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Vetted Communication Professionals

Pre-screened and vetted.

EJ

Senior Software Engineer specializing in Python backend services and APIs

Olympia, WA10y exp
MetaUniversity of Dallas
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TL

Senior Full-Stack Engineer specializing in real-time collaboration SaaS

Bellevue, WA10y exp
LinearSyracuse University
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SK

Executive Technology & Finance Leader specializing in digital transformation and governance

New York, NY30y exp
Wells FargoPace University
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BM

Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps

San Francisco, CA6y exp
Scale AISaint Louis University
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KT

Executive Corporate Real Estate & Workplace Leader in Financial Services

New York, NY14y exp
Global AtlanticNYU
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VT

Senior QA & Localization Professional specializing in mobile apps and conversational AI

Cupertino, CA12y exp
AppleLincoln University (California)
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AC

Executive Shipping & Logistics Leader specializing in international trade and revenue growth

Norfolk, VA19y exp
CMA CGMFlorida International University
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NS

Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference

New York city, NY4y exp
PerplexityCleveland State University
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RW

Ryan Werffeli

Screened ReferencesStrong rec.

Executive COO specializing in private equity transaction advisory and ESG value creation

New York, NY10y exp
Malk PartnersNorthwestern University

COO at Malk Partners who led a ~75-person org and managed a 6-month sell-side diligence process while still delivering growth targets. Known for building executive alignment and accountability through clear KPIs, strong 1:1 operating rhythms (including N-2s), and board-level strategy projects, and for scaling planning processes by pushing AOP ownership to business unit leaders with templates and coaching.

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KM

Kowshika M

Screened

Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety

Santa Clara, CA5y exp
NVIDIAOregon State University

AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.

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LG

Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML

Bellaire, OH8y exp
AmazonOhio University
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KK

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

Dallas, TX6y exp
GoogleUniversity of North Texas
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BC

Director-level Software Engineering Leader specializing in cloud platforms and large-scale systems

Arizona, US19y exp
AmazonYoungstown State University
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HP

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems

Santa Clara, CA4y exp
NVIDIAConcordia University Wisconsin
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RW

Director-level Talent Acquisition Manager specializing in technical recruiting and emerging careers

Dallas, Texas12y exp
YahooDelta State University
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TK

Senior Performance Marketing Manager specializing in paid media and growth

Culver City, CA9y exp
AppleUC San Diego
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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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MC

Masoom Chaudhary

Screened ReferencesStrong rec.

Executive-level Chief of Staff leader specializing in cybersecurity and national security operations

Washington, DC14y exp
U.S. Department of Homeland SecurityAmerican University

Senior chief-of-staff–type operator with 13 years in government, leading agency-wide implementation of presidential executive orders and large-scale internal policy rewrites via cross-functional working groups (HR/CIO/CFO/legal/facilities). Deep experience boosting executive productivity through structured prep systems (Outlook/OneNote, templates, SME tasking) and trusted handling of sensitive matters with a Top Secret clearance, including executive safety-related confidentiality.

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GV

George Villacis

Screened ReferencesStrong rec.

Mid-level Business Development Manager specializing in financial data for VC/PE

New York, NY6y exp
PitchBookUniversity of Virginia

Sales/business professional from PitchBook who managed a high-volume pipeline (50–100 opportunities) and drove hundreds of thousands in new business while simultaneously leading cross-functional initiatives, including a product/data dataset implementation and ERG (La Cultura) campaigns. Strong in executive alignment, operational tooling (Salesforce/Asana/Excel), and handling sensitive information with discretion.

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SH

Scott Heck

Screened ReferencesStrong rec.

Executive Security Leader specializing in global risk, aviation security, and crisis management

11y exp
UPSBarrington University

Operations and transformation leader who ran UPS Security through a major McKinsey-led restructuring, implementing a shared-services/territory-based "Patch of Land" model. Built task/time-based staffing models that enabled a 1K+ headcount reduction and $70M+ in recurring savings, earning the first UPS CEO Change Maker Award. Also mentors emerging leaders with simple, scalable operating rhythms (cadence meetings, decision frameworks, goal tracking).

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YP

YAKKALI PAVAN

Screened

Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems

USA6y exp
JPMorgan ChaseUniversity of Houston

Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.

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PK

Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps

San Francisco, CA5y exp
PerplexityConcordia University Wisconsin
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