Vetted Data Visualization Professionals

Pre-screened and vetted.

RC

Junior Technical Product Manager specializing in SaaS, AI automation, and API integrations

Durham, North Carolina2y exp
Duke UniversityDuke University
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VP

Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps

Remote, USA4y exp
SpotifyUniversity of Bridgeport
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SC

Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps

TX5y exp
UberUniversity of Alabama at Birmingham
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VK

Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems

Denton, TX4y exp
SnowflakeUniversity of North Texas
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KK

Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications

Dallas, Texas4y exp
Capital OneUniversity of Texas at Dallas
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RX

Junior Business Intelligence Engineer specializing in experimentation and causal inference

Bellevue, WA1y exp
AmazonUniversity of Pittsburgh
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SW

Mid-level Data Scientist specializing in geospatial ML and NLP

Washington, DC6y exp
World BankGeorgetown University
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PV

Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines

USA, USA4y exp
UberAuburn University
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SP

Staff Salesforce Engineer specializing in enterprise CRM and integrations

New York, NY6y exp
CitadelUniversity of Central Missouri
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DH

Junior Software Engineer specializing in AI and FinTech operations

Chicago, IL1y exp
PwCRensselaer Polytechnic Institute
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AB

Director of Engineering specializing in AI/ML, data platforms, and consumer messaging

Mountain View, CA21y exp
YahooVisvesvaraya Technological University
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AG

Senior Cloud Solutions Architect specializing in AWS and SAP enterprise transformation

Redlands, CA24y exp
Southern California EdisonPark University
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JL

Executive product and engineering leader specializing in FinTech and healthcare technology

New York, NY18y exp
CoverRightJohns Hopkins University
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SU

Staff Software Engineer specializing in frontend platform architecture

San Mateo, CA16y exp
IPSY
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LX

Longyang Xu

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products

Quincy, MA1y exp
GraniteCarnegie Mellon University

Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.

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Mark Connolly - Director-level UX and design systems leader specializing in enterprise platforms in Remote, USA

Mark Connolly

Screened ReferencesStrong rec.

Director-level UX and design systems leader specializing in enterprise platforms

Remote, USA28y exp
Parasol ProjectsMassachusetts College of Art and Design

Frontend architecture leader with deep browser-platform expertise who led the UI for Fidelity's next-generation account optimization platform and built a framework-agnostic web component ecosystem before Fluent existed. Particularly strong in semantic component design, event-driven architecture, performance tuning at scale, and highly disciplined testing, with recent hands-on work in GIS/map-based visualization prototypes.

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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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Sreenaina Koujala - Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems in Ashburn, VA

Sreenaina Koujala

Screened ReferencesStrong rec.

Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems

Ashburn, VA8y exp
Zazvata Inc.George Mason University

Builder with experience across government contracting, engineering automation, and solo AI product development. They architected a serverless AWS pipeline that converted unstructured BIM data into IFC 3D models, built an enterprise internal-data chatbot with auditability and guardrails at Steampunk, and independently launched an AI study platform using Claude. Strong fit for early-stage or ambiguous environments where end-to-end ownership and practical AI systems matter.

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AR

Aaron Ross

Screened

Associate Creative Director / Art Director specializing in brand and 360 campaign design

NYC, NY9y exp
The MixxUniversity of Pennsylvania

Art director/marketing designer with agency experience spanning fintech and healthcare/pharma brands (Stackwell, Novo Nordisk/NovoCare, Zoetis). Builds scalable brand and Figma design systems for high-volume marketing output and produces paid-social/YouTube video creative in Premiere/After Effects, including AI-assisted storyboarding workflows.

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CC

Coleen Cohen

Screened

Director-level HR leader specializing in talent strategy, compliance, and change management

Malba, NY11y exp
SPC ConstructionCornell University

HR/People leader with experience managing distributed teams and driving major org initiatives, including implementing a data-driven pay equity compensation program presented to the CEO. Also built a multi-channel recruiting program (schools, affinity orgs, career fairs, marketing) aimed at increasing visibility and diversifying the candidate pipeline.

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Katie Mulryan - Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights in Plano, TX

Katie Mulryan

Screened

Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights

Plano, TX9y exp
JPMorgan ChaseUniversity of Texas at Dallas

Talent/Recruiting Operations analytics leader who has owned TA data/analytics, HR tech, onboarding, and HR product teams, managing globally distributed teams up to 13. Notably standardized hiring target-setting across 800+ recruiters using data-driven mathematical models, improving fairness and delivering a 20% headcount save. Experienced in major TA tech transitions (Avature to PhenomPeople) with ownership of data quality, reporting, KPI measurement, and workflow design.

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