Pre-screened and vetted.
“Founding/principal product marketer who specializes in building zero-to-one B2B growth systems in ambiguous environments. At Real Work Labs, they diagnosed why an AI voice product had no traction, repositioned it for trust-sensitive home service contractors, and drove measurable pipeline results while also building the underlying attribution and handoff infrastructure across HubSpot, Salesforce, Slack, and Gong.”
Mid-level Full-Stack Engineer specializing in cloud microservices and AI-powered platforms
“Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.”
Mid-level Software Engineer specializing in full-stack systems and AI applications
“Software engineer with 3 years at Gap Inc. who led a major modernization from monolith/legacy frontend to a React and Spring Boot microservices architecture, delivering 25% cost savings, 30% faster releases, and 50% performance gains. Also built a 0→1 startup product, MealShare AI, using managed cloud services to rapidly launch a real-time food redistribution platform.”
Junior Full-Stack Developer specializing in FinTech and data systems
“Built a prediction market analytics website from scratch to analyze volume and correlations in decentralized markets, drawing on a sports and finance background. Shows strong early-stage product instincts, backend ownership, and a pragmatic approach to scalability, security, and AI-assisted data workflows.”
Principal Software Engineer specializing in enterprise AI platforms
“Built a production-grade LLM document processing and workflow orchestration platform at CBRE for internal operations teams, handling highly variable long-form documents with a reusable architecture involving 50+ coordinated LLM calls per request. Stands out for treating agentic systems like distributed backend infrastructure, with strong emphasis on evaluation, observability, reliability, and vendor-agnostic orchestration across Bedrock, Vertex AI, and OpenAI.”
Junior Software Engineer specializing in backend systems and AI automation
“Backend/platform engineer with Boston Scientific experience building secure healthcare integrations, resilient AWS data pipelines, and a production internal LLM support chatbot. Stands out for combining legacy-system modernization, strong reliability practices, and measurable operational impact in regulated healthcare environments.”
Senior AI/ML Engineer specializing in supply chain and healthcare systems
“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”
Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices
“Developer who actively integrates AI tools like Copilot, ChatGPT, and Cursor into day-to-day coding, testing, debugging, and framework learning to improve delivery speed. They also organize multi-agent workflows across code generation, review, testing, and documentation while retaining final ownership of quality and architecture decisions.”
Mid-level Backend Engineer specializing in distributed systems and FinTech AI platforms
“Engineer at Morgan Stanley working on AI-enabled trade surveillance and compliance routing systems. They’ve built and monitored chained agent workflows for retrieval, risk classification, and alert routing, with strong emphasis on auditability, hallucination prevention, and regulated-environment reliability.”
Executive product leader specializing in enterprise SaaS, B2B, and product marketing
“Product leader with experience spanning immigration tech, cybersecurity AI, and post-acquisition platform integration. They’ve led complex rebuilds involving sensitive data, access controls, and workflow automation, delivering measurable gains in onboarding speed, satisfaction, and audit-risk reduction. Also brings a pragmatic, human-centered view of AI shaped by building an SLM for cyber threat intelligence and personal exposure to tutoring and education.”
Senior IT Project Manager specializing in cybersecurity, IAM, and enterprise transformation
Junior ML Engineer specializing in Generative AI and cloud-based software development
“Graduate student who has built both full-stack web products and an offline Android AI assistant for visually impaired users. Particularly interesting for roles spanning product engineering and applied AI, with hands-on experience in on-device ML, privacy-sensitive deployment, and making complex AI interactions usable for non-technical users.”
Entry-level Full-Stack Developer specializing in web and mobile apps
“Full-stack developer who has built multiple end-to-end products including a flight search platform, an AI-powered personal finance app, and a React Native workout app. Particularly interesting for teams needing someone who can combine modern React/Next.js frontend work with backend APIs, AI integrations, and pragmatic performance optimization in production-style projects.”
Senior Technical Program Manager specializing in Agile delivery and healthcare IT
“Senior PM/PM executive with 25+ years leading large-scale enterprise and public-sector technology programs, spanning custom .NET software, RPA/low-code delivery, and major infrastructure migrations. Notable highlights include a $1.3M Indiana retirement systems project, recovery work on a $90M IBM integration effort in Thailand, and a 7-part $3.3M mainframe/data center migration delivered within 5% of budget.”
