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

Apis, Microservices, Rest Apis, Python, LLM and agent evaluation frameworks, model governance, RAG architecture, LLMs, reusable AI components, metadata filtering, embedding models, vector databases, agent memory design, tool-calling capabilities, agent development frameworks, retrieval strategies, backend services, Document Processing, observability and tracing, guardrails for AI agents, multi-agent orchestration patterns, automation scripts

DevSecOps, Docker, Kubernetes, Python, context-window management, LangGraph, structured output design patterns, hallucination mitigation, prompt injection defense, Agentic RAG architectures, LLM orchestration patterns

React, Docker, Python, Oauth2, Power Automate, Power Platform, FastAPI, Rest Apis, Azure, Kubernetes, AI Agents, Azure OpenAI, LLM Evaluation, LangGraph, Vector Databases, Azure AI Search, Microsoft Copilot Studio, Observability, LangChain, Generative AI, AI Security, LLMs, LLMOps, rbac, RAG, OIDC

technical communication , Apis, Sql, Databases, Cloud, Docker, Data Analytics, Python, AI Applications, Generative AI, LLMs, AI Agents, Customer Deployment, Natural-Language-to-SQL, Troubleshooting, AI Evaluation, Enterprise Data, MCP

Node.js, Typescript, Python, embeddings, vector search, audit logging, pgvector, Qdrant, security and privacy, LLM-powered features, LLM-as-judge, retrieval-augmented generation, chunking, evaluation pipelines, Access Control, Azure AI Search

snowflake , PostgreSQL, Dynamodb, Docker, Databricks, Kubernetes, Python, AWS, LangChain, CrewAI, Qdrant, Pinecone, AutoGen, LangGraph, Langfuse, LiteLLM, Weaviate

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

RAG (Retrieval-Augmented Generation), Amazon S3, Python, Api Gateway, Aws Lambda, Dynamodb, Devops, MLops, Rest Apis, Pinecone, Amazon SageMaker, OpenSearch, LangGraph, Vector Databases, Embeddings, Multi-Agent Systems, Microservices Architecture, semantic search, Knowledge Retrieval, ChromaDB, LangChain, Amazon ECS, Generative AI, LLMs, AWS Cloud Services, Agentic AI, FAISS, Amazon Bedrock, 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