Pre-screened and vetted.
Director of Software Engineering specializing in AI-native full-stack product engineering
“Engineering director and former front-end engineering manager with a strong blend of people leadership, UX/design-system ownership, and hands-on technical depth. At Siemens, they led a 15-person US/Europe team through a SaaS-era design-system transformation, winning over resistant product teams and exceeding adoption goals; at Intellimize, they solved legacy-browser constraints with a custom TypeScript-based build pipeline that improved quality, morale, and user experience.”
Staff Front-End Engineer specializing in enterprise cloud and AI-driven applications
“Frontend-leaning architect with deep React/TypeScript expertise who has repeatedly owned platform-level problems across Oracle Health, Oracle Cloud, and Veritas. Stands out for building cross-plugin routing standards for a next-gen EHR, high-scale real-time observability dashboards, and even stepping into backend/AI infrastructure design with Kafka- and RAG-based systems.”
Principal Cloud & Cybersecurity Architect specializing in regulated financial and government environments
“Serial venture builder/operator across ad tech, media delivery, search engines, international content management, and ecommerce; has raised up to $150M and been involved in 8 acquisitions or IP-acquisition events. Known for refactoring/re-engineering smaller or troubled platforms into higher-value businesses, including building yield-management algorithms and a Kafka-like system to improve ad delivery profitability.”
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and production ML systems
“Backend/founding-engineer-style builder who designed and evolved a near-real-time customer churn prediction platform (FastAPI + AWS SageMaker/Lambda + Redis + MLflow) to enable real-time retention actions, reporting ~18% churn reduction. Demonstrates strong production engineering in secure API design, incremental migrations with data integrity safeguards, and robustness improvements in async pipelines (idempotency, DLQs, retry visibility).”
Intern Machine Learning & Robotics Engineer specializing in computer vision and SLAM
“Robotics software engineer with hands-on medical robotics experience on an automated CT-guided lung biopsy robot, building a CT-voxel-to-mesh pipeline that generates and visualizes up to 1000 collision-safe needle insertion points and ports them into robot space for IK execution. Strong ROS2 background spanning AprilTag perception, Kalman-filter state estimation, visual SLAM, and Voronoi-based motion planning, plus deployment work containerizing ORB-SLAM on ROS2 Humble and CI/CD automation at Siemens EDA using Perforce.”
Mid-level DevOps Engineer specializing in cloud infrastructure, CI/CD, and DevSecOps
“Platform-focused engineer experienced in productionizing ML/LLM systems: containerized a local prototype, implemented CI/CD, deployed to Kubernetes with scaling controls, and added monitoring/logging. Comfortable diagnosing real-time issues in LLM/agent workflows using logs/metrics and incident stabilization tactics, and supports sales calls by clearly explaining production scalability to unblock customer decisions.”
Engineering Leader specializing in cloud modernization and AI/ML integration
“Player-coach engineering leader focused on buyer/distribution product lines, building scalable purchasing/planning frameworks and modernizing workflows. Drove performance and reliability improvements via queue-based async architectures, external API redundancy, and CI/CD automation, and has led production incident response (cache-related) with follow-up playbooks and monitoring. Experienced in high-growth/startup environments, combining hands-on delivery with mentoring, 1:1s, and performance coaching.”
Executive Technology & Product Leader specializing in Healthcare IT, SaaS, and Cloud Transformation
“Startup product/enterprise-stack builder who helped take Ventric Health from R&D to a market-launched healthcare product in 2024, operating in a $34M-raised, revenue-generating model leveraging Medicare C reimbursement through providers. Previously drove adoption of an integrated K-12 digital learning platform distributed to 100+ institutions over two years, with reported improvements in test scores.”
Executive healthcare technology leader specializing in AI platforms and enterprise product strategy
“Recently left United and is independently building software prototypes, with a strong interest in AI-native company creation. Brings Fortune 5 exposure to acquisitions and early involvement in a corporate venture initiative (Redventure), giving them some perspective on how startups and larger enterprises intersect.”
Executive CTO and software engineer specializing in FinTech platforms
“CTO-oriented engineering leader who emphasizes building and mentoring teams while aligning technology work to real business needs through close collaboration with product stakeholders. Also has entrepreneurial exposure, including an alcohol-related startup and prior experience securing funding.”
Mid-level Full-Stack Java Developer specializing in FinTech
“Built a production AI-powered insights platform for marketing teams analyzing large-scale social and news data, combining Java microservices, Kafka, Spark, React, and LLM-based retrieval workflows. Stands out for shipping customer-facing AI features with measurable gains in accuracy and latency, plus solid reliability practices for high-volume backend systems.”
Executive engineering leader specializing in SaaS, cybersecurity, IAM, and telecom platforms
“Senior engineering leader with deep hands-on experience scaling and stabilizing complex SaaS platforms, including leading the OneLogin identity platform and managing globally distributed teams of up to 105 people. Particularly strong in reliability engineering, infrastructure modernization, and cross-functional execution, with a track record spanning platform unification, enterprise product delivery, and tailored Agile transformations.”
Junior Software Engineer specializing in cloud-native microservices and AI/ML observability
“Engineer with banking and industrial/IoT experience who has deployed a payment-processing microservice with zero downtime, handling Protobuf schema evolution and sensitive data migration via dual-write/checksum techniques. Demonstrates strong cross-stack troubleshooting (pinpointed intermittent distributed timeouts to a failing ToR switch port) and customer-facing Python ETL customization using plugin-based parsers and Pydantic validation, plus hands-on monitoring/alerting improvements with operators.”
