I develop custom AI and machine learning solutions from research and prototyping to production deployment. My expertise includes large language models (LLMs), NLP, computer vision, deep learning, predictive analytics, ai automation and API development.
Services include:
• Custom AI application development
• LLM integration and fine-tuning
• Multi-agent AI systems
• NLP and text analytics solutions
• Computer vision and medical imaging projects
• Machine learning model training and evaluation
• Forecasting and predictive analytics
• FastAPI backend development and deployment
• Hugging Face transformer fine-tuning
• Data preprocessing, feature engineering, and model optimization
• AI-powered automation workflows
Recent project experience includes medical AI systems for MRI analysis, air quality forecasting platforms using XGBoost and LSTM models, lung nodule detection from CT scans, multi-speaker diarization systems, and transformer-based sentiment analysis.
I focus on clean, maintainable code, reproducible workflows, thorough documentation, and practical AI solutions that can move beyond prototypes into real-world use. Whether you need an AI proof of concept, model optimization, API integration, or a complete end-to-end machine learning system, I can help deliver reliable results.
Technologies: Python, PyTorch, TensorFlow, Scikit-learn, FastAPI, Hugging Face Transformers, OpenCV, Pandas, NumPy, XGBoost, LSTM, CNNs, NLP, Computer Vision, Machine Learning, Deep Learning, and Generative AI.