Vetted Web Development Professionals

Pre-screened and vetted.

SP

Mid-level Software Engineer specializing in AI/ML and full-stack systems

Berkeley, CA5y exp
Berkeley AI ResearchUC Berkeley
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SJ

Junior Software Engineer specializing in cloud infrastructure and full-stack development

2y exp
OracleUniversity of Texas at Austin
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GB

Director-level Engineering Leader specializing in platform, data, and cloud systems

San Francisco, CA17y exp
SplunkNortheastern University
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BC

Executive Technology & Product Leader specializing in Video Games, Web3, and AI/ML

Remote, USA32y exp
Autonomous Global Industries, IncUniversity of Kansas
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JM

Senior Software Engineer specializing in front-end cloud and web platforms

Bellevue, WA8y exp
SnapUniversity of Alabama in Huntsville
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VB

Mid-level Full-Stack Developer specializing in FinTech SaaS

Remote, USA4y exp
PlaidUniversity of New Haven
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QY

Senior Program & Project Manager specializing in operations, supply chain, and enterprise technology

Los Angeles, CA12y exp
Humble BitPepperdine University
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GR

Executive Engineering Leader specializing in regulated healthcare SaaS and aerospace systems

Seattle, WA10y exp
MocingbirdFlorida Institute of Technology
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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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FS

Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation

Salt Lake City, UT13y exp
AlchemeeUC Santa Barbara
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MH

Senior Software Engineer specializing in full-stack web platforms, SEO, and microservices

14y exp
ChewyPenn State University
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PM

Senior XR Developer specializing in augmented reality for public safety

New York, NY8y exp
Tuesday LabsNYU
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MP

Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms

San Jose, CA20y exp
XperiAnna University

Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.

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CR

Mid-Level Software Engineer specializing in distributed systems and cloud-native platforms

Austin, TX5y exp
AMDNortheastern University

Backend/AI engineer who built and scaled an internal AMD semiconductor manufacturing microservice platform (SMR), reworking a synchronous lot-request workflow into an event-driven RabbitMQ/Celery/FastAPI pipeline. Diagnosed and fixed peak-load reliability issues using deep observability and Kubernetes autoscaling, cutting notification latency back to sub-second and reducing duplicates via idempotency/DLQs. Also shipped an LLM-powered natural-language search with schema-constrained JSON outputs and guardrails, plus a plan-execute-verify Jira bug-resolution agent that can propose fixes and raise PRs under restricted permissions.

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AS

Mid-level Technical Consultant specializing in Appian delivery and data/AI workflow automation

Mclean, VA5y exp
AppianUniversity of Illinois Urbana-Champaign

Appian consultant/engineer focused on insurance and financial services modernization and AI-enabled workflows. Built and productionized an AI-driven insurance submission intake system (email ingestion, classification/extraction, HITL review) cutting processing time from 2+ hours to under 10 minutes, and delivered semantic smart search with guardrails and UAT-driven ranking improvements. Also partnered with a global bank CTO org, running sessions with 200+ senior leaders to automate regulatory/board metric reporting via platform integrations and attestation.

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Thomas Majchrowski - Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration in Irvine, CA

Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration

Irvine, CA22y exp
Foundation AIUSC

Entrepreneurial builder who created a SaaS system for insurance sales and developed in-house sales/marketing platforms, prioritizing a robust backend that drove over $500k in immediate sales before expanding features. Emphasizes lean, high-impact execution with strong focus on optimization, barrier management, and contingency planning.

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Anand Madhusoodanan - Executive HR Tech & Salesforce Architect specializing in AI-driven recruiting automation in Bengaluru, India

Executive HR Tech & Salesforce Architect specializing in AI-driven recruiting automation

Bengaluru, India9y exp
Taylor RecruitGeorgia Tech

Co-founder of an HR tech startup who took an LLM-centered skill intelligence engine from prototype to production to deliver explainable, skill-based resume insights as an alternative to black-box ATS screening. Previously worked in consulting (Deloitte, Stand Up, Brilio), with experience in technical demos/workshops, pre-sales scoping, and supporting large deal cycles (including a ~$1M UK automotive client).

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Cornelius O'Donnell - Director-level Engineering & Program Leader specializing in AI product platforms in San Diego, CA

Director-level Engineering & Program Leader specializing in AI product platforms

San Diego, CA25y exp
Studentsidekiq.comUniversity of San Diego

Technical Program Manager and one of three internal "founders" of HP’s Hardware-as-a-Service home printer subscription initiative, spanning DTC shipping, simplified setup, ink replenishment, and warranty coverage. Led roadmap definition/execution, scaled delivery rapidly to 15+ scrum teams (including vendors) with SAFe-like coordination and shared engineering standards, and drove key architecture trade-offs (building an interim subscription management service) to accelerate time-to-market by about a year.

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Chitra Uppalapati - Entry-level Software Engineer specializing in full-stack and machine learning applications in Sunnyvale, CA

Entry-level Software Engineer specializing in full-stack and machine learning applications

Sunnyvale, CA1y exp
WalmartUniversity of Illinois Urbana-Champaign

Built production Python data integrations and dashboard automation for incident analytics, with a strong focus on data quality, observability, and reliability for leadership-facing reporting. Also translated an ambiguous manual creator evaluation process at startup Spring into an automated predictive scoring feature, showing a blend of backend data engineering, test automation, and cross-functional product thinking.

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SR

Mid-Level Software Engineer specializing in AWS cloud services and microservices

Seattle, Washington4y exp
AmazonArizona State University

Software engineer with primary experience in Java and Python who also troubleshoots and optimizes JavaScript/React performance issues. Has handled customer-reported production problems via log-driven diagnosis and backend workflow fixes, and took ownership of simplifying and automating a service region-expansion process through time analysis and process documentation.

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LL

Lisa Li

Screened

Director-level Engineering Leader specializing in SaaS, Cloud, and AI/ML delivery

Katy, Texas19y exp
Sainsbury'sThe Open University

Engineering leader who has led 100+ engineers at Sainsbury’s Tech and previously scaled an org from 6 to 60+ at AND Digital. Drove a high-impact modernization of a pricing/decisioning platform serving 1,700 stores—moving from batch monolith to real-time Kafka-based event-driven microservices with MLOps, IaC (Terraform), and zero-trust—delivering £18m+ annual profit uplift and 10+ deploys/day.

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RC

Richard Cerow

Screened

Director of Marketing Technologies specializing in scalable web platforms for gaming

El Segundo, CA19y exp
KraftonUniversity of Notre Dame

Player-coach engineering leader focused on consumer-grade video/multimodal products and high-reliability identity/auth experiences. Led design and implementation of multi-step mobile login/MFA flows with telemetry-driven funnel improvements, shipped Node services and security fixes, and owned auth incidents end-to-end using RUM and step-level instrumentation. Introduced feature-flagged delivery and targeted review/testing practices to speed iteration ~20–30% while keeping login stability high.

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