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

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

Sql, JIRA, Api Testing, Git, Gcp, MLops, Selenium, Azure, Python, AWS, Great Expectations, MLflow, Model Validation Testing

Microsoft .NET, Azure Databricks, C Sharp, Azure Data Factory, Cosmos DB, Azure Blob Storage, Azure Data Warehouse, data modeling techniques, HD Insight, Azure SQL Database, Azure Data Lake Storage, Azure cloud platform, AI ML algorithms, AI ML frameworks

AI ML, Tensorflow, Nlp, Pytorch, Python, spaCy, Generative AI, Langchain, Transformers, LLMs, scikit-learn, Hugging Face, anomaly detection, Pinecone, prompt engineering, Word2Vec, FAISS, TF-IDF, BERT, ChromaDB, Langraph

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning

Genesys, Kafka, Rtp, Python, Websocket, Gcp, Amazon Connect, Cti, Golang, CCaaS, Event-driven systems, Data graph, Embeddings, LLM APIs, NATS, Knowledge graph, AI/ML pipelines, five9, CRM connectors, Model serving, Voice SIP, Redpanda, RAG, Fault-tolerant connector design, Nice, SIPREC

C, Python, AI-ML based compiler tools, graph optimization techniques, graph programming model

Github, C, C++, Tensorflow, Algorithms, Pytorch, Debuggers, Multithread programming, CONV, Object-oriented programming, TVM, MLIR, ONNXRuntime, Operating Systems concepts, Profilers, Source code control systems, GEMM