Vetted .NET Professionals

Vaughn Eugenio

Screened ReferencesModerate rec.

Mid-Level Software Engineer specializing in distributed microservices and real-time systems

2y exp

“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”

“Frontend engineer with senior-level scope who has shipped complex React/TypeScript products end-to-end, including a multi-page site built solo in four weeks (complex forms, PDF generation, email + localization) and a GraphQL-driven dashboard for a car dealership management platform. Known for modular, testable architecture, performance-minded data fetching (batched calls), and improving design-system consistency via reusable, Storybook-documented components and feature-flagged rollouts.”

“At Triple Whale, partnered with product, engineering, and sales to bring enterprise LLM-based budget recommendation agents from impressive prototypes to trusted production workflows. Strong in prompt/input tuning, explainable structured outputs, and running tightly-scoped POCs with clear success criteria—plus hands-on technical demos and post-sale implementation to drive adoption.”

“Seasoned IT professional services and business transformation executive (currently global Head of Business Transformation Management at Fujitsu) who has built scalable sales-to-delivery operating models for growing boutique firms. Uses data-driven process/task mining plus stakeholder-led prioritization to deliver measurable outcomes, including a 30% manufacturing cycle-time improvement and 80+ SAP S/4HANA improvement recommendations implemented via a phased roadmap.”

“Insurance-tech CTO and repeat founder with 10+ years in insurance startups; was employee #4/CTO at Polly (formerly DealerPolicy) and helped scale it from a PowerPoint to 250 employees while raising $180M+. Currently building and selling AgentCanvas.ai—an extensible AI accelerator platform for large insurance agencies—after coding the product end-to-end and now running demos/POCs with prospective buyers.”

“Former PwC Director with hands-on early-stage venture experience (e.g., BridgeLights, a big-data analytics concept for early fintech) spanning concept creation, platform architecture, and go-to-market experimentation. Strong focus on building scalable, modular data platforms with rigorous governance/compliance (data lineage, quality controls) and supporting technical diligence in investor-aligned environments.”

“Candidate is not currently pursuing a startup and has no familiarity with the VC/accelerator ecosystem, but shows a thoughtful founder mindset centered on building from scratch, evaluating user impact and implementation feasibility, and avoiding financially reckless entrepreneurship.”

John Krikorian

Screened

Senior Software Engineer specializing in AR, UI/UX, and interactive applications

12y exp

“AR/Unity-focused engineer who built a multi-user whiteboarding app for smart glasses, including vector-based collaborative drawing, spatial object persistence, and a voice-driven AI assistant that could manipulate the scene through custom tools. Their work spans real-time networking, spatial UX, and LLM integration, with systems robust enough that some features were reused by other developers internally.”

“Candidate has hands-on experience delivering production data and AI systems, including an AWS-based real-time data platform for a financial client at Deloitte and a production RAG workflow that cut manual search time by 40%. They stand out for combining strong data engineering depth with practical LLM governance, incident debugging, and stakeholder management across business and risk/compliance teams.”