Vetted Stakeholder Communication Professionals

Pre-screened and vetted.

MG

Marc Greenberg

Screened ReferencesStrong rec.

Executive Technology Leader (CTO) specializing in cloud architecture, distributed systems, and AI

Delray Beach, FL25y exp
Beyond Limited Thinking, LLCSyracuse University

Bootstrapped founder/fractional-CTO type building a community-first tooling platform and niche product lab, emphasizing trust and "family" culture. Operates extremely lean by self-hosting open-source LLM tooling locally and leverages a network of senior generalists willing to trade short-term compensation for learning and equity. Has worked across real estate tech, logistics, and hospitality POS and is applying a multi-modal "brain trails" concept to product opportunities.

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Sharon Harrison - Executive CMO specializing in SaaS GTM, brand, demand, and product marketing in Baltimore, MD

Sharon Harrison

Screened ReferencesStrong rec.

Executive CMO specializing in SaaS GTM, brand, demand, and product marketing

Baltimore, MD22y exp
ElevenX CapitalUniversity of Richmond

Operator with 20 years working alongside founders and 7 years in regulated SaaS, especially higher education/edtech. Currently serves as CMO across five ElevenX Capital portfolio companies and leads Campus Consortium Foundation's incubator efforts, bringing hands-on experience in AI go-to-market, venture formation, and building trust-first SaaS motions in compliance-heavy markets.

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Kris Wen - Mid-level Software Engineer specializing in AdTech and AI-enabled web engineering in San Francisco Bay Area, CA

Kris Wen

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in AdTech and AI-enabled web engineering

San Francisco Bay Area, CA4y exp
American ExpressCal State East Bay

Software engineer at American Express who built a zero-to-one first-party cookie tracking architecture as the industry moved away from third-party cookies, combining frontend, backend, CI/CD, and AI-assisted QA automation. Particularly strong in developer tooling and workflow automation, with measurable impact including 70% less manual QA, 8+ critical errors caught pre-production, and PR cycles reduced from 48 hours to under 8.

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VG

Mid-level Product Analyst specializing in product analytics and experimentation

Illinois, USA5y exp
CignaLewis University

Product analytics professional with 4+ years supporting enterprise and customer-facing products, operating as a close partner to product teams despite not holding a formal PM title. Brings strong SQL/BI-driven insight generation, KPI design, experimentation, and cross-functional alignment to help teams improve adoption, engagement, and launch decision-making.

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Viacheslav Bulba - Senior QA Automation Engineer specializing in UI/API test automation and CI/CD in Las Vegas, Nevada

Senior QA Automation Engineer specializing in UI/API test automation and CI/CD

Las Vegas, Nevada15y exp
Nu SkinTaganrog State University of Radio Engineering

QA professional with 15+ years testing a variety of applications (not games), experienced partnering with developers/designers/product owners across the feature lifecycle. Brings a disciplined, methodology-driven approach to test design, regression coverage, and high-quality defect reporting using tools like Jira, TestRail, qTest, and HPQC; targeting ~100K base (flexible based on total package).

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shelly tomar - Mid-level Founding Engineer specializing in agentic AI for healthcare in null

shelly tomar

Screened

Mid-level Founding Engineer specializing in agentic AI for healthcare

null4y exp
UnitedHealth GroupUniversity at Buffalo

Founding engineer at Grosha who built and operated the backend from scratch, helping scale the product to 65+ countries in a fast-moving startup environment. Also brings healthcare AI experience from United Health Group, where they built backend pipelines for ambient AI scribing using transcription APIs and LLM orchestration with custom validation layers for clinical reliability.

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SL

Mid-level AI/ML Engineer specializing in generative AI and MLOps

Remote, USA5y exp
MizuhoAuburn University at Montgomery
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PL

Pamela Labarta

Screened ReferencesModerate rec.

Director-level sales leader specializing in hospitality, events, and business development

Hanover, MD18y exp
Live! Casino & HotelAnne Arundel Community College

National sales leader with a rare mix of hospitality, venue, production, and district energy business development experience. She has led teams, built strategy and forecasting discipline, and delivered standout results including 138% of annual goal at Live!, top-seller performance at Vicinity Energy, and an 8-figure 30-year infrastructure deal involving city and state stakeholders.

