Api Integration, Agent tooling, multimodal agents, Agent architectures, reinforcement learning, Data Evaluation, model training, Memory Tools training, annotation workflows

MLOps tools (MLflow, Vector databases (Pinecone, Weights & Biases, ChromaDB), Kubeflow), Api Development, Tensorflow, System integration, Git, Pytorch, Docker, Python, Kubernetes, RAG embeddings, Milvus, Cloud-native environments, CI/CD, AI agents, Multi-agent architectures, FAISS

Jax, Pytorch, Machine Learning, Python, OpenAI-style APIs, Inference systems, Vector DB, LLMs, LLaMA, Training loops, Neural network architectures, Qwen, Model orchestration, Data pipelines

containerization , Api Management, Application Maintenance, AI Agents, Implementation of Security Applications, Computer Science, Collecting Information, Project Integration, mitigation, Design, Collaboration With Stakeholders, Evaluation Methodology, capability development, Backend Integrations, End-To-End Design, Technology Evaluation

Pytorch, Python Programming, LSTMs, reinforcement learning, RNNs, graph theory, Heterogeneous GNNs, Hugging Face, PyTorch Geometric, Nvidia Triton, GNNs, Nvidia NIMs, HGNNs, VLLM, Agentic AI, Transformers, AI reasoning

Api Integration, Database Management, System Testing, Debugging, Application Deployment, Software Development Methodologies, Python, Data Processing, AI technologies, ERP systems, Microsoft Dynamics 365 Business Central, machine learning concepts

pruning , Testing, Tensorflow, Pandas, Pytorch, MLops, Python, automated model training, quantisation, model optimisation techniques, knowledge distillation, Monitoring, Deployment, AI ML modelling

.NET, C#, React, Docker, Flutter, Prompt engineering, LLMs, RAG vector databases, Azure OpenAI Functions, REST API design and integration, Azure DevOps CI/CD, AKS, Agentic AI workflows, Microsoft Azure App Services

Machine Learning, Artificial Intelligence, Api, Python, Artificial Intelligence Application, Direct experience, Managing Ambiguity, Stakeholder Engagement, Contingency Planning, Continuous Integration and Continuous Deployment, Liaising with cross functional teams, Fast-paced

preprocessing , Python, vector search, data and knowledge engineering, knowledge graphs, generative AI, multi-agent orchestration, fine-tuned foundation models, model platforms and inference, semantic retrieval, AI operations and observability, agentic systems, AI platform architectures, AI security and trust, classical machine learning, high-throughput low-latency inferencing, data ingestion