Mid-level Software Engineer specializing in enterprise SaaS, InsurTech, and FinTech
“Built and significantly owned enterprise project-finance dashboards at Publicis Sapient, with a strong focus on performance, data freshness, and trust for demanding finance users. Stands out for diagnosing problems across both the browser and data layers—optimizing SQL, reducing DOM load, and redesigning interactions so users stopped exporting to spreadsheets and worked directly in the live dashboard.”
Senior Software Engineer specializing in AI platforms and full-stack systems
“Full-stack TypeScript engineer with early-stage startup experience (HomePulse; sole US engineer) who ships and owns production features end-to-end—routing/state design, API contracts, caching/pagination, and post-launch monitoring/optimization. Has delivered performance-sensitive React UIs (virtualized large datasets, React Query caching, Suspense loading patterns) and built durable job-queue workflows with idempotency/retries, plus SQL Server relational modeling for internal ticketing and knowledge-retrieval workflows.”
Senior CRM and Email Marketing Manager specializing in e-commerce
“CRM leader with roughly seven years of experience across fashion and aesthetic pharma/wellness, including building CRM infrastructure during a HubSpot-to-Salesforce transition. They’ve owned Salesforce Marketing Cloud/Data Cloud, launched new SMS and DTC capabilities, supported both B2B and B2C programs, and now manage a small CRM team while remaining deeply hands-on with SQL, segmentation, QA, and performance reporting.”
Mid-level Full-Stack Software Engineer specializing in cloud and AI systems
“Software engineer focused on internal platform and workflow automation, with hands-on experience building a React/TypeScript + .NET/MSSQL application that streamlined laptop provisioning for employees. Also contributed in a very early-stage startup setting by introducing Agile process and helping shape initial architecture, and is now expanding Python/AI skills while looking to deepen Go and Kubernetes expertise.”
Mid-level Data Scientist specializing in AI/ML, LLMs, and healthcare analytics
“Built and shipped enterprise AI products including a conversational SQL analytics platform and a production RAG system at Johnson & Johnson. Combines full-stack engineering with LLM systems expertise, and has delivered measurable impact at scale, including 48% lower retrieval latency and 37% better response relevance across 12M+ records.”
Senior Software Engineer specializing in SaaS, distributed systems, and AI workflows
“Full-stack engineer with recent startup-style experience at SynapOne building enterprise B2B SaaS platforms for compliance and operational review workflows. Stands out for turning ambiguous business problems into production systems, including AI-assisted workflow automation, scalable Go/Python microservices, React/TypeScript interfaces, and PostgreSQL/Elasticsearch-backed platforms used daily by customers.”
Entry-level Product Manager specializing in EdTech and startup product strategy
“Startup-oriented operator who moved from strategy and product management into self-taught engineering to build Ratemykidscoach, a youth sports transparency platform, after participating in the Sandbox Startup Accelerator. Also has experience improving PM operating processes at Instructure's Canvas LMS and balancing strategic and operational work in an academic setting.”
Entry-level Software Engineer specializing in full-stack and backend development
“Frontend/full-stack web developer with hands-on experience building browser-based applications including a social-style platform and a banking web app. Stands out for practical performance optimization work—separating frontend/backend architecture, designing APIs, reducing unnecessary rendering, and improving UI clarity through iterative user testing.”
Senior Software Engineer specializing in medical imaging and healthcare AI
“Early engineer at a 13-person pre-seed medical imaging startup who helped professionalize engineering practices and personally drove the software side of an FDA approval after stepping into a leadership gap. Also built a 3D MRI viewer and integrated AI-based tumor detection for clinician users, combining regulatory, backend, and frontend execution in a highly constrained startup environment.”
Mid-level Full-Stack .NET Engineer specializing in AI-integrated enterprise applications
“Full-stack engineer who has owned an operations/reporting dashboard end-to-end, spanning React/TypeScript frontend architecture, ASP.NET Core APIs, and SQL data access. Stands out for combining strong UI performance optimization with pragmatic backend decisions, post-launch monitoring, and 0→1 startup platform building that improved API speed by 35% while supporting 2,000+ transactions per hour.”