over 200 teams from across Bangladesh in a prestigious AI Agent Development Competition.
  • Demonstrated technical proficiency in AI development under competitive pressure
  • Applied strategic thinking and advanced problem-solving skills
  • Showcased expertise in autonomous AI systems and agent architecture
Kaggle Notebooks Master
Achieved Master status on Kaggle, a prestigious recognition earned by consistently creating exceptional notebooks that demonstrate advanced proficiency in:
  • Complex data analysis and visualization techniques
  • Innovative machine learning model implementation
  • Effective communication of technical concepts
  • Creative problem-solving approaches in competitive data science
Published Research Contributions
2025
Authored multiple peer-reviewed conference papers in cutting-edge AI domains:
  • Pioneered neuroplasticity-based approaches for enhanced computer vision generalization
  • Developed LLM-driven nutritional assessment systems for chronic disease prevention
  • Created biologically-inspired, self-repairing neural architectures
  • Advanced the field of molecular graph classification through neuroadaptive intelligence

Professional Experience

Owner, AI/ML/DL Researcher & Engineer
2023 - Present
AI Project Solution
Founded and lead a specialized AI consultancy delivering cutting-edge machine learning solutions across industries. Responsible for end-to-end project management, from initial research to final deployment and maintenance, while conducting advanced research in biologically-inspired AI systems.
  • Successfully delivered over 30+ AI, Machine Learning, and Deep Learning projects with exceptional client satisfaction
  • Pioneered research in self-repairing biological deep learning algorithms featuring homeostatic regulation
  • Demonstrated superior performance on critical biomedical datasets including AIDS, HIV, COX2, and protein analysis
  • Implemented robust end-to-end MLOps pipelines incorporating automation, model tracking, and streamlined deployment
  • Specialized in LLM implementation, fine-tuning, and AI agent development using cutting-edge frameworks
  • Developed custom AI solutions across healthcare, finance, agriculture, manufacturing, and e-commerce sectors
  • Conducted workshops and training sessions on AI/ML technologies, upskilling professionals nationwide
  • Published multiple peer-reviewed research papers in prestigious conferences

Current Research Focus

Biological Neural Network Architecture Development
2025 - Present
Currently developing a novel biological neural network architecture that more closely mimics intricate processes observed in biological brains. This research is undergoing rigorous peer review for publication in a prestigious Springer Nature journal.
  • Integrating homeostatic regulation and adaptive repair mechanisms
  • Exploring applications in pharmaceutical and biological research domains
  • Enhancing capabilities of Large Language Models and AI agents
  • Advancing general AI system robustness and adaptability

Publications

A Novel Neuroplasticity-Based Approach for Enhanced Generalization in Computer Vision
2025
Conference Proceedings
Authors: Hakim, M. A., Ifty, R. A., Delowar, K. E., Shuvo, S. A., Tasneem, Z., & Alam, M. I.
  • Introduced BioLogicalNeuron architecture with calcium-dependent regulation and homeostatic control
  • Achieved 90.42% accuracy on CIFAR-10 (3.77% improvement over baseline)
  • Demonstrated 99.43% accuracy on MNIST and 93.27% on Fashion-MNIST
  • Advanced biologically-inspired computational methodologies in deep learning
NutriGuard: LLM-Driven Nutritional Assessment for Chronic Disease Prevention
2025
IEEE Conference Proceedings
Authors: Hakim, M. A., Ifty, R. A., Delowar, K. E., Chowdhury, S. H., Rashid, I., & Shakib, M.
  • Leveraged Large Language Models for comprehensive nutritional assessment
  • Developed personalized recommendations and risk assessment systems
  • Contributed significantly to Big Data, AI, and Machine Learning fields
  • Addressed chronic disease prevention through intelligent dietary analysis
Neuroadaptive Intelligence: A Biologically-Inspired, Self-Repairing Neural Layer
2025
Conference Proceedings
Author: Hakim, M. A.
  • Developed self-repairing neural layer with adaptive learning mechanisms
  • Specialized for molecular graph classification applications
  • Advanced biologically-inspired AI in scientific domains
  • Contributed to neuroadaptive intelligence research paradigm

