Ml, Algorithms, Java, Golang, multi-threading, C, concurrency, Networking Concepts, BGP, System Design, Synchronization, Python, complexity analysis, Ai, large-scale distributed systems

Ml, MLops, ECS, Dynamodb, Data Governance, Emr, Python, AWS cloud services, Ai, EKS

Ml, Emr, Data Governance, Dynamodb, Python, ECS, MLops, Ai, EKS, AWS cloud services

data engineering , Pandas, Numpy, MLops, postgresql, FastAPI, Docker, python, Kubernetes, langchain, mlflow, embeddings, ollama, anthropic claude, pgvector, azure openai, rag workflows, generative ai, vector search, ci/cd pipelines, model governance, data pipelines, langgraph, openai apis, model evaluation, qdrant, prompt engineering

Databases, Debugging, Backend Engineering, self-hosting, security discipline, ML engineering, geospatial analytics, Data Handling, ML models, data flows

workflow management , Java, Ml, Restful Api, Prometheus, Kafka, Grafana, Kotlin, Ai, error handling, API orchestration

containerization , Pytest, Ml, Agile, Microservices, San, Nas, virtualization, AWS, Cloud Technologies, Storage Technologies, Kubernetes, Python, Azure, Rest Api Automation, Gcp, Docker, Llm, Ai, CI CD processes, Object Store, Workflow Data Analytics

snowflake , Data Lineage, Pyspark, Automated Testing, MLops, Spark, Data Governance, Python, AI workflows, privacy and security controls, CI CD pipelines, compliance standards, Palantir Foundry, data pipeline architecture

.Net Core, containerization , Asynchronous programming, Distributed Systems, Microservices, Docker, NoSQL databases, AI ML concepts, Responsible AI practices, Linux fundamentals, REST Web APIs, AI APIs SDK integrations