Vetted Stakeholder Communication Professionals

Pre-screened and vetted.

RS

Ryan Simon

Screened ReferencesStrong rec.

Staff Android Engineer and mobile engineering leader specializing in Kotlin Multiplatform

San Francisco, CA12y exp
MonzoUC Riverside

Engineering leader with hands-on Android architecture expertise who has scaled mobile teams at Weedmaps (including forming a Platform team and rolling out MVVM/unit testing) and also co-founded a bootstrapped side business (Sizzle), owning the technical roadmap, hiring strategy (university pipeline + senior remote engineers in Pakistan), and stepping into fundraising when runway became critical.

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SM

SOURABH MISHRA

Screened ReferencesModerate rec.

Senior Software Engineer specializing in FinTech and distributed systems

Seattle, WA6y exp
AmazonUniversity of Cincinnati

Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.

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Nishitha Thummala - Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference in San Francisco, CA

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference

San Francisco, CA6y exp
PerplexityUniversity of Nebraska Omaha

Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.

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Nikhil Reddy - Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms in San Francisco, CA

Nikhil Reddy

Screened

Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms

San Francisco, CA5y exp
NVIDIASaint Louis University

Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.

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CT

Executive space systems CTO specializing in aerospace manufacturing and mission planning

Austin, TX14y exp
GalactivGeorgia Tech

Public speaker and technology strategist focused on how space will impact other industries, with audiences ranging from mid-career professionals to executives. Has operated across the startup ecosystem through Kauffman Foundation, Singularity University, and Starburst, and previously served as CTO at Gantri building process and ROI models to improve system performance. Especially compelling for early-stage, frontier-tech, or space-adjacent companies that need someone who can bring order to ambitious ideas.

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SK

Sandra Keller

Screened

Senior strategy and partner enablement leader specializing in global programs and AI adoption

New York, NY10y exp
Keller ConsultingIE Business School

International development and consulting professional with experience spanning Deloitte, McKinsey, the World Bank, IFC, IDB, and the International Rescue Committee. She has led multi-million-dollar global programs, authored proposals and published research, operated in emergency relief settings across East Africa, and even launched her own startup—bringing a rare mix of strategy, finance oversight, field execution, and high-level stakeholder management.

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MW

Director of Strategy & Operations specializing in ESG, climate tech, and enterprise software

San Francisco, CA12y exp
Windfall BioStanford University

Operator with consulting and startup experience who has led founder-level, zero-to-one initiatives across highly complex domains—from conceiving and launching an $80M, 80m maritime disaster-response vessel for Global Support & Development (Sergey Brin’s org) to acting as a cross-functional leader at Windfall Bio spanning regulatory, GTM, partnerships, and R&D. At Deloitte, owned the Omnia ESG software roadmap and drove >30% faster delivery through standardization/automation, and was tapped to train other managers on their operating cadence system.

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Steve Palley - Executive product leader specializing in marketplaces, consumer products, and health-tech in Los Angeles, CA

Steve Palley

Screened

Executive product leader specializing in marketplaces, consumer products, and health-tech

Los Angeles, CA21y exp
Sharp PerformanceUCLA

Product leader with a rare mix of zero-to-one marketplace building, AI product development, and mission-driven consumer experience work. Led the creation of StoryLoom at Pixelberry/Nexon as a 'Roblox for writers,' is currently building a privacy-conscious AI concierge for a first responder coaching marketplace, and previously co-founded ApplyMap to deliver free AI-powered college guidance for underserved students.

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MJ

Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems

Mesquite, TX11y exp
AmazonUniversity of Texas at Dallas

ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.

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Vandana Ravi - Mid-level GTM analytics professional specializing in strategy, operations, and growth in New York, NY

Vandana Ravi

Screened

Mid-level GTM analytics professional specializing in strategy, operations, and growth

New York, NY6y exp
LinkedInNYU

Engineer and current MBA student making a post-MBA pivot into venture capital, with a strong track record of sourcing and nurturing early-stage founder relationships. She combines technical curiosity in AI with deep NYC ecosystem networking and says she has translated hundreds of qualified founders into conversations with relevant VCs.

