Vetted Stakeholder Communication Professionals

Pre-screened and vetted.

GG

Mid-Level Software Developer specializing in FinTech and AI-enabled systems

Conroe, TX5y exp
McKinsey & CompanyBinghamton University
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ML

Mid-level Fuel Cell Engineer specializing in hydrogen systems and AI automation

Los Angeles, CA4y exp
ToyotaTexas A&M University
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RA

Mid-level AI/ML Engineer specializing in NLP/LLMs and computer vision

USA5y exp
TempusUniversity of North Texas
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SM

Mid-level Graphic Designer specializing in brand, presentation, and digital production design

San Francisco, CA6y exp
Spectrum BrandsAcademy of Art University
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TG

Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building

San Francisco, CA5y exp
AI ScholarsUniversity of Waterloo
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PB

Senior Data Scientist specializing in Generative AI, NLP, and MLOps

San Bruno, CA10y exp
WalmartPurdue University
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PC

Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems

Virginia, USA6y exp
DoorDashWashington University of Virginia
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CI

Senior Scrum Master and Agile Project Leader specializing in enterprise transformation

USA16y exp
MetLifeUniversity of Jos
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SM

Salaama Milligan

Screened ReferencesStrong rec.

Executive Operations & Program Management Leader specializing in global transformation

Elizabeth, NJ25y exp
IPG MediabrandsKean University

Operations/PMO leader across IPG Mediabrands, Kinesso, and IPG Corporate with deep experience building executive governance systems and cross-functional operating rhythms. Led high-visibility transformations including a $36M global rebrand and created data-backed dashboards/cadences that improved efficiency (10–20%) and executive alignment, including oversight of a 175M monthly media spend analysis.

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JK

Jeffrey Kim

Screened ReferencesStrong rec.

Mid-level FP&A and restructuring finance professional specializing in liquidity and forecasting

Los Angeles, CA3y exp
Forgent Power SolutionsClaremont McKenna College

Restructuring and deal-origination professional with FTI experience who applies distressed-investing rigor to founder sourcing and early-stage evaluation. Stands out for turning signal-based outbound into real opportunities, including sourcing and nurturing the Spirit Airlines relationship over roughly two years into one of the firm's largest bankruptcy engagements, while also bringing venture studio exposure to early consumer concept testing.

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Khaliun Gerel - Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms in New York, NY

Khaliun Gerel

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms

New York, NY7y exp
GertechColumbia University

Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.

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Osaze Edo-Osagie - Senior Frontend/Full-Stack Engineer specializing in React and TypeScript in New York, USA

Osaze Edo-Osagie

Screened ReferencesStrong rec.

Senior Frontend/Full-Stack Engineer specializing in React and TypeScript

New York, USA7y exp
MeltwaterUniversity of Nottingham

Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.

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TL

Tesia Lo

Screened ReferencesStrong rec.

Senior Program Manager specializing in SaaS, e-commerce, and AR/3D delivery

San Francisco, CA8y exp
BoltUSC

Implementation leader with 7 years of experience delivering enterprise B2B/SaaS rollouts across dental healthcare, AR commerce, restaurant management, and fintech-related environments. Has managed everything from small multi-week deployments to 450+ location enterprise implementations, including high-visibility alpha launches at Snap where executive communication, governance, and cross-functional coordination were critical.

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Bradley Govender - Executive data and AI leader specializing in enterprise analytics transformation in Land O' Lakes, FL

Bradley Govender

Screened ReferencesStrong rec.

Executive data and AI leader specializing in enterprise analytics transformation

Land O' Lakes, FL11y exp
FreelanceUniversity of Phoenix

Product/data/analytics transformation leader with 6+ years driving large-scale modernization across media, healthcare, financial services, and consumer digital products. Notably led a challenging customer analytics transformation at Paramount Streaming and has hands-on experience prototyping LLM-powered analytics workflows while emphasizing governance, semantic layers, and human-in-the-loop deployment.

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ES

Elisabeth Silkworth

Screened ReferencesStrong rec.

Director-level Product Leader specializing in FinTech, marketplaces, and digital platforms

Remote, USA12y exp
SoundExchangeMonmouth University

Product leader with a strong blend of AI/ML product strategy, UX optimization, and design org building. They drove a matching product enhancement that increased daily matches from 2,400 to 7,800, and separately improved Amex onboarding conversion from 67% to 92% through targeted user research and copy changes. They also turned a vulnerable design team into an integral cross-functional capability by hiring talent and operationalizing design support across product teams.

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JD

Joseph Diele

Screened ReferencesStrong rec.

Executive Quality & Operations Leader specializing in transformational change and continuous improvement

Denver, CO25y exp
Priest-Zimmerman, Inc.Regis University

Operations-focused startup builder who creates “enterprise-ready” maturity through reliability testing systems, data collection, and customer-facing quarterly reviews. Has a process-first approach (document → automate → scale), including automating manufacturing testing and moving it to a contract manufacturer. Experienced mentoring founders/executives using GQM and improving leadership effectiveness through targeted coaching and role redesign.

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YS

Yoga Sathyanarayanan

Screened ReferencesStrong rec.

Junior Software Engineer specializing in backend, distributed systems, and AI infrastructure

New York, NY3y exp
NYU Stern School of BusinessNYU

Full-stack engineer with hands-on experience spanning real-time AI products, large-scale payments migration, internal research infrastructure, and open-source ML tooling. Particularly compelling is the mix of low-latency React/Node/TypeScript systems work, zero-downtime migration of 50,000 accounts across 12 regions, and proactive contributions to Kubeflow build and security reliability.

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Kathy Gagne - Executive Leadership Advisor specializing in organizational design, culture transformation, and board coaching in East Greenwich, RI

Kathy Gagne

Screened ReferencesStrong rec.

Executive Leadership Advisor specializing in organizational design, culture transformation, and board coaching

East Greenwich, RI37y exp
Carciofo Partners

Operations and organizational effectiveness advisor who builds scalable playbooks and maturity-based operating frameworks for growing organizations, including investment portfolio companies. Has led change and regulatory adoption work in a large financial institution and coached a rapidly scaling fintech founder/exec team to improve trust, delegation, and decision-making.

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VB

Intern AI/ML Engineer specializing in LLM applications and data infrastructure

Redmond, Washington, USA3y exp
UberUniversity of Memphis

Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.

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JC

Jenny Cheng

Screened

Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment

Remote, USA1y exp
MetaUC Irvine

Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.

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JK

Jasveen Kaur

Screened

Senior Technical Program Manager specializing in AI automation and analytics

Santa Clara, CA6y exp
IntelSan José State University

Recruiting/Talent Operations leader with deep Lever ATS and analytics experience who led a high-impact Grace Hopper Conference program, creating attribution tracking via unique links and coordinating IT/engineering/TA to drive thousands of applicants and improved operational outcomes. Redesigned recruiter–hiring manager intake and alignment workflows with automation, improving time-to-fill by ~20%, and led compliance initiatives including pay transparency and ADA-accessible job descriptions using CommonLook/PAC in partnership with Legal and Compensation.

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VV

vishal varma

Screened

Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps

6y exp
CVS HealthUniversity of Bridgeport

Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.

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