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Vetted Stakeholder Communication Professionals

Pre-screened and vetted.

EP

Ethan Pribble

Screened ReferencesStrong rec.

Senior Software Engineer specializing in cloud cost intelligence and FinOps platforms

21y exp
CloudZeroNorthwestern University

Backend/data engineer with strong authorization and compliance-domain experience: led a phased migration from a simplistic role model to modern RBAC on a Python serverless stack (Auth0 + AWS Lambda/API Gateway), coordinating changes across 5 repos with extensive manual and automated validation. Previously built and operated custom ETL pipelines (Airflow + Groovy/Java on Spark/YARN/Hadoop) to normalize messy customer email/chat/voice data for NLP-driven financial compliance indicators, including complex email journaling metadata enrichment and large-scale remediation reprocessing after production bugs.

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PS

Pamela Shand

Screened

Director of Talent Acquisition specializing in workforce planning, analytics, and internal mobility

Newark, NJ19y exp
NJ TRANSITNew York Institute of Technology

Operations and talent strategy leader who has supported two early-stage tech startups by optimizing org structure and building scalable recruiting operations. Implements KPI-driven hiring systems, employer branding/attraction strategies, and DEI/SMART/SWOT frameworks, and has a concrete example of reducing declined offers by shifting compensation discussions earlier and training hiring managers. Experienced mentoring founders/executives through mission-aligned, flexible development plans and structured communication processes.

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EY

Edward Yeh

Screened

Director-level Data Engineering & MDM leader specializing in enterprise data platforms

Hunt Valley, MD20y exp
Sinclair Broadcast GroupUC Santa Barbara

Former Xendit (YC-backed fintech) operator applying outcome-driven, scalable product-building experience to a new startup: a real-time, personalized real estate investment intelligence platform. Has begun prototyping, completed ROI analysis, and validated the space with US market research plus broker interviews in Chicago and Los Angeles, aiming to differentiate from Zillow/Redfin with goal-based ranked investment recommendations.

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HP

Mid-level Marketing Manager specializing in performance marketing and marketing analytics

San Francisco, CA6y exp
GoogleConcordia University Wisconsin
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NG

Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and GPU-accelerated deep learning

USA5y exp
NVIDIAUniversity of Maryland, Baltimore County
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HL

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

San Francisco, CA5y exp
Scale AILong Island University
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HL

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

San Francisco, CA4y exp
Scale AILong Island University Brooklyn
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RC

Technology Executive specializing in AI-native engineering and cybersecurity governance

Remote, VA17y exp
Cyber FoundryFresno State
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SS

Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems

Overland Park, KS4y exp
KPMGUniversity of Central Missouri
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SS

Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems

San Francisco, CA6y exp
StripeSaint Louis University
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PD

Pavan Devulapalle

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development

Seattle, WA3y exp
AmazonUniversity of Texas at Dallas

Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).

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AG

Aman Garg

Screened

Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript

San Francisco, CA5y exp
ZEISSGeorgia Tech

Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.

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BK

Mid-level Machine Learning & Software Engineer specializing in RAG systems and ML infrastructure

Atlanta, GA4y exp
Montage TechnologyGeorgia Tech

Built and deployed an in-house RAG LLM system ("MONTY") using LLaMA 3B + FAISS to help teams quickly understand long internal/external specifications. Delivered usable production performance despite severe compute limits (single RTX 3080) by tuning retrieval/reranking and model choice, and is planning a LightRAG/knowledge-graph rewrite to improve accuracy and latency.

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GW

Geng Wang

Screened

Staff Product/UX Designer specializing in enterprise platforms, data visualization, and AI interfaces

San Jose, CA26y exp
VariousIndiana University

UX/product designer with deep healthcare and mission-critical software experience across 3M Healthcare, GE Healthcare, and Motorola. Has designed complex lab automation and radiology workflows end-to-end, combining rigorous field research with hands-on engineering (HTML/CSS/TypeScript/React, Storybook) and even building live prototypes (Firebase + Angular) and production-ready UI control libraries to ship.

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SV

Senior DevOps & Site Reliability Engineer specializing in cloud reliability and observability

9y exp
Goldman SachsCalifornia State University, East Bay

Built and deployed a production AI/ML SRE copilot that uses RAG over real-time Splunk signals plus deployment/runbook data to generate grounded incident summaries and next steps, cutting time-to-contact by 30%. Treats the knowledge corpus like a production dataset (quality gates, semantic chunking, metadata enrichment) and runs golden-dataset automated evals to ensure reliability, while partnering closely with ops/support leaders through discovery sessions and metric-driven demos.

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SH

Junior Product Designer specializing in AI tooling and healthcare UX

Seattle, WA2y exp
University of WashingtonUniversity of Washington
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EB

Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD

Denver, CO6y exp
Insight EnterprisesCaltech
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SK

Mid-level AI & Machine Learning Engineer specializing in computer vision and MLOps

United States6y exp
NVIDIAUniversity of Massachusetts Lowell
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NA

Principal Systems Engineer specializing in digital health cloud platforms and UX

Los Angeles, CA10y exp
Heart & InkGeorgia Tech
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MP

Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms

San Jose, CA20y exp
XperiAnna University

Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.

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AG

Executive Technology & Product Leader specializing in AI/AR SaaS and cybersecurity

Los Angeles, CA30y exp
ZugaraLomonosov Moscow State University

Engineering/technology leader with mission-critical experience at JPL NASA on the Mars Curiosity Rover, delivering an AI-driven navigation system designed for zero tolerance for mistakes and reportedly operating with no failures for 15+ years. Also led a monolith-to-microservices, cloud-native migration that improved scalability by 300% and cut deployments from days to hours, and is comfortable switching between executive fundraising/stakeholder communication and deep technical leadership.

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SP

Sneha Patil

Screened

Mid-level Financial Analyst specializing in FP&A, forecasting, and regulatory reporting

New York, NY5y exp
JPMorgan ChaseUniversity of Texas at Arlington

Backend-focused software engineer (4+ years) across e-commerce, banking, and healthcare who owned mission-critical checkout/order management end-to-end and improved peak-traffic success rates via resiliency patterns (timeouts/retries/caching) and data-driven iteration. Also built and shipped real-time operational dashboards (React/TypeScript + Spring Boot) using WebSockets and event-stream integrations, with strong experience in Kafka/RabbitMQ-style messaging at scale.

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