Pre-screened and vetted.
Director-level Creative Technologist specializing in Unity and immersive interactive experiences
Mid-level Software Engineer specializing in Java microservices and enterprise platforms
Junior Software Engineer specializing in systems, security, and full-stack development
Senior AI Engineer specializing in healthcare AI and full-stack intelligent systems
Mid-level Software Engineer specializing in backend microservices and cloud applications
Mid-level Java Full-Stack Engineer specializing in microservices and cloud applications
Mid-level Software Engineer specializing in full-stack AI and cloud-native systems
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Senior Java Full-Stack Engineer specializing in AI-integrated cloud microservices
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Mid-level Software Engineer specializing in Java microservices and AI for FinTech
Senior Full-Stack Engineer specializing in scalable web apps and API architecture
Senior Full-Stack Software Engineer specializing in API architecture and AI agentic RAG systems
“Hands-on backend/AI engineer who solo-built two production Claude-based agent systems: an internal Slack RAG over Confluence/Jira/code/regulatory docs and a HIPAA/GDPR-compliant patient chatbot with embedding guardrails and expert-in-the-loop evals. Also architected a multi-region patient portal + microservices platform with Terraform/CI-CD and federated gateways, delivering major onboarding automation and strong reliability wins (PgBouncer, chaos/perf testing).”
Mid-Level Full-Stack Java Developer specializing in microservices, cloud, and AI integration
“Backend engineer working on high-volume insurance claims intake systems who shipped a production GenAI document-classification capability in Spring Boot microservices. Emphasizes reliability in LLM systems (strict schemas, confidence thresholds, monitoring, and manual-review fallbacks) and runs evaluation loops with labeled historical documents to drive prompt/validation improvements and reduce manual review.”
Junior Full-Stack Software Engineer specializing in web and mobile applications
“Full-stack engineer with startup experience who owned an end-to-end rebuild of a production analytics page at VideoNest (Next.js/TypeScript frontend, FastAPI/Python backend, Postgres), including third-party data ingestion/sync and query/index optimization; the feature reached 2,500+ users and received positive feedback from large clients. Also built a habit/community mobile app (Celeri) with near-real-time step updates using polling and UI optimizations like pagination and selective re-rendering.”
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud platforms
“Software engineer who built and launched an end-to-end Ad Scheduler that automated campaign creation across Google Ads and Meta using Azure Functions/Service Bus, PostgreSQL, and a React frontend—reducing manual marketing ops work. Also shipped a production internal RAG chatbot leveraging a data warehouse + Cube semantic layer, Gemini embeddings, vector search, and Claude, with Langfuse tracing and brand-based access controls; work was cut short due to layoffs.”
Executive AI & Technology leader specializing in AI, streaming, and gaming platforms
“Worked at an accelerator and served as an Entrepreneur in Residence, providing CTO and general founder support to startups. Although not pursuing entrepreneurship personally, they bring direct exposure to early-stage company building and accelerator ecosystems.”
Entry-level Full-Stack Software Engineer specializing in AI and healthcare tech
“Built a Python pipeline to monitor and classify public posts from sources like Hacker News and Reddit for SWE/tech job opportunities, with a strong focus on reliability, observability, and recoverable failures. Also currently building a court queueing system for the UCSD Badminton Club, showing an ability to turn messy, informal real-world processes into practical automation through iterative user feedback.”
Mid-level AI Engineer specializing in LLM agents and RAG systems
“AI/ML engineer at MRI Software focused on taking LLM and RAG systems from prototype to reliable production. Notable work includes an AI automation system for migrating 1200+ legacy pages with 75-80% manual effort reduction, plus enterprise document-querying and reusable Python LLM infrastructure that cut lookup time by 70% and improved team velocity by 30-40%.”
Junior Full-Stack Software Engineer specializing in AI-powered developer tools
“Automation-focused engineer with hands-on experience building production Python integrations, maintaining 60+ Jenkins pipelines across six product lines, and hardening CI systems in real-world environments. Most notably, they turned a tribal-knowledge Windows server maintenance process into a production workflow across nine servers, saving about 500 engineering hours annually.”