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I'm a senior AI/ML engineer with 10 years of experience designing, deploying, and scaling production AI systems across healthcare, fintech, and e-commerce. I specialize in generative AI, multi-agent systems, agentic RAG, LLM fine-tuning, inference optimization, and end-to-end ML/LLMOps pipelines. I partner closely with product, data, and infrastructure teams on AWS, Azure, and GCP to deliver secure, scalable enterprise AI solutions. I focus on measurable outcomes—reducing latency, improving accuracy, and enabling rapid iteration while maintaining governance, privacy, and security.…I'm a senior AI/ML engineer with 10 years of experience designing, deploying, and scaling production AI systems across healthcare, fintech, and e-commerce. I specialize in generative AI, multi-agent systems, agentic RAG, LLM fine-tuning, inference optimization, and end-to-end ML/LLMOps pipelines. I partner closely with product, data, and infrastructure teams on AWS, Azure, and GCP to deliver secure, scalable enterprise AI solutions. I focus on measurable outcomes—reducing latency, improving accuracy, and enabling rapid iteration while maintaining governance, privacy, and security.

Robert Pavel

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm a senior AI/ML engineer with 10 years of experience designing, deploying, and scaling production AI systems across healthcare, fintech, and e-commerce. I specialize in generative AI, multi-agent systems, agentic RAG, LLM fine-tuning, inference optimization, and end-to-end ML/LLMOps pipelines. I partner closely with product, data, and infrastructure teams on AWS, Azure, and GCP to deliver secure, scalable enterprise AI solutions. I focus on measurable outcomes—reducing latency, improving accuracy, and enabling rapid iteration while maintaining governance, privacy, and security.…I'm a senior AI/ML engineer with 10 years of experience designing, deploying, and scaling production AI systems across healthcare, fintech, and e-commerce. I specialize in generative AI, multi-agent systems, agentic RAG, LLM fine-tuning, inference optimization, and end-to-end ML/LLMOps pipelines. I partner closely with product, data, and infrastructure teams on AWS, Azure, and GCP to deliver secure, scalable enterprise AI solutions. I focus on measurable outcomes—reducing latency, improving accuracy, and enabling rapid iteration while maintaining governance, privacy, and security.

Available to hire

I’m a senior AI/ML engineer with 10 years of experience designing, deploying, and scaling production AI systems across healthcare, fintech, and e-commerce. I specialize in generative AI, multi-agent systems, agentic RAG, LLM fine-tuning, inference optimization, and end-to-end ML/LLMOps pipelines.

I partner closely with product, data, and infrastructure teams on AWS, Azure, and GCP to deliver secure, scalable enterprise AI solutions. I focus on measurable outcomes—reducing latency, improving accuracy, and enabling rapid iteration while maintaining governance, privacy, and security.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Platform Engineer at Wolters Kluwer

July 1, 2024 - April 1, 2026

Architected a centralized Medical Research AI Platform and led end-to-end design of a centralized MCP server automating tool capabilities from API metadata, reducing new API onboarding by 85% and improving tool invocation success by 28%, while decreasing orchestration latency by 42%. Implemented a multi-agent system (LangGraph + AWS Bedrock AgentCore) to orchestrate concurrent agents, cutting end-to-end latency by 38% and reducing inference cost by 31%. Built a GraphRAG-based clinical intelligence platform processing millions of documents, improving retrieval precision by 30% and reducing hallucinations by 35%. Developed HIPAA-compliant guardrails, optimized LLM inference with vLLM, and built full MLOps pipelines on AWS with strong observability and retraining.

Senior AI Engineer at Sage

April 1, 2021 - May 1, 2024

Developed a multi-agent crypto analytics platform combining market forecasting, trading signals, and social sentiment analysis, improving recommendation quality and user engagement. Built prediction and signal-generation agents, implemented end-to-end batch and real-time data pipelines on GCP (GCS, Pub/Sub), and deployed scalable agent services on GKE, supporting significant workload growth while maintaining high availability. Managed model versioning, experiment tracking with MLflow, and delivered interactive dashboards for portfolio analytics. Orchestrated multi-agent workflows to shorten end-to-end recommendation generation time by 20–30%.

Data Scientist at Amazon

January 1, 2019 - March 1, 2021

Designed and validated machine learning models for personalized product recommendations and ranking; productionized offline models into low-latency SageMaker services. Built end-to-end data pipelines (S3, Glue, Lambda, EMR), developed NLP workflows for signals from reviews and queries, and fine-tuned transformer models (e.g., BERT) to improve query understanding and sentiment analysis. Implemented feature engineering and feature store practices to improve reproducibility and iteration speed, and optimized offline-to-online inference to reduce serving latency.

Software Engineer at Zitec

August 1, 2016 - December 1, 2018

Developed scalable data ingestion and ETL pipelines consolidating CRM, transactional, and marketing data; built customer segmentation and predictive analytics workflows; implemented churn and conversion prediction services; created automated dashboards and reporting pipelines for real-time visibility; developed reusable data processing modules and integrated analytics tracking to improve data quality and attribution.