Vetted Salesforce Professionals

Stephen Koo

Screened

Senior Software Engineer specializing in LLM infrastructure and AI inference platforms

New York, NY8y exp

“Google Workspace AI engineer who owned major AI assistant infrastructure end-to-end: React/TypeScript UI, a Node.js context-aggregation gateway on Cloud Run, and a Go inference layer on GKE serving Gemini. Built and productionized Gmail RAG + agentic workflows with rigorous evals and guardrails, and has a strong track record of measurable impact (latency, engagement, acceptance-rate lifts) and zero-incident migrations using feature flags/strangler patterns across multiple ML teams.”

Timothy Washington

Screened ReferencesStrong rec.

Senior Product Manager specializing in AI-powered products and responsible AI

Cranbury, NJ18y exp

“Mission-driven product and program leader who built WhatsApp’s talent inclusion infrastructure from scratch and later applied AI at Google to scale inclusive product evaluation across 25+ teams, including Gemini. Brings a rare mix of product systems thinking, human-centered AI judgment, and lived experience growing up in public housing that deeply informs their focus on equity, access, and accountable technology.”

“COO/CFO and startup co-founder (Gratia, Inc.) who has built operational infrastructure end-to-end across finance, contracts, resourcing, and talent management. Has scaled multiple early-stage businesses (<$20M revenue) and supported outcomes including a sale to a private equity-backed strategic buyer, with a pragmatic approach centered on clear processes, stakeholder alignment, and leveraging tools like QuickBooks, Bill.com, HubSpot, and Salesforce.”

“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”

Daozheng Chen

Screened

Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS

San Jose, CA12y exp

“Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.”

Kevin Wang

Screened

Senior Software Engineer specializing in cloud infrastructure and distributed systems

Adams, MA8y exp

“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”

“Early-stage investor/sourcer with experience at Insight Partners and M13 who combines thesis-driven outbound with deep ecosystem presence to generate proprietary founder relationships. Particularly strong in generative AI, creative tooling, and commerce tech, with added credibility from Gold House Ventures fellowship, angel investing communities, and a fractional fundraising advisory practice that has helped founders close rounds.”

“Founder-sourcing and pipeline operator with energy/sustainability network who has sourced and built multi-touch relationships with founders (including an SF-based founder building an AI platform for data-center permitting/financing/offtake). Uses a structured discovery and tracking process, provides value through insights and introductions, and produces partner-ready summaries and recommendations to drive go/no-go decisions.”

“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”

“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”

Gayatri Puwar Mahendroo

Screened ReferencesStrong rec.

Director-level Product Leader specializing in AI, platforms, and B2B SaaS

San Francisco, CA19y exp

“Senior product leader with 15+ years spanning FAANG-scale platforms and early-stage startups, from Skype’s bot framework at 300M MAU to AI-native enterprise products in fintech, banking, and data center operations. Particularly strong in human-centered AI, trust and transparency UX, and turning ambiguous 0-1 opportunities into shipped MVPs that win pilots, awards, and business traction—including a GenAI observability platform that earned a Google Accelerator award and later led to acquisition.”

“Growth marketing and marketing ops leader who joined a PE-owned SaaS business after $150M in annual sales and built the demand gen function from the ground up (roles, processes, tech stack, and reporting). Implemented SiriusDecisions-based lead processes, Salesforce-driven lead scoring/routing, and multi-touch attribution, then enabled sales via Challenger training—driving $231M in pipeline and improving marketing ROI to $6 pipeline per $1 spent.”

“Early-stage founder building a service business targeting small clinics, already with one client. Identified the opportunity by helping a family member and then validating needs through direct client conversations; uses AI (including AI agents) for content generation and plans deeper workflow automation to scale cost-effectively.”

“Product leader with deep edtech experience who built Kaltura's LMS-native video and assessment suite and later shipped a Gemini-powered workflow at Google to help unemployment adjudicators resolve claims faster. Stands out for combining technical product fluency, human-centered AI thinking, and strong cross-functional leadership across design, engineering, sales, and support.”

“Entrepreneurial healthcare operator currently serving as investor, co-founder, and COO of Mednevo, a startup combining AI with physician oversight rather than replacing doctors. Brings experience from 8 startups, prior capital raising, and a practical approach to healthcare AI trust, including doctor-controlled AI shutoff, HIPAA-minded compliance, and physician validation of LLM outputs.”