S&C Global Network

Generative AI Expertise

• Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
• Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
• Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
• Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.

Cloud Platform Expertise

• Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
• Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.

Data Science and Engineering

• Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
  • Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.