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Vetted Encryption Professionals
Pre-screened and vetted.
Executive engineering leader specializing in cloud infrastructure, DevOps, and platform scale
Senior Software Engineer specializing in distributed systems, AI/ML, and healthcare platforms
Senior Software Engineer specializing in AI, FinTech, and cloud platforms
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Senior Software Engineer specializing in AI infrastructure and distributed systems
Andrew Coven
Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms
“Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.”
Neeraj Sharma
Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems
“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”
Ao Chen
Entry Software Engineer specializing in cloud APIs and distributed systems
“Backend engineer with hands-on ownership of AWS-based production systems, including resource-based policy support for Aurora DSQL and a VPC endpoint service name API. Stands out for combining security-sensitive authorization design, strong reliability instincts, and end-to-end product ownership that helped unblock enterprise adoption and customer onboarding.”
Staff-level Software Engineer specializing in distributed systems and cloud platforms
Senior Software Engineer specializing in cloud observability and video streaming
Senior Software Engineer specializing in backend systems, cloud platforms, and FinTech
Senior Software Engineer specializing in healthcare and regulated data systems
Senior Full-Stack Engineer specializing in distributed systems and real-time platforms
Mid-level Software Engineer specializing in healthcare IT and FinTech
Senior Software Engineer specializing in healthcare AI and cloud platforms
Senior Full-Stack Engineer specializing in React, Python/Django, and AWS
Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech
Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems
Saleem Sultan
Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation
“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”
Sri Yogesh Dorbala
Engineering Manager / Tech Lead specializing in large-scale distributed systems
“Software engineer focused on personalization and data/ML infrastructure who built a GenAI/LLM-driven carousel ranking system end-to-end, delivering a reported 6–7% order-rate lift. Also designed large-scale personalization ETL (15PB for ~100M users) and created a custom Airflow operator to integrate with Databricks under enterprise version constraints, with hands-on on-call and data-quality reliability improvements.”