Featured Projects

FounderAI - Executive AI Agent Platform
Developed a comprehensive multi-agent system providing startup founders with AI-powered C-suite expertise across marketing, product, technology, and operations.
  • Implemented multi-agent orchestration using CrewAI and LangGraph
  • Created specialized executive persona agents (CMO, CPO, CTO, COO)
  • Integrated Model Context Protocol (MCP) for seamless communication
  • Developed capabilities spanning market intelligence, technical architecture, and fundraising
LangChain LangGraph CrewAI Multi-Agent Systems
AI-Driven Tourist Spot Finder
Built an intelligent travel companion with multi-agent architecture, providing personalized destination recommendations and real-time travel insights.
  • Developed FastAPI production backend with scalable REST API architecture
  • Implemented ML recommendation engine with collaborative and content-based filtering
  • Integrated Large Language Models for dynamic destination descriptions
  • Created real-time data collection system for weather, pricing, and availability
FastAPI Machine Learning LangChain MongoDB
Health-Conscious Food Recommendation System
Engineered a personalized nutrition AI system with OCR integration for health condition-aware dietary recommendations.
  • Implemented advanced OCR system using Mistral OCR for food label analysis
  • Developed health analysis engine with LLM-powered nutritional assessment
  • Integrated RAG (Retrieval-Augmented Generation) for real-time medical data
  • Created personalized recommendation engine considering specific health conditions
Computer Vision OCR RAG Healthcare AI
Bengali Text-to-Speech Synthesis
Developed transformer-based language model fine-tuning for high-quality Bengali speech synthesis, addressing accessibility gaps for Bengali speakers.
  • Fine-tuned Pegasus model architecture for Bengali language optimization
  • Implemented comprehensive MLOps pipeline for automated training and deployment
  • Achieved natural-sounding voice generation with production-ready API
  • Created scalable inference pipeline for real-time speech synthesis
Transformers NLP MLOps Bengali Language

Technical Skills

Programming Languages

Python (Expert) MATLAB SQL JavaScript

ML/DL Frameworks

PyTorch TensorFlow Keras Scikit-learn Hugging Face Transformers FastAI

AI Agent Engineering

LangChain LangGraph CrewAI AutoGen LlamaIndex Semantic Kernel Model Context Protocol (MCP) RAG Systems

MLOps Tools

MLflow Git Actions Docker Kubernetes CI/CD Pipelines DVC

Cloud Platforms

AWS SageMaker AWS EC2 AWS S3 Google Cloud Platform Azure ML

Specialized AI Technologies

Large Language Models Computer Vision Natural Language Processing Speech Recognition Generative AI Federated Learning Explainable AI Biologically-Inspired AI Multi-Agent Systems

Education

Diploma in Engineering, Computer Science and Engineering (CSE)
Expected 2025
Bangladesh Sweden Polytechnic Institute
Pursuing comprehensive education in computer science and engineering with focus on artificial intelligence and machine learning applications.
Relevant Coursework:
  • Advanced Machine Learning and Deep Learning
  • Artificial Intelligence Principles and Applications
  • Neural Network Architectures and Optimization
  • Software Engineering and System Design
  • Data Structures, Algorithms, and Computational Complexity
  • Database Management and Big Data Systems

Languages

Bengali
Native
English
Professional Working Proficiency

Research Interests

My research interests span cutting-edge AI paradigms with a focus on integrating complementary technologies to build powerful, application-ready systems:
  • Biologically-Inspired Neural Networks: Developing self-repairing algorithms with homeostatic regulation for enhanced stability and performance
  • Large Language Model Innovation: Context-aware fine-tuning, efficient transformer architectures, and novel prompt engineering frameworks
  • AI Agent Architecture: Autonomous agents with advanced planning, multi-modal perception, and robust evaluation frameworks
  • General AI Systems: Multi-agent collaboration, cross-domain knowledge transfer, and comprehensive AI capability benchmarking
  • Applied AI in Healthcare: Intelligent diagnostics, personalized medicine, and biomedical data analysis

Professional Services

Available for collaboration and consultation in the following areas:
  • End-to-end Machine Learning solution development and deployment
  • Research paper writing and academic publication support
  • MLOps pipeline development and optimization
  • AI model fine-tuning, deployment, and performance enhancement
  • Custom AI/ML solutions tailored to specific business needs
  • Advanced LLM implementation and application development
  • Design and development of sophisticated AI agent systems
  • Training and workshops on cutting-edge AI technologies