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SR

Mid-level Machine Learning Engineer specializing in LLMs and RAG systems

San Francisco, CA5y exp
Scale AIUniversity of New Haven
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CG

Executive HR Leader specializing in global talent strategy, leadership development, and D&I

Bethesda, MD35y exp
IBMUniversity of Maryland, College Park
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TM

Mid-level Business Analyst specializing in data analytics and financial systems

Dublin, CA4y exp
BNY MellonUniversity of Wisconsin–Madison
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JR

Mid-level Product Manager specializing in AI, security, and SaaS

Washington, USA5y exp
AtlassianSaint Louis University
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CZ

Mid-level AI Solutions Architect & Product Leader specializing in enterprise GenAI systems

Santa Clara, CA3y exp
Dell TechnologiesUC Berkeley
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TP

Executive technology leader specializing in AI, cloud, and venture-backed innovation

Washington, DC22y exp
OSPARNANJIT
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MM

Mariana Marini

Screened ReferencesStrong rec.

Director-level HR & Talent Acquisition leader specializing in aviation and employee relations

Dallas-Fort Worth, TX16y exp
Air CanadaUniversity of the People

15-year Talent Acquisition leader in the airline industry who has run large, high-volume recruiting operations (6,000–8,000 hires/year) across airport ops, maintenance, IT, and inflight roles. Known for rebuilding TA workflows and ATS operations (iCIMS) to automate communications and improve compliance transparency—cutting onboarding from 6 to 2 weeks and improving time-to-fill—while also delivering multi-source Power BI KPI dashboards and leading change management for major ATS transitions (Taleo to SAP SuccessFactors).

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MV

Michael Vance

Screened ReferencesStrong rec.

Senior AI & Data Engineering Manager specializing in Appian and cloud data platforms

New York, NY10y exp
DeloitteUniversity of Virginia

Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.

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JP

James Prolizo

Screened ReferencesStrong rec.

Executive Technology Leader specializing in digital, AI, cloud, and cybersecurity transformation

Atlanta, GA9y exp
SovosMercer University

CIO-level technology leader (most recently at Sovos) who owned the full tech roadmap across product, infrastructure, and corporate IT, scaling engineering across 14 countries with an architectural review board and standardized security/observability. Hands-on in high-severity incidents (ransomware) while managing executive/client communications, and drove a reported 40% product-velocity lift by adopting AI code assistants and agentic AI (Devin) alongside Kubernetes + Bottlerocket for secure scalability.

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MS

Matt Shade

Screened ReferencesStrong rec.

Director-level AI engineering leader specializing in media platforms and newsroom workflows

New York, NY19y exp
NBCUniversalMount Ida College

Product-minded frontend/UX leader with notable experience at CNBC, where they owned premium subscription and engagement flows from problem definition through production and post-launch iteration. They stand out for combining high-polish React implementation, Figma-driven systems thinking, and AI-assisted prototyping to quickly ship and refine conversion-focused experiences.

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GK

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning

San Francisco, CA5y exp
MetaUniversity of Central Missouri

ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.

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AF

Alvin Fan

Screened

Mid-level Markets & Product Professional specializing in FX, analytics, and mission-driven tech

Hong Kong, Hong Kong7y exp
CitigroupBrown University

Finance professional (Citi) blending strategic account work with hands-on analytics/automation: led Asia’s first digital banking conferences and delivered 6 institutional client acquisitions. Built self-serve dashboards/VBA tools and self-taught Python to create an ML classifier still used daily, and uncovered ~$5M in untapped annual revenue. Experienced partnering with compliance/legal and navigating sensitive regulatory information in FX markets.

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