Pre-screened and vetted.
Senior Software Engineer specializing in Applied AI, Identity, and Distributed Systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Mid-level Software Engineer specializing in healthcare IT and FinTech
Senior Software Engineer specializing in healthcare AI and cloud platforms
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Executive CEO and Board Director specializing in global SaaS, Cloud, and AI growth
Principal Data Scientist specializing in Generative AI and security analytics
Staff ML Platform Engineer specializing in distributed training and inference
Senior AI/ML Engineer specializing in generative AI and recommendation systems
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 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.”
Junior Research Assistant specializing in LLMs, NLP, and data systems
“Software-focused candidate who built a data monitoring pipeline during a hedge fund internship, integrating real databases and an email API to notify teams when data was ready. Comfortable working through legacy/scrappy code and uses LLMs to accelerate comprehension and delivery, with an emphasis on thorough testing and clear communication with stakeholders/customers.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
Executive Technology Leader (CTO) specializing in AI, Search, Cloud, and Edge computing
“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”
Executive Engineering Leader specializing in Agentic AI and Generative AI
Staff Full-Stack Engineer specializing in test automation, DevOps, and AI tooling
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Senior Software Engineer specializing in backend systems, data platforms, and FinTech
Mid-level Full-Stack Engineer specializing in Python, distributed systems, and FinTech