Workflows, Pyspark, Data Governance, Data Lineage, Data Warehousing, Sql, Dimensional Modeling, ELT, Spark, Databricks, Python, Etl, Serverless compute, RAG frameworks, LLM integration, MLflow, Batch and real-time streaming data, Modern BI tools, Unity Catalog, Star schemas, Delta Lake

Reinforcement Learning from Human Feedback (RLHF, Cloud platforms (AWS, Vector databases (Pinecone, Azure, Python, Sql, Databases, Tensorflow, Deep Learning, Machine Learning, Pytorch, Gcp, Nlp, FAISS, Data pipeline design, Model fine-tuning, MLOps tools, Weaviate, Prompt engineering

Python, Cloud Infrastructure, AI ML architecture, enterprise data warehouses, data pipelines, LLM-powered solutions, data solutions, generative AI applications, data lakes, intelligent agents

Java, Golang, Devops, Webrtc, Kubernetes, Python, real-time audio, self-hosted Voice AI models, Agents, prompt engineering, Voice AI systems, Conversation Management, TTS, STT, Telephony, Audio Acquisition, Speech Generation, LLM-based applications

Sql, Java, Python, Nosql, Kubernetes, Restful Apis, Go, AI ML technologies, AI productivity tools

Python, LLM-powered agents, API design and integration patterns

pruning , Tensorflow, Pandas, Numpy, Dsp, Deep Learning, Machine Learning, Pytorch, Python, Scipy, scikit-learn, Ecg, Signal Processing, PPG, eeg, cloud pipelines, fixed-point implementation, emg, quantization

Machine Learning, multithreading, Deep Learning, Spark, Databricks, Azure queues, vector search, Document Intelligence, AI Services, Azure OpenAI language models, Advanced Python proficiency, Packaging, Azure AI Ecosystem, GPT models, Cognitive search, load testing of generative AI applications, data exploration, Document Processing, software engineering skills, building machine learning models

Production deployment., Python, Llm, RAG, Vector DB, LangChain/LangGraph, Agentic AI, + Tool Calling/MCP + Evaluation, Azure OpenAI/AWS Bedrock + FastAPI