graph databases , Jax, Pytorch, Docker, FastAPI, Python, Kubernetes, Hugging Face, Ray, vLLM, LangGraph, Vector Databases, GPU Computing, DSPy, MCP, LlamaIndex

SAP, Automated Testing, React, Typescript, Docker, Python, CSS, Git, Microsoft 365, Html5, FastAPI, Rest Apis, Multi-Agent AI, CI CD, Azure OpenAI, LangGraph, Pydantic, AI orchestration, LangChain, Generative AI, Model Context Protocol, LLMs, DevOps practices, cloud-native applications, Azure AI Services, Agentic AI, streaming AI responses, RAG, Sharepoint, asynchronous services, Amazon Bedrock

data engineering , Sql, Gcp, MLops, Azure, Python, AWS, LangChain, Agentic AI frameworks, Model monitoring, LLMs, LLMOps, Performance optimization, Data processing frameworks, AI deployment pipelines, LangGraph, Vector Databases, Data ingestion, RAG, ETL pipelines

secure sdlc , product security , threat modeling , API security, Application Security, Cloud Security, Burp Suite, DevSecOps, Github, Automation, Python, Azure, Jenkins, SCA, Secret Scanning, TruffleHog, Checkmarx, One SAST, OIDC, Trivy, Container Security, OAuth 2.0, GitHub Actions, IaC, Microservices design, Go, SAST, Security Architecture

Java, Google Cloud, AWS, Enterprise Security, Python, Azure, Iam, LangChain, Go, Langraph, GoogleADK, rbac, A2A protocols, sandboxing, cloud-native DevOps practices

Databricks, AWS, FastAPI, Python, LLMs, LangChain, Semantic Kernel, Azure AI Foundry, LangGraph, Transformers

Jax, Pytorch, contrastive models, clinical NLP, vision–language transformers, multimodal learning, 3D data representations, DICOM pipelines, radiology workflows, Medical Imaging, large-scale training and inference, LangChain, clinical ontologies, UMLS, RadLex, LLaMA Index, snomed, agent frameworks, LLM-based agents, Haystack

Python, AWS Bedrock, RAG pipelines, OpenSearch, CrewAI, Pinecone, Bedrock Agents, LangGraph

React, Node, Php, Python, Google Cloud, Next.js, zoho crm, AI coding assistants

Bi Tools, Sql, AI in production settings, compliance data privacy, ticketing workflow platforms, vector databases, advanced observability, SLO SLA design, feature flags, knowledge base authoring, problem-solving skills, incident response practices, retrieval RAG, experiment tracking, ML operations tooling, workflow orchestration, distributed tracing, scripting automation, Root Cause Analysis, prompt engineering, version control Git, content ingestion pipelines, canary rollback strategies, Markdown-based runbooks, AI literacy, fine-tuning pipelines, Effective Communication