Vetted Material UI Professionals

Pre-screened and vetted.

BS

Senior Machine Learning Engineer specializing in computer vision and healthcare AI

Chicago, IL16y exp
ServiceNowNortheastern Illinois University
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DC

Mid-level Full-Stack Software Engineer specializing in healthcare and cloud systems

US7y exp
AmazonIllinois Institute of Technology
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SR

Mid-level Software Engineer specializing in distributed systems and full-stack web applications

Seattle, WA6y exp
AmazonUniversity of Alabama at Birmingham
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NV

Senior Full-Stack Developer specializing in Java microservices and cloud-native systems

Chicago, IL5y exp
AccentureUniversity of Texas at Dallas
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TM

Staff Software Engineer specializing in full-stack platforms and cloud-native microservices

Redding, CA11y exp
ProvidenceUC Berkeley
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SS

Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems

Seattle, WA6y exp
UberUniversity of Texas at Arlington
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ZJ

Senior Software Engineer specializing in Healthcare IT and cloud-native microservices

Wesley Chapel, FL11y exp
OptumGeorgia Tech
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SG

Mid-level Backend Engineer specializing in distributed systems and FinTech

USA6y exp
AmazonUniversity at Buffalo
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OA

Mid-level Full-Stack Engineer specializing in cloud-native FinTech systems

Dallas, TX3y exp
AmazonValparaiso University
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SC

Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows

USA6y exp
Kimber HealthStony Brook University
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BS

Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM

Cleveland, Ohio16y exp
ProcoreCleveland State University
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SK

Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications

6y exp
Fidelity InvestmentsUniversity of Texas at Dallas
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Sarath Dunga - Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration in Remote, USA

Sarath Dunga

Screened

Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration

Remote, USA4y exp
eBayArizona State University

Full-stack engineer (~3 years) with eBay production experience building and operating high-scale, event-driven Python microservices for order processing and AI-powered recommendations (Kafka/Redis/FastAPI on AWS with Prometheus/Grafana). Also delivered polished React+TypeScript analytics dashboards and designed high-concurrency PostgreSQL schemas with significant latency reductions. Recently built AI-agent orchestration and an interactive node-based requirements dashboard for Siemens Polarion via MCP servers, improving user interaction by ~17.8%+.

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Shruti Krishnagiri - Executive Engineering Leader & Technical Founder specializing in AI automation platforms in San Francisco Bay Area, California

Executive Engineering Leader & Technical Founder specializing in AI automation platforms

San Francisco Bay Area, California20y exp
BundledStanford University

Founder/CTO who built and shipped a consumer subscription-bundling platform end-to-end (architecture, implementation, testing) and scaled it to thousands of customers and major partners. Previously led a major reliability overhaul at Chan Zuckerberg Initiative for a Google-Docs-like ed-tech product—boosted observability, introduced incident management, and migrated to a Docker-based scalable architecture. Heavy user of AI tools (Cursor/Claude) for development, testing, and code review, with a strong bias toward lightweight, fast-moving execution.

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SL

S Latha Naidu

Screened

Mid-level Software Engineer specializing in AI-powered full-stack systems

Seattle, WA4y exp
AmazonUniversity of Colorado Denver

Backend-focused engineer with experience at AWS building a global alarm processing platform (Python, Lambda/SQS/DynamoDB) handling traffic spikes and reliability issues; resolved duplicate alerts and latency under load by fixing hot partitions and enforcing idempotency. Previously at Cognizant, built Java/PostgreSQL backend workflows for healthcare dashboards using pre-aggregated summary tables, strong SQL optimization, and state-driven job orchestration with ELK-based observability and production guardrails.

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TW

Tanny Wang

Screened

Mid-Level Software Engineer specializing in AI agents and Generative AI

San Diego, CA8y exp
ServiceNowUC San Diego

Backend engineer who built and evolved an internal multi-agent AI research platform (Electron + FastAPI) integrating OpenAI, focused on fast, reproducible experimentation with strong observability and run metadata for debugging. Has led incremental backend refactors with feature flags and parallel validation, and brings production-grade access control expertise from ServiceNow (table/field ACLs and row-level-style enforcement).

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JL

Justin Leung

Screened

Mid-Level Software Development Engineer specializing in interactive ad formats

New York, NY4y exp
AmazonSan José State University

Has experience improving an ad server workflow by standardizing genre selection with templates, enabling reuse across multiple accounts and measuring success via hours of manual labor saved. Also delivered an internal technical demo on a device-metrics-to-AWS-CloudWatch logging workflow using whiteboarding and PowerPoint to onboard a new team.

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SK

Mid-level UI/UX Designer specializing in data-driven, accessible enterprise product design

Chicago, IL4y exp
JPMorgan ChaseIllinois Institute of Technology

Product/UX designer with hands-on experience designing AI-driven products end-to-end, including an AI shopping assistant (Stylaire) with multimodal conversational search (text/voice/image). Uses rapid prototyping and usability testing to simplify complex flows (e.g., reducing filter overload via progressive disclosure) and collaborates closely with engineers with working knowledge of HTML/CSS and component systems.

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