New York, New York, United States
As a senior engineer who's built technical foundations for high-growth companies and consulted across finance, real estate, and private equity, I've learned that the best architecture decisions come from deeply understanding the business problem first. My background combines hands-on execution with strategic thinking across industries. I've been lead engineer at a B2B SaaS startup, built AI platforms, designed systems for hedge funds and real estate firms, and conducted technical due diligence for venture-backed companies. In each case, I was translating business requirements into scalable solutions and helping stakeholders understand architectural tradeoffs. I've sat on both sides as technical co-founder, consultant, and engineer. I understand how investors evaluate technical risk because I've conducted due diligence. I know what keeps finance teams awake because I've built their analytics platforms. I architect solutions that work in real enterprise environments, not just theory. Through Shoobridge, I advise growing businesses on AI implementation—helping companies deploy AI to solve operational challenges. This consulting keeps me grounded in business constraints and organizational change management. This hands-on advisory work makes me a better architect because I understand the customer perspective deeply. Currently building AI automation at ESS while positioning for Solutions Architecture roles at companies solving complex problems at enterprise scale. I'm drawn to pre-sales SA work where I can help customers understand how technical solutions map to business outcomes, design architectures for their environments, and serve as the technical voice turning evaluations into partnerships. My technical foundation spans AWS (Lambda, EC2, SQS, S3, Aurora RDS), .NET, React, Vue.js, and performance optimization delivering real results—like increasing ETL throughput 330x. What excites me is solving business problems: cutting infrastructure spend fifty percent, automating bottlenecks, designing systems handling millions of events reliably. Whether you're building technology needing deep technical understanding to sell effectively, or exploring how AI can transform operations, let's connect.
Building AI-powered automation and mission-critical infrastructure for the nation's leading K-12 staffing platform, serving 900+ school districts and managing 100,000+ substitute teachers nationwide. AI & AUTOMATION IMPLEMENTATION - Architecting AI/LLM solutions to automate manual operational processes across the staffing workflow, reducing administrative overhead and enabling the platform to scale efficiently. Building practical AI applications that deliver measurable operational improvements in education staffing operations. - Designing intelligent automation systems that streamline workflows for internal teams and school district administrators, improving response times and operational efficiency across a network serving hundreds of thousands of educators. BUSINESS-CRITICAL SYSTEMS AT SCALE - Key contributor to new invoicing system replacing legacy infrastructure handling $1B+ in annual transaction volume. Implemented reliability, accuracy, and auditability features ensuring seamless financial operations across 900+ school districts. - Supported technical integration of major acquisition into core platform, working on data migration, system consolidation, and cross-functional coordination while maintaining service continuity for customers. INFRASTRUCTURE & PERFORMANCE - Execute strategic infrastructure improvements including platform migrations, technology stack updates, and performance tuning that enhance system reliability and operational efficiency. - Work directly with CTO and cross-functional teams to align technical initiatives with business priorities, translating technical tradeoffs into strategic recommendations. Tech stack: Python, JavaScript/TypeScript (React), C# (.NET Framework), SQL, AWS
Advising growing businesses on AI implementation strategy and hands-on technical consulting across finance, real estate, private equity, and B2B operations. Help companies deploy practical AI solutions that deliver ROI quickly. CURRENT AI IMPLEMENTATION ADVISORY - Partner with companies (20-50 employees) to design and implement AI-powered workflows that automate manual processes, reduce operational costs, and enable scaling. Focus on practical, ROI-driven implementations. - Bridge the gap between AI capabilities and business operations—translating technical possibilities into concrete solutions within budget and organizational constraints. PAST ENGAGEMENTS Financial Services Infrastructure | Hedge Fund - Designed infrastructure with security protocols, compliance requirements, and scalability foundations for financial operations. AI Sales Platform | Startup Co-Founder - Architected AI-driven sales platform, combining technical execution with go-to-market strategy and product validation. Real Estate Analytics | GIS Platform - Built geospatial analysis platform for data-driven investment decisions across U.S. markets. Private Equity Deal Sourcing - Designed platform for deal evaluation workflows with data aggregation and automation. Technical Due Diligence - Conducted technical assessments for venture-backed companies, evaluating architecture, team capabilities, and scalability risks for investors. Financial Analytics | Fintech - Developed analytics systems with emphasis on performance, data integrity, and compliance. Created transaction propagation visualizer for real-time data. KEY VALUE - Cross-industry experience across finance, real estate, and private equity—understanding each sector's distinct priorities - Communicate technical tradeoffs in business language for non-technical stakeholders - Trusted technical advisor to fund managers, investment committees, and executive teams
Architected high-value B2B SaaS products and technical infrastructure for a high-growth marketing automation platform. Led full-stack development from executive requirements through deployment, with emphasis on performance optimization, customer-facing systems, and development process improvements. CUSTOMER-FACING PLATFORM ARCHITECTURE - Designed and shipped Canvas, a visual workflow builder that eliminated vendor dependencies and empowered enterprise marketing teams to build complex automation workflows without engineering support. Platform processes millions of customer events monthly and serves as a core product differentiator. - Built user tracking system enabling B2B customers to install behavioral tracking on their websites and feed real-time data to our CRM platform. Architected for reliability at scale—ingesting millions of events per month with sub-second latency. - Developed complete onboarding and continuous import automation suite that replaced manual, labor-intensive processes, reducing customer time-to-value and operational overhead. BUSINESS IMPACT THROUGH TECHNICAL EXCELLENCE - Reduced AWS infrastructure spend by 50% through strategic architecture optimization and resource lifecycle management while maintaining high availability—delivering immediate bottom-line impact. - Automated report generation procedures for B2B clients, eliminating manual work that constrained customer support scalability. - Achieved <1s response times across all customer-facing APIs through performance-first architecture. - Led complete rewrite of business-critical ETL process, increasing throughput from 1 event/second to 330 events/second per thread (330x improvement)—removing major scaling bottleneck. Tech stack: C# (.NET 6, ASP.NET Core 6, Entity Framework Core 6), JavaScript/TypeScript (Vue.js), PostgreSQL (Aurora RDS), Python, AWS (Lambda, EC2, SQS, S3)