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

Pytorch, Tensorflow, Python, NLP techniques and libraries, Basic MLOps practices, Azure ML or equivalent cloud ML services

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

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

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