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NP

Nency Patel

Screened ReferencesModerate rec.

Intern Backend Software Engineer specializing in AI and distributed systems

California, USA1y exp
BravenRutgers University

Built and owned an enterprise AI document-processing deployment at an automotive tech startup, taking it from discovery to stabilization. Strong in production LLM/RAG systems and backend reliability, with measurable impact including 8,000+ documents processed monthly and turnaround time reduced from nearly 24 hours to about 3 hours.

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Tiffany Utvaer Gasser - Mid-level Software Developer specializing in FinTech in Foster City, CA

Tiffany Utvaer Gasser

Screened ReferencesModerate rec.

Mid-level Software Developer specializing in FinTech

Foster City, CA4y exp
SpareBank 1 UtviklingNoroff School of Technology and Digital Media

Software engineer with experience in a large financial institution, including ownership of an internal queue-based service and upgrades to an online credit dispute flow. Stands out for combining backend reliability work, stakeholder collaboration with bank operations staff, and a pragmatic focus on validation, monitoring, and developer experience.

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KS

Kush Shah

Screened

Senior Frontend/Full-Stack Engineer specializing in scalable React/Next.js systems

Denver, CO7y exp
AmplifireTexas A&M University

Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.

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RD

Mid-level Data Science & AI Engineer specializing in LLMs and cloud ML platforms

Los Angeles, CA6y exp
UpHealthDePaul University

Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.

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MT

May Tar

Screened

Mid-level Growth Marketer specializing in GTM, funnels, and community-led partnerships

6y exp
UNITARParami University

Growth/partnerships operator in the creator ecosystem who runs creator-led GTM launches and brand collaborations (not yet a traditional gaming studio partnership). Has executed a baby wellness program launch using Facebook/TikTok/Instagram plus live Zoom Q&As and co-branded partnerships, and designed outcome-based email re-engagement loops to improve repeat engagement; helped drive a campaign that led to a SEA creator award.

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RR

Rajeev Reddy

Screened

Mid-level AI/ML Engineer specializing in NLP and production ML on cloud

4y exp
The HartfordFlorida Atlantic University

ML engineer/data scientist who deployed a production credit risk + insurance claims triage platform at Hartford Financial, combining XGBoost default prediction with BERT-based document classification. Demonstrated strong MLOps by cutting inference latency to sub-500ms and building drift monitoring plus automated retraining/deployment pipelines (MLflow, CloudWatch, GitHub Actions, SageMaker) with human-in-the-loop review and SHAP-based explainability for underwriting adoption.

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ZD

Senior Operations & Chief of Staff specializing in family office support, royalties, and real estate

Jersey City, NJ11y exp
Molecular Affinities CorpBoston University

Chief of Staff at Molecular Affinities and former Investor Relations & Operations manager at JCAM Investments, with hands-on experience supporting capital raising while simultaneously tightening operations (website, investor onboarding, back office). Strong operator who implements and drives adoption of systems like HubSpot, Asana, and Slack to improve executive productivity and team accountability.

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RF

Director of Engineering specializing in AI-enabled SaaS and mobile platforms

Minneapolis, MN19y exp
Capillary TechnologiesIowa State University

AI startup co-founder and CTO who helped raise $2.6M in seed funding at RedRex and drove product strategy from ideation through execution. Experienced with rapid experimentation and AI-driven prototyping to validate ideas quickly, and has direct exposure to the VC/accelerator ecosystem (Gener8tor) with a market-first approach to building and pitching startups.

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Ziyi Hu - Entry Correspondent Analyst specializing in mortgage capital allocation and portfolio risk analytics in Westlake, CA

Ziyi Hu

Screened

Entry Correspondent Analyst specializing in mortgage capital allocation and portfolio risk analytics

Westlake, CA2y exp
PennyMacUniversity of South Carolina

Mortgage/correspondent lending professional who supports sales and trading by using public origination datasets (NMLS ID, CoreLogic, Mortgage Metrix) to identify and qualify prospects, segment accounts by share-of-wallet and margin opportunity, and inform pricing strategy. Acts as a cross-functional connector—facilitating trade communications with clients and keeping account executives aligned with internal margin management changes.

