software engineering practices , Computer Vision, Bash Scripting, automation, Python Programming, deep learning concepts, semantic segmentation

Python Development, Output Validation, GenAI Frameworks, SQL Data Warehouse Awareness, LLM Integration, Prompt Engineering, Version Control MLOps

Power Bi, Google Cloud, Tensorflow, Pytorch, Keras, Azure, Python, AWS, Computer Vision, LangChan, PowerAutomate, AgenticAI

Artificial Intelligence, Machine Learning, Deep Learning, Nlp, AI/ML Architecture, Generative AI, Large Language Models, LLMs, RAG, Retrieval-Augmented Generation, Agentic AI, AI Agents, Prompt Engineering, LLM Fine-Tuning, Vector Databases

Github, Windows Server, Ssh, Http, Dns, Firewalls, Rest Api, routing, Jenkins, Git, Linux, Wmi, Cloud Infrastructure, SNMP, Python, WinRM, Vector databases, Anthropic, Infrastructure Engineering, OpenAI, Gen AI APIs

Servicenow, Rust, Typescript, Iso 27001, Terraform, Ansible, Waf, Kubernetes, Python, REST API orchestration, Infrastructure as Code, Tower AWX, Go, Istio, Jira Service Management, CIS, Zero Trust principles, nist

Python, CrewAI AutoGen, LangChain, Generative AI frameworks, LlamaIndex, Semantic Kernel

BigQuery, Microservices, Cloud Storage, Git, Docker, Rest Apis, Kubernetes, Python, Cloud Functions, GKE, Vector databases, Cloud Run, Gemini models, Vertex AI, Semantic search solutions

Jfrog Artifactory, Google Cloud Platform, Docker, Databricks, Kubernetes, Python, Api Gateway, DevOps practices, LLM concepts, AlloyDB, CloudRun