PostgreSQL, Flask, FastAPI, Rest Apis, Python, Prompt engineering, LLM platforms, Vector databases, Generative AI tools, Supabase

Aws Lambda, Neo4j, Docker, Python, CrewAI, PgVector, Qdrant, gRPC APIs, Asyncio, FalkorDB, LangGraph, GCP Cloud Functions, Pydantic, ChromaDB, RAG pipelines

react.js , snowflake , Node.js, Gcp, Docker, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Snowflake Cortex AI, Azure AI Foundry, LangGraph, Generative AI LLMs, Amazon Bedrock

Logging, API design, Debugging, Python, Unsupervised Learning, Cloud Infrastructure, FastAPI, data pipelines, RAG systems, Reliability, supervised learning, model evaluation, Security, experimentation, service orchestration, Access Control, voice AI workflows, text-to-speech, fine-tuning, LLMs, production architecture, AI system performance measurement, maintainability patterns, speech-to-text, prompt engineering, computer vision systems, agentic workflows, model adaptation strategies, engineering quality, async workflows, deployment monitoring

Computer Vision, Tensorflow, Rest Apis, MLops, Pytorch, Python, Nlp, AWS SageMaker, Feature Engineering, Model Deployment Pipelines, Prompt Engineering, Scikit-learn, Data Preprocessing, Azure AI, Microservice Architectures, Google Vertex AI

FastAPI, Neo4j, Firebase, Typescript, Javascript, Weaviate, Python 3.11, NLP techniques, Firestore, LangChain, Generative AI, LangGraph

unstructured data , containerization , Tensorflow, Pytorch, Gcp, Data Governance, Microservices, AWS, Kubernetes, Python, Docker, Apis, LLMs, Security, feature engineering, ML AI libraries, scikit-learn, cloud GenAI platforms, Azure AI Services, RAG, performance profiling, moderation systems, Content Filtering, privacy best practices, vector databases, inference cost optimization, Garak, retrieval pipelines, observability, Hugging Face ecosystem, model evaluation, structured data