Andreas A.

TOP RATED PLUS 🏆 Building production-ready AI & Machine Learning systems that turn complex data, documents, and business processes into reliable, scalable solutions — not just prototypes. Specialized in LLMs, RAG Systems, AI Agents, Predictive Modeling, Forecasting, NLP, and ML Engineering, covering the complete lifecycle from architecture and experimentation to evaluation, deployment, and production optimization. Strong mathematical foundation with a First-Class Honours degree in Mathematics and an MSc in Data Analytics, combined with hands-on engineering experience building practical AI/ML systems for real-world applications. 🤖 AI & LLM SYSTEMS • LLM applications powered by OpenAI, Anthropic Claude, Gemini, and other models • RAG systems over private documents, databases, and business knowledge • AI Agents and agentic workflows with tools, APIs, and structured outputs • Semantic search, embeddings, vector databases, and hybrid retrieval • LLM evaluation, hallucination reduction, grounding, and guardrails • Multi-model and model-agnostic AI architectures 📊 MACHINE LEARNING & PREDICTIVE ANALYTICS • Predictive modeling and advanced analytics • Time-series forecasting and anomaly detection • Classification, ranking, and pattern recognition • NLP, information extraction, and document intelligence • Statistical modeling and data-driven decision systems • Model evaluation, validation, and performance optimization ⚙️ AI ENGINEERING & AUTOMATION • End-to-end AI/ML architecture and implementation • AI workflow automation and business-system integrations • REST APIs and external system integrations • Data ingestion, transformation, and processing pipelines • Production ML APIs and batch pipelines • Deployment, monitoring, evaluation, and optimization 🚀 SELECTED WORK ▸ LLM & RAG Knowledge Systems Domain-specific AI systems using embeddings, vector retrieval, structured context, and grounded generation to provide reliable answers across internal documents and private knowledge bases. ▸ Financial Anomaly Detection Hybrid deep-learning and statistical models designed to identify irregular patterns across large-scale financial and time-series datasets. ▸ Forecasting & Predictive Analytics Temporal machine-learning models for forecasting operational metrics, identifying trends, and determining key drivers behind performance changes. ▸ AI Conversational Systems Transformer and LLM-based conversational solutions combining contextual understanding, intent detection, retrieval, and intelligent response generation. 🛠️ CORE TECHNOLOGY AI & LLMs: •LLM • RAG • AI Agents • LangChain • LangGraph • Embeddings • Vector Search • LLM Evaluation Machine Learning: • PyTorch • TensorFlow • Scikit-Learn • Transformers • Predictive Modeling • Forecasting • NLP • Anomaly Detection Engineering: • Python • SQL • REST APIs • Vector Databases • Data Pipelines • Model Deployment • Automation 🎯 FROM CONCEPT TO PRODUCTION Architecture → Data → AI/ML Development → Evaluation → Integration → Deployment → Monitoring For businesses building an AI product, RAG/agentic system, predictive ML solution, or AI-powered automation, send a message to discuss the requirements and determine the best technical approach.