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Vetted Cross-Functional Collaboration Professionals

Pre-screened and vetted.

SR

Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG systems

San Francisco, CA5y exp
Scale AIConcordia 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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RG

Executive Creative Director specializing in brand storytelling, broadcast design, and GenAI workflows

New York, NY22y exp
FreelanceARTS International
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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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TR

Executive Talent Acquisition Leader specializing in global GTM & G&A recruiting

Bangkok, Thailand16y exp
AgodaUniversity of Colorado Colorado Springs
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EI

Junior Technology Consultant specializing in Workday HCM integrations

New York, NY2y exp
PwCCarnegie Mellon University
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TW

Director of Paid Media & Digital Marketing specializing in performance, ABM, and healthcare

Greater Philadelphia Area20y exp
DSG, Inc.Johns Hopkins 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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MD

Senior QA Engineer specializing in AI/LLM, automation, and performance testing

Seattle, WA14y exp
AmazonVisvesvaraya National Institute of Technology, Nagpur
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VP

Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps

Mountain View, CA5y exp
MetaUniversity of North Carolina at Charlotte
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BC

Senior Enterprise Account Manager specializing in Customer Success for SaaS

San Francisco, CA12y exp
SalesforceUniversity of Michigan
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PR

Staff Networking Solutions Engineer specializing in hyperscaler Ethernet switching and HPC

Sunnyvale, CA23y exp
NVIDIA
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SI

Staff-level Software Engineer specializing in Unity game development and AI integration

London, UK9y exp
Meta
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EK

Erin Kelly

Screened ReferencesStrong rec.

Senior Talent Acquisition Leader specializing in global G&A, marketing, and product hiring

Remote12y exp
TripadvisorUNC Chapel Hill

Talent acquisition leader with experience managing a small recruiting team post-layoffs (1 direct, 3 dotted-line) and staying hands-on in executive search. Led a global expansion to hire 30 roles across the US, UK, and Singapore, and implemented a competency-based, standardized recruiting process for product managers that was validated in real-time and approved by the Chief Product Officer.

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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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VB

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp
Goldman SachsBrigham Young University

Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.

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AE

Ashish Ernest Jeldi

Screened ReferencesStrong rec.

Senior Data Scientist specializing in LLMs, agentic AI, and MLOps

Boston, MA6y exp
Dell TechnologiesNortheastern University

Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.

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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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AR

Ali Rezafard

Screened

Director of Engineering specializing in cybersecurity SaaS platforms and cloud-scale backend systems

San Francisco, CA14y exp
ProofpointUniversity of Waterloo

Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.

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YX

Yiteng Xu

Screened

Director of Lab Automation specializing in high-throughput assays and NGS workflows

South San Francisco, CA9y exp
Arsenal BiosciencesUC Berkeley

Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.

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