my AI/ML models.
RAG & LangChain
Retrieval-Augmented Generation framework combining LLMs with enterprise knowledge bases. Applied in consulting operating systems for automated deliverable generation, requirements documentation, and intelligent business analysis workflows.
XGBoost & Gradient Boosting
High-performance gradient boosting framework for predictive modeling and classification. Applied in drug response prediction, cancer treatment outcome forecasting, KPI trend analysis, and data-driven business decision support.
Qlib – Quantitative Modeling
Microsoft's AI-powered quantitative investment platform for building end-to-end ML pipelines in finance. Applied in algorithmic trading, financial time series forecasting, portfolio optimization, and risk modeling with state-of-the-art deep learning strategies.
LLaMA 4 Maverick 400B
Meta's latest open-source large language model with 400 billion parameters, featuring a mixture-of-experts architecture for superior reasoning and multilingual capabilities. Utilized in AI agents for automated document generation, business analysis workflows, and intelligent decision support systems.
Gemini 2.5 Pro
Google DeepMind's latest multimodal AI model combining vision, language, and advanced reasoning. Applied in real-time analytics dashboards, intelligent automation pipelines, and AI-powered consulting workflows for enterprise decision support.
Apache Spark MLlib
Scalable machine learning library for big data processing and distributed analytics. Applied in building end-to-end ML pipelines, large-scale data transformation, business intelligence automation, and enterprise forecasting systems.
Med-PaLM 2 & Medical LLMs
Google's medical large language model achieving expert-level performance on clinical reasoning tasks. Applied in personalized oncology treatment prediction, clinical Q&A, and healthcare decision support aligned with FHIR standards.
MONAI – Medical Imaging AI
NVIDIA's open-source deep learning framework for medical image analysis including X-ray classification, CT scan interpretation, and radiology workflow optimization. Powers diagnostic assistance and automated reporting in healthcare delivery platforms.
BioBERT – Biomedical NLP
Pre-trained biomedical language representation model for mining biomedical text. Applied in clinical document analysis, drug interaction extraction, oncology literature mining, and automated medical terminology processing.