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AR

Mid-level AI/ML Engineer specializing in Generative AI and MLOps

Kansas City, MO5y exp
NAICUniversity of Central Missouri

ML/AI engineer with hands-on ownership of fraud detection and investigator-assist systems, combining anomaly detection with RAG-based LLM summarization in production. Stands out for translating research ideas into reliable cloud-deployed workflows that improved precision to 92%, cut review time by 25-30%, and increased investigator throughput by roughly 30% while also building reusable Python infrastructure for team-wide velocity.

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HK

Intern Data Scientist specializing in robotics localization and SLAM

Lexington, KY1y exp
InfineonUniversity of New Haven

Robotics/embodied-AI practitioner who built a TurtleBot3 LiDAR-fingerprint localization pipeline end-to-end (autonomous data collection + multi-head NN) achieving ~30 cm error in a 10x10 m space. Also has industry experience at Infineon building large-scale production data/AI pipelines and rapidly fixing a deployed recommendation system by correcting upstream data normalization, improving accuracy by 20%+.

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CK

Mid-level Machine Learning Engineer specializing in LLMs, GenAI, and Computer Vision

Boston, MA3y exp
Camp4 TherapeuticsNortheastern University

LLM/agent engineer who built a production multi-agent research automation system using LangGraph (planner, retriever with FAISS, supervisor, evaluator) with structured outputs and citation tracking for traceable reports. Emphasizes reliability and operations—LangSmith-based observability, multi-level testing, hallucination mitigation, and latency/cost controls—plus prior experience as a Computer Vision Software Engineer at Deepsight AI Labs working directly with non-technical customers.

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AI

Anwer Iqbal

Screened

Senior Technical Support & Customer Success Engineer specializing in SaaS, solar, and medical devices

Tracy, CA29y exp
IronRidgeUniversity of Oklahoma

Customer-facing technical specialist with experience spanning regulated Class II/III medical devices (FDA compliance, firmware vulnerability escalation) and large-scale industrial/energy deployments. Known for rigorous troubleshooting using logs/network traces and tight documentation/escalation in Salesforce, plus repeatable onboarding and integration practices (API into CI/CD, secrets via env vars, container standardization).

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JA

Mid-level Technical Support Engineer specializing in backend troubleshooting and SQL/API diagnostics

4y exp
Limble CMMSGeorge Mason University

TSE with hands-on experience troubleshooting customer-reported data issues across APIs and SQL, coordinating with engineering on hotfixes, and translating risk to non-technical stakeholders. Has supported application security workflows using Veracode by generating reports, driving remediation via Jira, and tracking exposure metrics; also assisted customers with SSO setup (client ID/secret).

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AX

Mid-level Customer Success Manager specializing in influencer marketing and social commerce

Los Angeles, CA5y exp
SkeepersManhattan College

Beauty category/program manager with experience running end-to-end brand campaigns across subscription/assortment and eCommerce, including line planning, inventory pacing, and demand generation. Has negotiated directly with a global beauty conglomerate using pricing tests and scale-based proposals, sustaining the partnership through regular reporting/insights and helping drive onboarding of additional brands.

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Akshaya Mandha - Intern Procurement & Supply Chain professional specializing in logistics and ERP analytics in Charlotte, NC

Intern Procurement & Supply Chain professional specializing in logistics and ERP analytics

Charlotte, NC1y exp
FlexGenUniversity of North Carolina at Charlotte

Sourcing/procurement professional from FlexGen supporting end-to-end procurement for energy storage components, including RFQs, supplier selection, cost negotiation, and PO management in NetSuite. Experienced coordinating production/shipping with suppliers and logistics, conducting site visits to assess quality systems and capacity, and mitigating landed-cost risks tied to freight and duty.

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