Large Language Models (LLMs), Image Processing, Neural network architectures, Generative AI, Agentic AI, On-premises infrastructure, Deep learning frameworks, Production-grade AI pipelines, Cloud AI services, Chatbot development

Machine Learning, Nlp, Docker, Python, Databases, Sql, Deep Learning, Rest Apis, vector search, embeddings, vector databases, CI CD, model evaluation, backend systems, retrieval, AI APIs, Generative AI, LLMs, scalable application architecture, prompt engineering, performance optimization, cloud platforms

Large Language Models (LLMs), Tensorflow, Pytorch, Python, Computer Vision, Generative AI, Hugging Face ecosystem, RAG systems, Prompt Engineering, Agentic AI, Deploying optimized models in cloud and/or edge environments, NLP techniques

Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Kubernetes, Python, AWS, LangChain, Generative AI, LLaMA, Scikit-learn, Pinecone, GPT, FAISS, LoRA, Weaviate, QLoRA, LlamaIndex, Large Language Models

Numpy, Git, Pandas, Databricks, Python, Sql, scikit-learn, AWS SageMaker, Vector databases, Similarity search concepts, NoSQL databases, Jupyter, Generative AI models

data engineering , Apis, Microservices, Gcp, Distributed Systems, System Design, Azure, Python, AWS, GenAI, embeddings, LLMs, cloud platforms, vector databases, SaaS-based architecture, Agentic AI, RAG