Pre-screened and vetted.
Staff Software Engineer specializing in AI infrastructure and distributed systems
Senior Full-Stack Engineer specializing in AI-first web modernization and cloud platforms
Senior AI/ML Engineer specializing in Generative AI and cloud-native platforms
Senior Software Engineer specializing in AI/ML and customer-facing platforms
Senior Machine Learning Engineer specializing in Generative AI and NLP
Principal Data Scientist specializing in Generative AI and security analytics
Senior Full-Stack Software Engineer specializing in AI/ML for FinTech & E-commerce
Principal Site Reliability Engineer specializing in cloud, DevSecOps, and platform reliability
Senior Software Engineer specializing in FinTech and Healthcare platforms
Junior Software Engineer specializing in full-stack and cloud systems
“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”
Senior Full-Stack Engineer specializing in React, Python/Django, and AWS
Senior Software Engineer specializing in Healthcare AI and FinTech platforms
“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”
Senior Full-Stack AI Engineer specializing in generative AI and cloud platforms
Senior AI/ML Engineer specializing in LLM systems and FinTech platforms
Senior Software Engineer specializing in payments and distributed systems
Senior Software Engineer specializing in real-time C++ systems and low-latency telemetry
“LLM/agentic systems practitioner who partners directly with customers to productionize prototypes end-to-end—defining business-aligned metrics, building evaluation datasets, and shipping monitored, cost-bounded inference APIs on AWS Lambda. Notably delivered a vehicle damage classification system that cut manual review by 40% and stabilized agent workflows by instrumenting state transitions to uncover and fix a race-condition-driven skipped tool call.”
Executive Strategy & Investment Advisor specializing in wealth management and growth strategy
“Former COO at a venture firm who founded a consultancy/startup serving luxury apparel and accessories brands, with current paying clients acquired through her executive network. Focuses on operational and business strategy for luxury brands of African descent and runs end-to-end product development and sourcing across NYC/China with supplier links to Turkey and India; previously built a book of business at Morgan Stanley and advised startups.”
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.”
Director-level Frontend Engineer specializing in high-scale web platforms
“Former Epic Games engineering leader who built the web foundation of the Fortnite creator ecosystem, joining as the first web developer and scaling the team to 21 engineers as the platform grew to tens of thousands of creators and tens of millions of players. Combines deep frontend architecture expertise with backend/infrastructure ownership, observability, and product leadership across publishing, trust and safety, economy, analytics, and public APIs.”
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”