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Vetted Database Design Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in backend systems, payments tokenization, and ML
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Dennis Noto
Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization
“Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Senior Strategic Program/Project Manager specializing in Global Affairs & executive operations
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Entry-Level Software Engineer specializing in full-stack web and gaming platforms
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Michael Vance
Senior AI & Data Engineering Manager specializing in Appian and cloud data platforms
“Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.”
Benjamin Ung
Senior Machine Learning Software Engineer specializing in computer vision and simulation
“Robotics engineer who worked on a lunar rover program, building a simulation environment that mirrored real hardware interfaces and incorporated moon-terrain slip/friction modeling validated against a physical “moon yard.” Also integrated an ML-based munition X-ray inspection system via REST APIs, deploying and scaling inference on Azure with Kubernetes plus Prometheus monitoring, load balancing, and self-healing reliability mechanisms.”
Johnny Davis
Senior Enterprise Customer Success Manager specializing in SaaS adoption and digital transformation
“Enterprise Customer Success leader (10+ years) with experience at Zscaler and supporting Fortune 500 customers, driving high adoption and renewals through metric-driven governance and executive stakeholder management. Known for cross-functional incident leadership (including coordinating with Apple and Product to ship a patch) and for enabling significant expansions (e.g., $600k+ add-on before renewal and a $750k DLP deal) while building Salesforce Marketing Cloud/CRM analytics and enablement tooling.”
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services
Junior Software Engineer specializing in backend systems and distributed infrastructure
Mid-level Full-Stack Java Developer specializing in microservices and cloud on AWS
Patrick Arnoux
Principal Software Architect specializing in low-latency trading systems and market data
“Solaris-focused engineer who has led production performance investigations using DTrace and implemented code changes that substantially improved runtime by removing redundant parsing. Participated in a data-center-exit lift-and-shift to cloud using Oracle GoldenGate for replication and LVM to duplicate the application platform, with some exposure to AIX/IBM Power (LPAR recovery with NIM, assisted PowerHA validation).”
Intern Full-Stack Software Engineer specializing in ML-powered web products
Senior Backend Software Engineer specializing in Python and AWS cloud services
Intern Software Engineer specializing in full-stack web and AI agent development
Intern Data Scientist specializing in product analytics, causal inference, and NLP