Java, Microservices, Gcp, Docker, Rest Apis, Kubernetes, Python, AWS, LLMs, text clustering methods, embedding-based search, Hugging Face, search algorithms, cloud platforms, transformer models, semantic retrieval, ranking techniques, prompt engineering, RAG Retrieval-Augmented Generation, OpenAI

PostgreSQL, Docker, FastAPI, Kubernetes, Python, LangChain, model fine-tuning, agent memory systems, pgvector, RAG pipeline architecture, LLM evaluation and observability practices, financial close Record-to-Report accounting, prompt lifecycle management, platform-level engineering standards, Azure OpenAI, LLM engineering, LangGraph, context management strategies, Ragas, RLHF

Tensorflow, Machine Learning, Neural Networks, Pytorch, Deep Learning, Data preprocessing, Cloud platforms, Generative models, Feature engineering

graph databases , Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI

Apis, Version Control, Performance Monitoring, Gcp, MLops, Machine Learning Algorithms, Azure, Statistical Analysis, Python, AWS, Feature Engineering, Data Preprocessing, Model Lifecycle Management, ML Pipelines, Model Evaluation, Model Optimization, Deep Learning Techniques, Hyperparameter Tuning

Java, Rest Apis, Generative AI, AI evaluation methodologies, Python APIs, Prompt Management, Vector Databases, Agentic AI, Production-grade AI Agents, Multi-Agent Systems, AI ML technologies, Prompt Engineering, Data ingestion pipelines

Java, Spring Boot, Rest Apis, Python, Spring Framework, CrewAI, LangChain, Meta Llama, Pinecone, Anthropic, LangGraph, AutoGen, microservices architecture, Chroma, FAISS, Azure ADK, Milvus, OpenAI, Weaviate

Java, Machine Learning, Linear Regression, Data Cleaning, Sql, Tensorflow, Deep Learning, Git, Pytorch, Version Control Systems, Keras, Python, data pre-processing, support vector machines, scikit-learn, random forests, cross-validation, software engineering principles, R, feature engineering, hyperparameter tuning