Microservices, Debugging, Python, Apis, embeddings, AWS Bedrock, token management, Amazon SageMaker, Azure OpenAI, cloud AI services, LangGraph, structured outputs, OpenAI APIs, Google Vertex AI, backend integration, Large Language Models, CrewAI, LangChain, Generative AI, production-grade development, Anthropic APIs, modular application design, Semantic Kernel, prompt engineering, AutoGen, model APIs, LLM-based application development, LlamaIndex, agentic frameworks

Dsp, Gpu, C, Python, FP8, broadcast networks, PPA optimization, RTL SystemVerilog, output weight row-stationary, deep-learning operators, AI-accelerator micro-architecture, convolution, INT8, Rtl Design, mixed-precision, arithmetic FP32, matrix-multiply dataflows, sparsity acceleration techniques, compute datapath, BF16, AI compiler development, attention, high-throughput arithmetic datapaths, numerical formats, performance utilization models, GEMM, systolic spatial arrays

React, AWS, Python, Azure, Git, Agent tool integration, GIT Ops, RAG patterns, Tree of Thoughts, GenAI, LLM APIs, MCP tooling, vector databases, LangSmith, multi-agent orchestration, LangChain, Classical ML, LangGraph

Tensorflow, Numpy, Git, Machine Learning, Pandas, Pytorch, Artificial Intelligence, Python

data engineering , snowflake , Ml, Azure Data Factory, Devops, Pyspark, Power Bi, Azure Databricks, Automation, Python, Azure, Denodo, Azure DevOps, YAML pipelines, Azure Cognitive Services, Azure Key Vault, Snowpark, Ai, ADLSv2, Azure App Services

Ml, Machine Learning, Distributed Systems, Nlp, MLops, Kubernetes, Python, AWS, LangChain, Generative AI, Cloud-native application development, LLMs, AI Agents, Data Pipelines, RAG systems, Ai, Agentic AI applications, production AI systems, LangGraph, Vector Databases, Microservices Architecture, Statistical Modeling