Ray K.
AI/ML Lead
- Role
- Principal Ai Ml Engineer at HP
- Location
- Redwood City, CA, US
- LinkedIn followers
- 500 followers
About Ray K.
Full-Stack AI Research & Engineering leader with 15+ years of experience architecting and…
Experience
Principal Ai Ml Engineer
Apr 2024 — Present · US
Leading the architecture and engineering of HP AI Studio, an enterprise-grade platform designing bespoke agentic workflows and streamlining end-to-end machine learning lifecycles. Directing a cross-functional team of engineers and scientists to unify data pipelines, model orchestration, and compute resources, ensuring scalable experimentation and secure deployment across cloud, edge, and on-premise environments.• Architecting advanced agentic AI capabilities by integrating Salesforce Agentforce and AgentSpace, enabling autonomous intelligent agents to execute complex enterprise workflows with high precision and security compliance.• Fine-tuning LLaMA-2 models on domain-specific datasets using AWS GPU infrastructure (EC2 g5/A10G), utilizing LoRA-based parameter-efficient fine-tuning (PEFT) to optimize reasoning capabilities for high-stakes operational environments.• Establishing robust MLOps and DevSecOps pipelines that prioritize data privacy and model governance, implementing rigorous evaluation frameworks (RLHF) to align generative models with enterprise security standards.• Engineering secure end-to-end data pipelines involving JSONL preprocessing, S3 storage management, and tokenizer setup, supporting the ingestion of diverse telemetry for anomaly detection and retrieval augmented generation• operationalizing large language model pipelines using LangChain and Kubeflow, focusing on observability, reproducibility, and the reduction of AI-specific risks in production deployments.Skills: Generative AI • Salesforce Agentforce • Agentic Workflows • DevSecOps • Large Language Models (LLM) • Vector Databases (FAISS/Weaviate) • Azure DevOps • LangChain • RAG • MLflow • GCP Vertex AI • Cyber Risk Mitigation • Threat Detection Pipelines - MCP
Education
University of Miami
Doctor of Philosophy (Ph.D.)
Stanford University
Machine Learning
University of Miami
Master of Science (M.Sc.)
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