data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering

Python, Hugging Face TGI, layout-aware models, rule engines, vision-language models, TesserAct, exception routing, GPU-backed serving stacks, vLLM, deterministic validation systems, OCR engines, PaddleOCR, schema enforcement

Typescript, Node.js, Python, DevOps practices

Technical Leadership, Strong Python Engineering, Systems Thinking at Scale, Cloud and Platform Engineering, LLM Retrieval and Knowledge Systems, Agentic Systems and Orchestration, Production AI Architecture

secure coding , Argo, Solid Principles, MLops, Reactjs, Kubernetes, Python, CrewAI, Airflow, Static Analysis, MLflow, LangGraph, AutoGen, Kubeflow, LlamaIndex

Java, Sql, Reactjs, Python development, GenAI, RAG architecture, LLMs, Datadog APM, Python APIs, Azure AI Foundry, Vector Databases, GitHub Copilot, MCP Model Context Protocol, Agentic AI

Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring

Microservices, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apis, Gcp, FastAPI, Azure, Kubernetes, vector search, embeddings, AI orchestration frameworks, Hugging Face, MLflow, CI CD, Azure OpenAI, event-driven architecture, LangChain, LLMs, Scikit-learn, Anthropic, prompt engineering, RAG, OpenAI, LlamaIndex