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Vetted HIPAA Professionals
Pre-screened and vetted.
Raghavender Vedire
Staff Backend/Distributed Systems Engineer specializing in cloud observability and payments
“Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Staff Full-Stack Software Engineer specializing in distributed systems and healthcare platforms
Executive Technology Leader (CTO/EVP) specializing in product-led SaaS and data-driven platforms
Staff Software Engineer specializing in enterprise SaaS billing, telemetry, and security
Senior Full-Stack Engineer specializing in cloud-native and AI-powered enterprise products
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Software Engineer specializing in telehealth and e-commerce platforms
Senior Full-Stack Engineer specializing in AI/ML product engineering
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Staff Software Engineer specializing in secure cloud-native data platforms
Senior Software Engineer specializing in cloud security and identity management
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS
Thomas Baker
Senior Full-Stack Engineer specializing in serverless AWS and event-driven systems
“Backend/data engineer with experience at AWS and Intuit building and operating production serverless systems and data pipelines. Delivered an internal AWS TV video-processing platform using Step Functions/Lambda/S3/DynamoDB with strong reliability and cost controls, and built Glue-based ETL for compliance/risk events (Kafka to partitioned Parquet). Also modernized legacy compliance systems into Java/Node event-driven services and has demonstrated measurable SQL tuning impact (200s to 20s).”
Kalyani Chittipolu
Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines
“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”
John Lamarque
Executive Engineering & Product Strategy Leader in SaaS and Collaboration Hardware
“Operations/engineering leader from Poly who optimized a professional headset portfolio by aggressively prioritizing technical debt and consolidating HW/SW platforms (down to 2 each), accelerating time-to-market by ~6 months and enabling 3–6 month variant cycles. Also drove AI-enabled quality improvements by leveraging JIRA bug data to automate test case creation and expand coverage, while aligning engineering and product management around MVO delivery.”
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”