Mid-level Machine Learning Engineer specializing in fraud detection and LLM applications
“Unreal Engine UI engineer focused on scalable, production-ready UI architecture (C++/Slate/UMG/CommonUI) with strong designer enablement via decoupled, interface-driven patterns and MVVM. Demonstrated measurable performance wins: replaced 200+ per-frame Blueprint bindings to cut UI prepass/paint from 4.2ms to 0.5ms and reduced VRAM by ~120MB using texture streaming proxies.”
Mid-level Python Full-Stack Developer specializing in Healthcare and FinTech
“Backend engineer with hands-on experience building a fraud-transaction monitoring system in Python/Flask, architected as Dockerized microservices and integrated with Kafka for high-volume streaming. Demonstrates strong performance and reliability chops across PostgreSQL/SQLAlchemy tuning (EXPLAIN ANALYZE, N+1 fixes, bulk ops), multi-tenant data isolation, and scaling via background workers + Redis caching, plus real-time ML inference deployment using TensorFlow on AWS.”
Executive technology leader specializing in AI/ML, data engineering, and enterprise architecture
“Technical founder building an AI IT helpdesk agent startup, currently leading product development as acting CTO/CPO and doing much of the development personally with a small partner group. Brings years of cross-industry technical experience, product/vendor evaluation expertise, and a deliberate strategy to delay outside capital until the product and customer traction are stronger.”
Director of Engineering specializing in SaaS platforms, AI-first product development, and telecom
“Technology leader with venture-backed company experience at LogicMonitor, where they aligned engineering strategy with business growth and long-term platform scalability. Demonstrates strong familiarity with the VC/studio/accelerator ecosystem and a thoughtful founder mindset centered on validating real problems, innovative solutions, and execution capacity.”
Senior Full-Stack Engineer specializing in SaaS, mobile, and AI platforms
“Product-minded full-stack engineer with experience shipping engagement features and core communication systems at DribbleUp and Expys. Stands out for combining rapid MVP execution with rigorous iteration: delivered a leaderboard feature that lifted engagement by 8% initially and 20% overall, built a chat MVP in 3 days, and has hands-on experience deploying LangChain-based concierge agents with evals and human review.”
Executive product and AI leader specializing in enterprise SaaS for regulated industries
“UC Berkeley CS–trained hands-on engineering leader with executive experience spanning fundraising and board/customer communication. Led architecture and roadmap for AI-driven fintech platforms (including portfolio data, market signals, document processing, and Bitcoin trading), scaling global orgs (~100 people) and driving modular API-based designs that improved reliability, onboarding speed, and customer retention.”
Director-level Product Leader specializing in FinTech, SaaS, and digital growth
“Senior product leader with experience across Times Internet, Mudah.my, Wells Fargo, and delivery/logistics products, spanning SaaS, marketplace, fintech, and AI-enabled platforms. Stands out for building products end-to-end with strong commercial outcomes, including a multi-channel engagement platform that became a new SaaS revenue stream and AI features that improved marketplace liquidity while keeping humans in control.”
Executive Technology Leader specializing in enterprise IT, cybersecurity, and AI transformation
“C-suite operator across multiple private-equity portfolio companies now raising capital for a thesis focused on meeting AI datacenter energy demand via AI-driven monitoring/inspection and condition-based maintenance for nuclear and natural gas generation. Has early traction with PE firms and is engaging target acquisition candidates, aiming to serve as an operating partner or CEO to execute the value-creation plan. Previously delivered a mobile-enabled workflow improvement for mutual fund valuation using HTML5 responsive design and CAB-driven agile development.”
Director-level Engineering Leader specializing in usage-based metering, FinOps, and GenAI platforms
“Founding Principal Engineer/Head of Engineering at Amberflo (Seed $5M Homebrew; Series A Norwest) who built and shipped an AI Gateway + real-time LLM cost metering/pricing MVP end-to-end (control plane/data plane, AWS infra, CI/CD). Known for extremely fast MVP cycles (often 1–2 weeks), scaling teams (50–60 hires), and driving major pivots (usage-based billing to FinOps) by repurposing an existing metering/pricing platform; based in Chicago and has led a Silicon Valley startup remotely with frequent Bay Area travel.”
Senior Full-Stack Engineer specializing in React/Node.js and enterprise web applications
“Senior frontend engineer with experience leading high-impact React/TypeScript products at HelloFresh and CAA, including an A/B-tested onboarding flow shipped across multiple international brands. Modernized a legacy .NET frontend to Next.js using SSR and performance techniques (caching/memoization/lazy loading) and implemented robust testing/monitoring (Cypress, Honeycomb, GA) in fast-paced, production-deploy environments.”
Director-level Software Engineering Leader specializing in cloud, microservices, and AI/ML
“Development manager focused on developer productivity and platform enablement in a polyglot microservices environment. Drove ~50% productivity gains by evaluating and rolling out AI coding copilots with team training and cross-team demos, and designed a Disaster Recovery framework adopted by 50+ microservice teams. Also led edge-focused Python runtime optimization and relies on heavy test automation to safely execute large refactors during major platform upgrades.”