Vetted Networking Professionals

“Senior engineer (8 years) with experience at Facebook/Meta and Apple, spanning design tooling and XR/enterprise device experiences. Built the Origami component marketplace end-to-end (packaging node logic + metadata, SQL/JSON storage, filtering/search, local caching) with versioning and forward-compatibility decisions, and has a strong track record of UX-focused robustness improvements and safe rollouts via feature flags and telemetry.”

“Early-stage investor with PropTech exposure who sources founders through conferences, VC networks, and thesis-driven outbound. Demonstrated ability to turn cold founder interactions into multi-month relationships by providing practical support on financial models and pitch decks, while applying a thoughtful lens on product-market fit and ICP in investment decisions.”

“People operations and talent acquisition leader who was handpicked to launch the first Google Operations Center in the U.S., building the entire hiring and people-program infrastructure from the ground up (including selecting/configuring Greenhouse). Experienced scaling in new markets using deep talent intelligence and transferable-skill frameworks, and currently advises founders as a board member for a talent acquisition startup with a data-and-benchmarks-driven operating cadence.”

Nicholas Ogura

Screened ReferencesStrong rec.

Executive Platform & Security Engineering leader specializing in multi-cloud Kubernetes and FinTech

San Diego County, USA18y exp

“Startup-focused infrastructure/security leader who stepped into head of engineering and re-platformed an entire product end-to-end in 3 months to meet launch. In crypto/fintech, recognized the market-data system as an ETL/data product and rebuilt it as a separable, securely accessible platform—prompting inbound interest within a week—while advocating an open-source-first observability stack (Prometheus/Grafana/Loki) to avoid vendor lock-in.”

“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”

Margaret Liu

Screened ReferencesModerate rec.

Mid-level VC Investor specializing in early-stage investing and cross-border expansion

San Francisco, CA8y exp

“San Francisco-based VC professional with 4 years of investment banking and 3 years of venture experience, focused on high-volume founder sourcing through invitation-only Bay Area events and pitch competitions. Recently sourced two startups at an event and advanced both into follow-on meetings and due diligence, using a structured process for discovery, data room/NDA requests, and partner/IC updates.”

“Enterprise cloud/SaaS customer success leader who owned a strategic $102M Azure commitment end-to-end, rescuing a Kubernetes migration by formalizing Sev A/B triage/escalation ownership and executive governance. Drove measurable outcomes including restored executive confidence and consumption growth from $1M to $2M/month (~30% adoption growth) by tying stabilization milestones to migration velocity, forecasting, and expansion strategy.”

“Project lead who partners with PM and customers to gather requirements, adjust project plans, and deliver new functionality that drives customer satisfaction and revenue. Has experience building features end-to-end and presenting successful technical demos to engineering and management audiences; no stated experience with LLM/agentic systems.”

“Amazon engineering leader (15+ years) targeting Senior Manager/Director roles, with deep ownership of contact-center latency and reliability initiatives. Shipped a global production improvement cutting call latency 30–40% and led a complex Citrix SDK integration, including incident response and a backward-compatible rollout strategy to protect existing customers while enabling new features.”

“Unity/C# gameplay engineer from Rec Room who owned end-to-end systems spanning downloadable avatar content delivery (Addressables + auth/CDN), build automation/CI for asset bundles, and creator tooling (Avatar Studio). Also implemented AI-driven localization and generative mesh features, and has deep multiplayer experience with Photon and Photon Quantum across VR (Meta Quest) and mobile platforms, citing a 20% retention lift from faster content delivery and customization.”

“Platform/backend engineer focused on Kubernetes at scale: built a Java control-plane service for multi-region cluster provisioning/monitoring/upgrades using Kafka-driven async workers, and solved peak-load provisioning failures by eliminating blocking I/O and dynamically scaling consumers. Also shipped an LLM-assisted Kubernetes troubleshooting/remediation feature that pulls Prometheus logs/metrics into prompts and uses guardrails (confidence thresholds + human-in-the-loop) to prevent risky actions.”

“Commercial/GTN leader with GCP experience managing multi-year, multi-megawatt AI/GPU infrastructure commitments, owning segment P&L and governance for take-or-pay/reserved capacity. Drove a major client partnership scaling ARR from $50M to $100M in 18 months by aligning Product/Engineering, GTM, and infra teams and building flexible, margin-protective commercial structures. Known for speeding hyperscaler procurement/security reviews (FedRAMP/SOC2, IAM, data residency) and operationalizing multi-region delivery with landing zones and IaC.”

George Liu

Screened

Intern Software Engineer specializing in full-stack, backend, and AI agent systems

Fremont, CA1y exp

“Backend engineer with Tesla experience who redesigned vehicle registration into a step-based, region-configured workflow across 4–5 microservices, enabling partial saves and reducing customer drop-off. Has hands-on experience scaling and securing Python/FastAPI APIs (OAuth2/JWT, CORS), migrating cold data from MySQL to MongoDB via Kubernetes CronJobs, and implementing RBAC/RLS with Supabase + Postgres.”