Retrieval-Augmented Generation (RAG), C#, Orchestration, C++, Numpy, Pytorch, Pandas, MLops, Python, Etl, Vector search, Evaluation, LangChain, Anthropic Claude, LLMOps, AI coding assistants, Agentic AI solutions, Azure OpenAI, LangGraph, Embeddings, Data pipelines, Tool calling, OpenAI-compatible APIs

Apis, Microservices, system integration, MLops, Microsoft Azure, AWS, cloud-native solution development, continuous integration for AI models, AWS Developer CLI, Agentic AI solutions, GitHub Copilot, AI-assisted coding tools, vibe coding environments

Tensorflow, MLops, Pytorch, XGBoost, AWS, Python, Kubernetes, Docker, Apis, Microsoft Azure, Google Cloud Platform, Weaviate, LlamaIndex, Prompt Engineering, Semantic Kernel, AI Agents, LangChain, Pinecone, ChromaDB, Scikit-learn, vector databases, Generative AI technologies, Azure AI Search, Conversational AI solutions, microservices architecture, FAISS

Sklearn, Python, AWS, Sql, Gcp, Containers, Azure, NL2SQL pipelines, embeddings, Pipelines, structured outputs, model registry, chatbots, LangChain, experiment tracking, tool function calling, LLMs, Forecasting, feature pipelines, analytics agents, drift monitoring, RAG, CI/CD, statsmodels, LlamaIndex

Exploratory Data Analysis, Sql, Tensorflow, Nosql, Azure ML, Pytorch, XGBoost, Python, Etl, data preprocessing, ML model evaluation, Scikit-learn, MLflow, Vertex AI, Kubeflow, feature engineering

Static timing analysis, Splunk, Unix, AI ML, Linux, Lsf, Python, Bitbucket, Jenkins, Git, DesignSync, EDA Tools, make, GenAI, Convolutional Networks, CI CD process, SW development and debug tools, Design Verification, reinforcement learning, Graph Neural Networks, Dft, Design revision control, Power-aware flows

object detection , Machine Learning, Artificial Intelligence, Tensorflow, Numpy, Git, Pandas, Pytorch, Opencv, Image Processing, Python, Computer Vision, Segmentation, CNNs, Deep Learning Architectures, Vision Transformers

containerisation with Docker, secrets management, pipeline automation with Azure DevOps, networking and load balancing, relational and non-relational databases, developing production-grade backend services using Python, asynchronous programming frameworks, cloud provisioning frameworks such as Terraform or CloudFormation, infrastructure-as-code, LLM API gateway technologies, container orchestration such as ECS Fargate, identity and access management technologies, observability and monitoring tools, multi-provider integration across major cloud AI platforms