Vetted Data Validation Professionals

“AI/LLM-focused builder with internship experience at Curated, where they owned a voice AI support deployment end-to-end and built a RAG-based internal knowledge assistant. They pair practical production instincts with measurable outcomes, including a 30% reduction in human-handled support tickets, a 20-point NPS improvement, and a 40% reduction in manual document search across five teams.”

Brendan Dwyer

Screened

Senior AI/ML Engineer specializing in GenAI and cloud platforms

Colorado Springs, CO10y exp

“ML/AI engineer with hands-on experience turning research-style RAG concepts into production underwriting systems at Prudential Financial. Built an internal document intelligence assistant end-to-end with strong monitoring, safety, and evaluation practices, driving a 38% faster review process and 31% better retrieval accuracy. Also improved platform engineering at VivSoft by standardizing Python-based ML deployment across 60+ models.”

“Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.”

“Backend engineer in healthcare data systems who has owned production pipelines end-to-end, from ingesting patient and claims data to serving it through secure APIs. Brings a strong mix of Python, SQL, microservices, cloud deployment, and data reliability practices, with measurable performance gains and experience building resilient integrations with external data sources.”

“Full-stack engineer focused on AI-powered enterprise document automation, especially transforming unstructured financial documents into structured outputs. Stands out for treating LLMs and agents as components within robust production systems, with emphasis on validation, security, observability, and scalable multi-agent architecture.”

Rishabh Goyal

Screened

Mid-level Software Engineer specializing in backend microservices and FinTech

USA4y exp

“Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.”

“Built an employee payroll and leave management system end to end at Northwest Missouri State University, owning stakeholder discovery, UI design, frontend implementation, backend APIs, and payroll business logic. Also has experience modernizing legacy transaction processing with an incremental migration approach from COBOL-based batch systems to Spring Boot services.”

“Healthcare product manager with deep experience building analytics workflows for hospitals, especially around 340B revenue opportunity analysis using EMR and claims data. They combine regulated-domain product delivery with hands-on AI prototyping, including a clinical assistant built with Python, Streamlit, OpenAI APIs, and FAISS, and have driven measurable workflow improvements such as a 40% reduction in turnaround time through data standardization and automation.”

Kal Yimer

Screened

Mid-level Java Application Engineer specializing in FinTech backend systems

Silver Spring, MD3y exp

“Banking-focused software engineer with hands-on experience modernizing legacy systems and building internal full-stack applications using Java, Spring Boot, React, SQL, and MongoDB. Stands out for reliability-minded engineering in financial environments, including a scheduling system that handled Daylight Saving Time correctly, reduced manual work, and protected downstream processing.”

“GenAI/RAG engineer who has deployed a production policy/regulatory search assistant for a financial client using LangChain + Vertex AI, FastAPI, Docker/Kubernetes, and Airflow-orchestrated data pipelines. Demonstrated measurable impact with 50–60% latency reduction and 70% fewer pipeline failures, plus KPI-driven grounding evaluation (90%+ target) and strong cross-functional collaboration with compliance/business teams.”

“QA automation engineer with Silicon Valley Bank experience owning end-to-end test automation for customer onboarding and payments. Built a hybrid framework (Playwright UI, REST Assured API, Python + SQL backend validation) integrated into Azure DevOps CI/CD with PR gating and nightly regressions, catching high-risk issues like silent API contract breaks and missing payment ledger entries before release.”