Senior AI/ML Engineer specializing in Generative AI, RAG, and agentic systems
Senior GenAI / AI ML Engineer – RAG, Agentic Systems & MLOps6 years experienceSeniorFinancial ServicesHealthcareHealthcare IT
ScreenedIdentity Verified
Connect with Vamshi
Vamshi already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
GenAI/LLM ML engineer (currently at Webprobo) building an enterprise GenAI platform with document intelligence and automation on AWS and blockchain. Has hands-on experience with RAG, LLM evaluation tooling, and orchestrating production LLM workflows with Apache Airflow, plus deep exposure to reliability challenges in globally distributed/edge deployments. Also partnered with business/marketing stakeholders at a banking client to deliver an AI-driven customer retention insights solution.
Experience
Senior GenAI / AI ML Engineer – RAG, Agentic Systems & MLOpsWellmark BCBS
GenAI / AI ML Engineer – RAG Systems, Automation & Applied AIWells Fargo
Data Analyst – Marketing & Customer AnalyticsValue Labs
Education
Indiana Wesleyan Universitymaster, Information Technology Project Management
Key Strengths
Built and deployed enterprise GenAI/document intelligence automation systems using AWS and blockchain
Designed and improved RAG pipelines; focused on retrieval accuracy and reducing iteration cycles
Experience operating AI systems in real-time, globally distributed environments (edge + distributed state sync)
Reliability engineering mindset for distributed systems (degraded-mode design, fail-fast, failure-mode testing, network partition simulations)
Production workflow orchestration for LLM pipelines (Airflow for ETL, model training, batch inference)
Structured evaluation approach for AI agents (dataset comparisons, ongoing testing, A/B testing, feedback evaluation)
Cross-functional delivery with non-technical stakeholders (banking retention/customer research use case)
Discover more candidates like Vamshi
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.