Tensorflow, Machine Learning, Pytorch, Azure, Google Cloud, AWS, Deep Learning, Feature Engineering, Data Preprocessing

Python Programming, metrics, evaluation datasets, fine-tuning, LLM and AI fundamentals, Analytical Skills, AI agent architecture, prompt optimization, production ML AI systems, structured testing, benchmarks, model and LLM evaluation, root-cause analysis, model improvement

error analysis , Machine Learning, Natural Language Processing, Deep Learning, Numpy, Pytorch, Pandas, Python, Hugging Face Transformers, PDF parsing frameworks, Model evaluation metrics, TesserAct, Scikit-Learn, LayoutLM, Document OCR processing tools, PaddleOCR, Transformer-based architectures, Statistical Sampling

data engineering , .NET, production deployment , Java, Scalability, Data Science, Cloud, System Design, Backend Engineering, Integration, Python, ML Engineering, Generative AI, LLMs, Agentic AI, Security, RAG, architecture, AI frameworks, AI application development

Machine Learning, Gcp, Docker, Flask, FastAPI, Rest Apis, Azure, Kubernetes, Python, AWS, LangChain, Airflow, Generative AI, Hugging Face, MLflow, Pinecone, Agentic AI, FAISS, ChromaDB, Weaviate, Prompt Engineering, LlamaIndex

Django, Git, Docker, FastAPI, Rest Apis, Python, Microservices, PostgreSQL, Prometheus, Kafka, Grafana, Datadog, Sql, Nosql, Gcp, MySQL, MongoDB, Splunk, Azure, Kubernetes, AWS, Generative AI, LLMs, CI CD automation, AI ML concepts, RAG, Event-driven architectures

MLops, Python, RAG deployment patterns