Aws Lambda, Machine Learning, Design Patterns, Dependency Injection, Rest Apis, Python, OOP principles, event loops, fault-tolerant cloud services, JSON serialization, modularity, Distributed System Design, asyncio, queue-based orchestration

Integration, Api Development, Python, Generative AI, LLMs, DevOps practices, Agentic frameworks

or Google Cloud., PyTorch., AWS, Azure, Tensorflow

Natural Language Processing, AI ML, Tensorflow, Pytorch, Python, Generative AI, Langchain, Transformers, LLMs, scikit-learn, Hugging Face, Pinecone, anomaly detection, prompt engineering, spaCy, Word2Vec, FAISS, TF-IDF, BERT, ChromaDB, Langraph

AI Integration Tools - LangChain LlamaIndex, Tensorflow, Pytorch, Machine Learning Frameworks, AI model fine-tuning techniques, Prompt engineering, AWS Bedrock, Vector Database architectures, Advanced Python programming for AI ML applications, Retrieval Augmented Generation RAG, Hugging Face, LoRA Low-Rank Adaptation techniques, Amazon SageMaker, Machine Learning architectures, Generative AI Technologies, AI system design and integration, GraphRAG methodologies, Cloud-native AI solution design, Large Language Models LLMs, AWS AI services, Agentic AI design principles

Scrum, Sql, Tensorflow, Nlp, Pandas, Pytorch, Docker, Agile, Azure, Python, AWS, embeddings, scikit-learn, vector databases, CI CD, Transformers, RAG pipelines

Distributed Computing, Hadoop, Tensorflow, Pytorch, Spark, Python, LLMs, model versioning, prompt engineering, big data tools, MLOps tools, ML frameworks