Vetted Stakeholder Communication Professionals

“Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.”

“Engineer with startup experience building AI-powered internal knowledge and support products from ambiguous early-stage concepts into production systems used by multiple teams. Particularly strong in end-to-end LLM product delivery across backend orchestration, retrieval, observability, security, and full-stack user experience, with clear impact on productivity and self-service adoption.”

Christopher Sipola

Screened

Senior Machine Learning Engineer specializing in LLMs and recommendation systems

New York, NY11y exp

“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”

“Former lawyer and Bain consultant who evolved into a senior media/operator leader across NBCUniversal, Discovery, Nickelodeon, and a subscription gaming startup. Unusually combines top-tier analytical training, enterprise dealmaking, and COO-level execution—building proprietary analytics systems, leading Discovery+ launch partnerships that delivered 20M year-one subscribers, and driving startup turnaround improvements including a $2M inventory obsolescence avoidance.”

“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.”

Muneendra M

Screened

Mid-level Software Engineer specializing in event-driven backend and AI-enabled systems

San Francisco, CA4y exp

“Full-stack engineer at Stripe who owned a webhook monitoring and retry platform end-to-end, spanning backend services, React dashboards, and production operations. Stands out for combining strong distributed-systems judgment with product polish, including a reported 31% improvement in webhook delivery reliability and UI improvements that reduced support burden.”

“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.”

“Recruiting leader with experience at Google and YieldStreet who combines people management with a heavy personal requisition load (15–20). Partnered directly with HRBPs and the CFO on international/executive hiring, budgeting, equity decisions, and board-level quarterly planning. Led a department-wide ATS replacement and enforced interview training/compliance and SLAs to improve data quality and time-to-fill.”

“Engineering/tech leader with experience spanning major platforms (mentions Microsoft and AWS) and leading ML-driven product architecture (ranking systems). Describes driving a shift to a layered, API-standardized service architecture (including vector database components) that materially increased delivery speed (weeks to hours) while improving scalability and security, and emphasizes rigorous execution reviews (QDR/OKRs) plus transparent remote-team operating rhythms.”

“Product leader with experience at Disney, Hallmark Media, and Storytelling Tech who has led both streaming and AI-powered content products. Notably shipped VERP, a generative AI "prompt-to-publish" video platform, and brings a clear human-centered AI philosophy focused on augmentation, trust, and fast user outcomes rather than full automation.”

“Senior product engineering and data architecture leader who has owned end-to-end solutions for enterprise analytics and legal search platforms, including work for Sony Pictures Entertainment and Accenture Legal. Combines executive-level architecture and team leadership with hands-on experimentation in modern AI systems, recently building a multimodal Hugging Face agent that significantly exceeded its benchmark score.”

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.”

“Product Manager at Amazon focused on recruiting technology and AI/ML, owning ATS experiences at massive scale across 24M annual applications. Stands out for driving a vision to turn Amazon's ATS into an AI-native platform, with measurable business impact including $10M+ in savings, major recruiter efficiency gains, and strong experimentation-driven product decisions.”

“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”

Sanjana Gehlot

Screened

Senior digital consultant specializing in operations, supply chain, and transformation

New York, NY7y exp

“MBA-trained operator with a mix of startup, venture capital, consulting, and enterprise PMO experience. She has a strong track record of quickly ramping on complex technical domains—from cybersecurity to financial services systems change—and turning ambiguity into structured analysis, clear narratives, and measurable operational improvements.”

“Engineering leader who built and scaled a distributed team (Serbia + US) to deliver an internal multi-tenant Kubernetes-based PaaS, moving a large org from manual ops-driven deployments to automated CI/CD with >99.97% uptime and 100% service adoption. Known for culture change (blameless post-mortems, clear intake via ticketing) and security-first platform practices (tenant isolation, Falco) supporting SOC2 compliance; also operates at exec level with stakeholder communication and fundraising.”

“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.”

“MBA candidate with early-stage venture capital experience and hands-on operating exposure at a growing CPG startup. Built an AI tooling pipeline for a newly spun-out fund, supports founders on finance/ops and go-to-market decisions, and brings a rare mix of investor rigor, startup empathy, and consumer trend intuition.”