Python, embeddings, model fine-tuning, model evaluation, AI agents, NLP concepts, prompt engineering

Python, Sql

Algorithms, Java, Golang, Machine Learning, CSS, HTML, Typescript, Javascript, Data Science, data structures, Python, developer tools, test automation frameworks, statistical methods

Tensorflow, Pytorch, Gcp, AWS, Kubernetes, Python, Azure, Docker, AI ML frameworks, OpenAI Assistants, Hugging Face, embeddings, Weaviate, LangChain, Pinecone, NLP concepts, RAG pipelines, Milvus, Ray, MLflow, vector databases, AutoGen, model evaluation, FAISS, prompt engineering

Java, Distributed Systems, Golang, Rust, Typescript, Node.js, Python, Apis, Multi-agent coordination, LLM internals, Agentic evaluation, AI agents, Scalable backend architectures, AutoGen, LangChain, MLOps practices, AI deployment pipelines, Observability tooling, LangGraph

Matplotlib, Numpy, Scipy, Pandas, Seaborn, Python, Sql, Scikit-learn

Celery, Neo4j, Elasticsearch, Python, FastAPI, Kubernetes, Airflow, pgvector, Argo Workflows, Qdrant, Pinecone, Prefect, OpenSearch, LangGraph, Temporal, DSPy, Microsoft AutoGen, Haystack, LangChain, CrewAI, PydanticAI, Semantic Kernel, Dagster, Milvus, Weaviate, LlamaIndex

MCP (Model Context Protocol), Phoenix, Datadog, Python, LLM-based systems, OpenTelemetry, Langfuse, Arize, Structured information extraction, Search, Vector databases, RAG, Knowledge graphs, Keyword search, Reranking, Hybrid retrieval, Agent-tool ecosystem

Pytorch, Python, KV-cache, supervised fine-tuning, behaviour cloning, LLM systems, PEFT, evaluation harnesses, data pipelines, Distillation, LoRA, inference optimisation, on-device deployment, batching, RL, quantization