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Vetted HIPAA Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-level Graphics & XR Software Engineer specializing in Unity VR/AR simulation
Executive technology leader specializing in enterprise systems, cloud, and identity strategy
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Senior Python Full-Stack Engineer specializing in cloud-native scalable systems
Senior Backend/Full-Stack Engineer specializing in cloud-native APIs and data platforms
Executive engineering leader specializing in SaaS platform architecture
David Pang
Intern Full-Stack Software Engineer specializing in web apps and healthcare APIs
“Full-stack developer who built an end-to-end e-commerce application with admin/blog/announcement features using Node/Express and AWS S3, emphasizing security via expiring presigned URLs. Also has strong distributed-systems fundamentals from implementing the Raft consensus algorithm (replication logs, majority acks, leader elections) and has created build automation tools (GNU Makefiles/scripts) to streamline team workflows.”
Shehab mohamed mohamed
Junior AI Engineer specializing in MLOps, LLMs, and multi-agent systems
“ML/AI engineer focused on production-grade systems, with experience building a low-latency multi-agent 'neural concierge' booking platform used across domains like restaurants and hospitals. Also worked on a healthcare computer vision system for nystagmus/eye-movement analysis, showing a mix of scalable LLM infrastructure, MLOps, and safety-conscious medical AI experience.”
Dhairya Gajjar
Mid-Level Software Engineer specializing in Healthcare Data Platforms
“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”
Lakshmi sailaja
Mid-Level Software Engineer specializing in backend microservices and AI/ML integration
“Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.”
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-Level Backend/API Engineer specializing in AWS and healthcare/first-responder systems
Junior Full-Stack Software Engineer specializing in backend APIs and data pipelines
Junior Software Engineer specializing in Django, data processing, and machine learning
Junior Machine Learning Engineer specializing in healthcare and IT analytics