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Vetted HIPAA Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Data Engineer specializing in real-time pipelines, cloud data platforms, and healthcare analytics
Senior Data Scientist specializing in AWS ML solutions for healthcare, telecom, and e-commerce
Senior AI/ML & Data Science professional specializing in NLP, LLMs, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps and healthcare analytics
Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions
Senior QA Automation Engineer specializing in regulated healthcare and pharma platforms
Mid-level Data Engineer specializing in lakehouse architectures and cloud ELT
Senior Full-Stack Engineer specializing in React, Java/Spring Boot, and Python microservices
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD
Mid-level Data Engineer specializing in cloud data platforms for Healthcare and Financial Services
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Executive Cybersecurity & Risk Management Leader specializing in FedRAMP, CMMC, and cloud security
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Sanjay Mamani
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Chris Harry Patrick
Mid-level AI/ML Engineer specializing in healthcare, risk modeling, and MLOps
“Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.”
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”