Pre-screened and vetted.
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%+.”
Senior Full-Stack Software Engineer specializing in React/Next.js and AI-powered SaaS
Executive Technology Leader specializing in AI/ML and Cloud Transformation
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Senior Full-Stack Software Engineer specializing in AI voice agents and scalable web platforms
Software Development Manager specializing in multimodal visual search and AI platforms
Mid-level Data Scientist specializing in Generative AI and LLM applications
Software Engineering Manager specializing in Alexa AI and large-scale distributed systems
“Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.”
Executive Platform & Security Engineering leader specializing in multi-cloud Kubernetes and FinTech
“Startup-focused infrastructure/security leader who stepped into head of engineering and re-platformed an entire product end-to-end in 3 months to meet launch. In crypto/fintech, recognized the market-data system as an ETL/data product and rebuilt it as a separable, securely accessible platform—prompting inbound interest within a week—while advocating an open-source-first observability stack (Prometheus/Grafana/Loki) to avoid vendor lock-in.”
Senior Business Operations & Chief of Staff specializing in growth and GTM for tech startups
“Chief of Staff at a high-growth startup who helped scale the company from Seed through Series B while owning fundraising/investor & board relations and building an enterprise GTM motion. Led the first enterprise launch by aligning CEO/CTO priorities under severe engineering constraints, then helped scale an enterprise account to 10-figures in GTV within six months. Known for executive leverage (CEO proxy), company-wide planning/communication systems, and operationalizing enterprise CS/AM processes.”
Executive AI/IoT Engineering Leader specializing in full-stack and edge AI systems
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
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.”
Entry AI Software Engineer specializing in LLM workflows and ML pipelines
“Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.”
“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”
Junior Software Engineer specializing in scalable systems and cloud/AI tooling
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms