Vetted HIPAA Professionals

“PMHNP candidate with recent clinical rotation experience spanning ages 5 through geriatrics in both inpatient and outpatient settings under psychiatrist supervision. Demonstrates strong diagnostic reasoning, including a detailed example of recognizing bipolar II in a patient previously treated as unipolar depression, then safely revising the treatment plan with close follow-up, family involvement, and monitoring.”

“Engineering professor turned private-sector operator with 12 years of teaching experience and a track record of coaching non-technical learners into STEM and coding roles. Also brings experience scaling companies while reducing infrastructure costs, plus a strong people-development mindset shown through building and personally supporting employee certification programs.”

“Backend/data engineer focused on production Python and AWS: built FastAPI REST services and a containerized ECS Fargate + Lambda architecture deployed via Terraform/CI-CD. Strong in data engineering (Glue/S3/Parquet/RDS) and operational reliability (CloudWatch/SNS, retries, schema-evolution handling), with experience modernizing legacy SAS reporting into Python microservices using feature flags and parity validation.”

“Senior product leader who helped transform Submittable from a single-program grant tool into a multi-program impact platform, driving ARR from $20M to $70M+ while improving retention and margins. Particularly strong in enterprise platform strategy and human-centered AI, with a clear philosophy of using AI to augment expert judgment rather than replace it.”

“AI engineer at Cleveland Clinic building production LLM/NLP systems for radiology documentation, focused on HIPAA-aware, real-time performance across ~298 campuses. Re-architected infrastructure with AWS event-driven services to handle scaling and improved SLA compliance ~40%, and complements this with a personal multi-agent debate system (CrewAI) using local Llama/Mistral plus rigorous evaluation (A/B tests, red teaming, observability).”

“Built and deployed a production LLM/RAG clinical document understanding and summarization system for healthcare, focused on reducing manual review time while meeting strict accuracy, latency, and compliance needs. Demonstrates strong MLOps/orchestration depth (Airflow, Kubernetes, Azure ML Pipelines) and a rigorous approach to hallucination mitigation through layered, source-grounded safeguards and stakeholder-driven requirements with physicians/compliance teams.”

“Hands-on engineer focused on productionizing LLM-powered assistants: builds RAG pipelines with guardrails, response schemas, and citation-grounded outputs, then hardens them with explicit NFRs (latency, uptime, security, cost). Experienced diagnosing agentic/LLM workflow issues in real time using observability and stepwise isolation, and supports go-to-market via developer demos, workshops, and pre-sales technical evaluations in microservices/Spring Boot environments.”

“Backend-focused Python engineer who builds modular Flask services on AWS and specializes in performance/scalability work across data-heavy APIs. Has concrete wins in query optimization (1.5s to <200ms) and high-throughput async processing (Celery+Redis, ~40% throughput gain), plus experience serving scikit-learn text classification models via containerized REST services and designing multi-tenant data isolation strategies.”

“Healthcare data/NLP practitioner with experience at UnitedHealthcare building production ML systems that connect unstructured call center transcripts and medical notes to structured claims data. Has delivered measurable impact (25% classification accuracy lift; ~30% relevance improvement) using classical NLP, embeddings (Sentence-BERT + FAISS), and AWS SageMaker deployments with robust validation and drift monitoring.”

“Software engineer with healthcare domain experience (patient monitoring and provider systems) who improves reliability and performance in complex React/Flask applications. Led API standardization for shared internal React utilities using an RFC + deprecation strategy, and optimized a live WebSocket dashboard to handle 3000+ concurrent clinics while reducing client CPU usage. Strong in production debugging, data ingestion validation, and operational improvements like structured logging and alerting.”

PRAHARSHA JANDHYALA

Screened

Mid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines

Dallas, TX4y exp

“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”

“Data engineer with healthcare/clinical trial domain experience who owned a 100TB+/month AWS pipeline end-to-end (Glue/S3/Redshift/Airflow) and drove measurable outcomes (20% lower latency, 99.9% reliability, 40% less manual reporting). Also built production data services and API-based ingestion on GCP (Cloud Run/Functions/BigQuery) with strong validation, versioning, and safe migration practices, and launched an early-stage RAG solution (LangChain + GPT-4) for researchers.”

Kathleen Sogan

Screened

Director-level Project Management leader specializing in Healthcare IT and operations

Cincinnati, OH23y exp

“Enterprise implementation leader with a strong healthcare background, managing complex SaaS, IT, revenue cycle, and payer platform rollouts for large multi-site organizations. Has owned portfolios of 8-12 concurrent implementations, built governance frameworks for data warehouse and legacy EMR transitions, and also led high-stakes operational recovery work after a major flood disrupted infrastructure.”

“Veteran project and portfolio leader with 25+ years delivering enterprise B2B/SaaS implementations across financial services, healthcare, retail, legal tech, manufacturing, and public sector environments. Brings unusual breadth from traditional enterprise software to industrial IoT/AI and smart city platforms, with experience scaling from small POVs to $10M-$20M rollouts while serving as the bridge between executives, customers, and engineering teams.”

“Project leader in regulated healthcare SaaS who grew from data pipeline and configuration work into owning end-to-end enterprise implementations. Has led high-volume telehealth launches, managed plans serving up to 2 million members, and combines hands-on technical troubleshooting with executive-level stakeholder management.”

Luke Evers

Screened

Director-level engineering leader specializing in full-stack product and e-commerce systems

Remote12y exp

“Candidate is an aspiring founder currently exploring startup ideas and potential collaborators, with firsthand experience as an early employee at VC-backed companies, including joining a current company shortly after seed funding. They have not raised capital themselves but bring early-stage operating exposure and a strong desire to build something they own with a high-trust team.”