Transforming complex data challenges into intelligent solutions through cutting-edge machine learning, computer vision, and large language models.
Passionate AI Engineer dedicated to creating intelligent systems that solve real-world problems
As an AI Engineer and Machine Learning Researcher, I specialize in developing cutting-edge solutions that bridge the gap between complex data challenges and practical business applications. My expertise spans across Large Language Models, Computer Vision, and Deep Learning architectures.
I'm passionate about creating AI systems that not only perform exceptionally but also provide meaningful impact. From building intelligent chatbots and recommendation systems to developing computer vision models for medical imaging, I approach each project with a focus on innovation, scalability, and real-world applicability.
Mastering the tools and technologies that power modern AI systems
Advanced expertise in supervised, unsupervised, and reinforcement learning algorithms. Experience with ensemble methods, neural networks, and model optimization techniques.
Specialized in LLM fine-tuning, RAG systems, prompt engineering, and transformer architectures. Experience with GPT, BERT, and custom model development.
Expert in image classification, object detection, semantic segmentation, and medical imaging. Proficient with CNN architectures and vision transformers.
Expert-level Python development with TensorFlow, PyTorch, Scikit-learn, and other ML libraries. Strong background in data science and MLOps practices.
Experience with model deployment, containerization, cloud platforms (AWS, GCP, Azure), and CI/CD pipelines for machine learning systems.
Proficient in data preprocessing, feature engineering, ETL pipelines, and big data technologies. Experience with SQL, NoSQL, and distributed computing.
Showcasing innovative AI solutions and machine learning applications
Advanced conversational AI powered by fine-tuned language models with context awareness and multi-turn dialogue capabilities.
Deep learning system for automated medical image classification and anomaly detection with 95%+ accuracy.
End-to-end ML pipeline for real-time predictions with automated feature engineering and model monitoring.
NLP-powered document processing with entity extraction, summarization, and intelligent search capabilities.
Real-time object detection service with custom YOLO implementation and RESTful API for production deployment.
Hybrid recommendation system combining collaborative filtering and content-based approaches for e-commerce.
Ready to transform your ideas into intelligent AI solutions? Let's collaborate!