Vetted HIPAA Professionals

“Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.”

“Healthcare-focused LLM engineer who deployed a production triage and clinical knowledge retrieval assistant using RAG and LangGraph-orchestrated multi-agent workflows. Emphasizes clinical safety and compliance with robust hallucination controls, HIPAA/PHI protections (tokenization, encryption, audit logging, zero-retention), and human-in-the-loop escalation; reports a 75% latency reduction in a healthcare agent system.”

“Built a production multi-agent orchestration platform to automate healthcare claims and HR workflows, combining LangChain/CrewAI/AutoGPT with RAG (FAISS/Pinecone) and fine-tuned open-source LLMs (LLaMA/Mistral/Falcon) in private Azure ML environments to meet HIPAA requirements. Emphasizes rigorous agent evaluation/observability (trajectory eval, adversarial testing, LLM-as-judge, drift monitoring) and reports measurable outcomes including 35% faster claims processing and 40% fewer chatbot errors.”

“Full-stack engineer with experience at Wells Fargo and Salesforce building regulated, customer-facing financial systems and internal DevOps tooling. Deep in microservices and event-driven architectures (Spring Boot, Kafka/RabbitMQ) with strong CI/CD automation, contract testing, and observability; delivered measurable impact including 60% faster deployments and 40% fewer support tickets.”

“Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.”

“Backend engineer with experience building and scaling microservice-based financial transaction platforms at Wells Fargo (Spring Boot, Oracle, Kafka) and leading a legacy healthcare system migration to a modular cloud architecture. Strong focus on reliability and security through event-driven design, idempotency/deduplication, and production-grade observability (ELK/Prometheus), plus API development practices in Python/FastAPI with CI/CD and Kubernetes.”

“Backend engineer with experience building Spring Boot microservices for financial workflows at Fizzle (thousands of requests/minute) and shipping healthcare data validation automation at CVS Health. Demonstrates strong production reliability/performance skills—deep in database tuning (query plans, indexing, caching, denormalization), observability (Prometheus/Grafana), and resilient multi-step workflow design with retries and human-in-the-loop escalation.”

“Cloud/DevOps-focused engineer with production experience in Linux, AWS, Kubernetes, and cloud-native architectures. Has built GitHub Actions CI/CD pipelines for containerized Kubernetes deployments and implemented Terraform-based AWS infrastructure with modular design and remote state/locking (S3 + DynamoDB) plus PR/CI-driven change control.”

“Full-stack engineer who owned an end-to-end production feature for a Piraeus Bank stock exchange module, spanning React/TypeScript, backend services, and cloud operations with Docker + CI/CD, delivering reported 90% faster API responses and improved uptime. Also built a Smartwound research MVP on AWS, creating a Python image-processing/scoring pipeline to ship despite unclear image-analysis specs.”

“Backend/data engineer focused on production-grade Python microservices and AWS platforms, including a hybrid Lambda + ECS Fargate architecture managed with Terraform and CI/CD. Has hands-on reliability experience (JWT/OAuth, timeouts, retries, centralized error classification) and built AWS Glue/PySpark ETL pipelines consolidating PostgreSQL/RDS, MongoDB, and S3 sources into curated partitioned Parquet datasets. Demonstrated measurable SQL tuning impact (8 minutes to 25 seconds) and disciplined legacy-to-modern migrations with parity validation and UAT sign-off.”

“Software engineer/product owner experience at UnitedHealth Group owning a high-volume claims eligibility console end-to-end (React/TypeScript + Spring Boot microservices) processing 1M+ transactions/day. Strong in event-driven architecture (Kafka/RabbitMQ), HIPAA-aligned security (OAuth/JWT/RBAC), and building internal observability tools that improve incident triage and production reliability.”

“ML/AI engineer with healthcare payer experience (Signal Healthcare, Cigna) who has shipped production fraud/claims prediction systems using Python/TensorFlow and exposed them via FastAPI/Flask microservices integrated with EHR and Salesforce. Emphasizes operational reliability and trust—Airflow-orchestrated pipelines with data quality gates plus SHAP-based interpretability, A/B testing, and drift/debug workflows—backed by reported outcomes of 22% lower false payouts and 17% higher model accuracy.”

“Built and deployed a production clinical claim validation RAG system at GE HealthCare that automated nurses’ patient-history/claims checks, cutting manual review time by ~65%. Designed the full stack (retrieval, embeddings, Pinecone, prompt/verification guardrails, FastAPI backend) with PHI-compliant anonymization via NER and orchestrated pipelines using Airflow, Azure ML Pipelines, and MLflow with drift monitoring.”

“Built a production "appeals co-pilot" for a healthcare claims appeals team, combining an XGBoost/logistic ranking model with a Python/LangChain RAG stack (FAISS + Mistral 7B) to surface high-probability appeal wins and speed policy-grounded drafting. Emphasizes reliability and trust: hybrid retrieval with metadata routing, citation/eval scripts, guardrails, and an explainability layer that non-technical stakeholders could understand and override.”

“Data/ML practitioner with experience at UnitedHealth Group building a fraud claims detection solution combining structured claims data and unstructured notes, validated with compliance stakeholders to improve actionable accuracy. Also applied embeddings, vector databases, and fine-tuned language models in a Bank of America capstone to detect threats/anomalies in financial documents, with production-minded Python ETL workflows using Airflow.”

“Infrastructure/operations engineer with hands-on production IBM Power/AIX (AIX 7.x, VIOS, HMC) and PowerHA/HACMP clustering experience, including DLPAR changes, failover testing, and incident recovery. Also delivers modern cloud DevOps work—GitHub Actions CI/CD for Docker-to-Kubernetes on AWS and Terraform-based provisioning of core AWS infrastructure (VPC/EKS/RDS/IAM) with controlled rollouts and drift checks.”

“Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.”

“Infrastructure/DevOps engineer with strong production ownership across AWS and Kubernetes, including leading real outage recoveries and building governance-heavy IaC/CI/CD in regulated environments. Has designed DR failover testing programs and implemented policy-as-code and peer-reviewed deployment gates to prevent repeat incidents; experience cited at Rackspace, Strategic Systems, and CTS.”

“Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.”

“Former founder with a successful exit who has since built multiple zero-to-one enterprise platforms across IoT, NLP, and healthcare AI, each cited as generating $1B+ in revenue. Also a Stanford and Alchemist Accelerator mentor, known for using ethnographic research to find product-market fit and for selling multi-million-dollar MVP business cases to C-level executives.”

“Serial healthcare entrepreneur who has founded three ventures across nuclear pharmacy and radiology/imaging, including building a nuclear pharmacy in a 500-mile underserved region and personally managing NRC regulatory compliance. Also built an early virtual radiology practice with remote radiologists and SaaS-only infrastructure, using a highly metrics-driven approach to opportunity assessment and capital formation via strategic partnerships.”

“Operations transformation leader with private-equity due diligence experience who rebuilt KIO Networks’ operating model using ITIL/COBIT/ISO 27001, stood up a PMO, and standardized tooling across countries—helping shift the business from co-location to managed services/cloud and improving EBITDA from -7% to +4% in 18 months. Also serves as a board member/mentor at EvoNexus and UCSD Rady, coaching founders on ICP, GTM, pricing, and investor readiness.”