Mark G.

AI Engineer | Data Scientist | LLMs | Agentic AI | RAG | AI Automation With over 5 years of hands-on experience in AI and Data Science, I specialize in designing, building, and deploying intelligent AI solutions that solve real-world business problems. Currently working as a Data Scientist at EVA Pharma, I develop machine learning and AI-powered applications while continuously expanding my expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and AI automation. Key Skills & Expertise: Machine Learning & Deep Learning: 🧠 Developed and deployed machine learning and deep learning models for predictive analytics, computer vision, natural language processing (NLP), recommendation systems, and classification/regression tasks using modern AI frameworks. Large Language Models (LLMs): 🤖 Extensive experience building LLM-powered applications, Agentic AI systems, multi-agent workflows, and advanced RAG pipelines using LangChain, LangGraph, AutoGen, and modern LLM APIs to create intelligent conversational and knowledge-based systems. AI Automation & AI Agents: ⚡ Designed AI-powered automation workflows and autonomous agents capable of planning, tool calling, retrieval, and multi-step reasoning to streamline business processes and improve operational efficiency. AI Application Development: 📱 Built and deployed end-to-end AI applications with intuitive user interfaces, integrating machine learning models into scalable web applications using FastAPI and Flask. Data Science & Analytics: 📊 Built predictive models, performed advanced data analysis, and developed interactive dashboards with Power BI to transform data into actionable business insights. OCR, ASR & Speech AI: 🔊 Developed Optical Character Recognition (OCR), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions for real-world applications involving document processing and speech technologies. MLOps & LLMOps: ⚙️ Streamlined model deployment, monitoring, evaluation, and lifecycle management using MLflow, Docker, Git, and modern MLOps/LLMOps practices to build scalable and production-ready AI systems. Backend Development for AI: 🛠️ Designed scalable AI backends and REST APIs using FastAPI and Flask, integrating databases, vector stores, authentication, and external AI services for reliable AI deployments. Tech Stack: Python, SQL, Java, C++, TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, LangGraph, AutoGen, FastAPI, Flask, REST APIs, PostgreSQL, MongoDB, Supabase, Docker, Git, MLflow, Pandas, NumPy, Power BI. Why Work With Me? High-Quality Solutions: 🚀 I am committed to delivering scalable, reliable, and production-ready AI solutions tailored to your unique business needs, ensuring high performance and long-term value. Clear Communication: 📢 I believe successful projects are built on transparent communication and collaboration. I work closely with clients throughout the development process to ensure expectations are aligned and objectives are achieved efficiently. Client-Centric Approach: 🤝 I prioritize understanding your business challenges and goals, delivering AI solutions that provide measurable impact and practical value. Technical Expertise: 💡 My expertise spans machine learning, deep learning, LLMs, Agentic AI, RAG systems, AI automation, backend development, and MLOps, enabling me to transform complex AI challenges into scalable and effective solutions. Let’s bring your next AI project to life!