Alireza S.

Generative AI & LLMs: GPT-3, GPT-4, LLaMA, Claude, Anthropic, Falcon, RAG (Retrieval-Augmented Generation), Enhanced retrieval accuracy, Contextual relevance, External data integration, Text generation, Language understanding, Conversational AI, Dialogue systems, Automated content generation, Text summarization, Question answering, Sentiment analysis, Task automation, AI-powered decision-making, Intelligent agents, Business process optimization Cloud AI, Edge Computing & Generative Models: Databricks, Amazon SageMaker, Microsoft Azure AI, Google Cloud AI, Hugging Face, OpenAI API, AWS Lambda, NVIDIA Jetson, AI at the edge, Low-latency processing, IoT integration, Real-time inference, Stable Diffusion, DALL-E, Midjourney, GANs, Variational Autoencoders (VAEs), Image-to-image translation, Style transfer, Deepfake generation, Super-resolution, Video synthesis, Model deployment, CI/CD for AI, Kubernetes for AI, AutoML, AI model monitoring Game Development & AI Integration: Unreal Engine, Unity, NVIDIA Omniverse, CryEngine, Godot, PlayCanvas, Dynamic environments, Terrain generation, Procedural textures, Automated level design, AI-driven narrative, Adaptive storylines, Player behavior modeling, Character AI, Emotional AI, AI agents, Strategy optimization, Reward systems, Learning-based NPCs, Deep learning models, Predictive AI, Real-time AI adaptation, Physics-based simulations Programming & Scripting Languages: Python, Lua, R, C#, C++, Assembly (SPIM, 8086), TensorFlow, PyTorch, Keras, Caffe, Theano, MXNet, Scikit-learn, ONNX, OMNET++, OpenAI Gym, MuJoCo, NS3, SUMO, AnyLogic, MATLAB, AI/ML pipelines, API development, Microservices, RESTful APIs, GraphQL, Docker, Kubernetes, Multi-device compatibility, Cloud-native apps, Edge deployment, Hybrid apps, Mobile integration Technical Leadership & Innovation: Data-driven decision-making, AI governance, AI ethics, Bias mitigation, Explainable AI (XAI), Personalization strategies, Customer segmentation, Predictive analytics, ROI maximization, Hyper-personalization, Targeted advertising, Customer behavior prediction, Sentiment analysis, Market trend analysis, Multimodal AI, Quantum machine learning, Transfer learning, Zero-shot learning, Meta-learning Others: RAFT (Recurrent All-pairs Field Transforms), Fine-tuning, Neural architecture search (NAS), Bayesian optimization, Continuous integration and delivery (CI/CD) for AI, Automated model retraining, Model versioning, Data pipeline management, Quantum computing in AI, Quantum algorithms, Quantum neural networks, Quantum-enhanced ML