Vetted jQuery Professionals

Pre-screened and vetted.

ZY

Zhaoyue Yang

Screened ReferencesModerate rec.

Junior Full-Stack Application Developer specializing in internal web portals

Toronto, Canada3y exp
Great GulfUniversity of Toronto Scarborough

Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.

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KS

Krusha Shah

Screened

Mid-level Infrastructure/DevOps Engineer specializing in GCP, Terraform, Kubernetes and CI/CD

4y exp
TCSUniversity of Texas at Arlington

DevOps/GCP-focused engineer with experience helping move complex/LLM-style prototypes toward production by clarifying requirements, hardening architecture, and driving OS-level test remediation to full pass rates. Debugs LLM/agentic workflow issues like distributed systems using GCP observability (Cloud Logging/Monitoring, GKE metrics) and implements alerting policies for proactive communication. Has delivered internal DevOps training from basics through end-to-end GCP infrastructure and deployment, improving engagement with real-world examples and analogies.

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SS

Mid-level Software Engineer specializing in full-stack and machine learning

Delray Beach, FL4y exp
OptumFlorida Atlantic University

Built a production AI-powered customer support Q&A system using an internal knowledge base to reduce repetitive ticket work and improve customer satisfaction, with an emphasis on source-backed answers and expert oversight. Also has experience defining deployment services in a microservices architecture and integrating large-scale APIs (including work connected to US HHS/COVID-19).

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AA

Senior Machine Learning Engineer specializing in NLP, computer vision, and edge AI

Omaha, NE13y exp
AutogratorUniversity of Nebraska-Lincoln

AI/LLM engineer who built a production RAG-based Text2SQL engine using Qdrant, including creating the underlying business/DB documentation, generating a test dataset, and designing detailed SQL-quality metrics for validation. Also partnered with non-technical stakeholders on a speech recognition project to prioritize medical terminology, improving accuracy through targeted corpora, lookup-table correction, and fine-tuning with a modified loss function.

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UP

Ugender Peddi

Screened

Mid-level Full-Stack Developer specializing in healthcare cloud applications

USA4y exp
HCA HealthcareMissouri University of Science and Technology

Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.

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OC

Mid-level Full-Stack Developer specializing in Python/Java and cloud-native web apps

Texas, USA4y exp
BNY MellonUniversity of North Texas

Robotics-focused full-stack engineer with hands-on ROS experience building sensor-processing and control nodes, plus a track record of debugging and optimizing real-time robot responsiveness via profiling and message-timing analysis. Uses Webots for pre-hardware validation and Docker/CI/CD to standardize deployments and catch issues early.

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RD

Mid-Level Software Development Engineer specializing in Java microservices and cloud DevOps

United States5y exp
AllstateCalifornia State University, Fullerton

Graduate project contributor/maintainer in the open-source JavaScript ecosystem who built “Intersect,” a blockchain-based certification verification platform. Developed a front-end component library integrating QR generation/scanning and Ethereum smart contract interactions, and improved real-world QR scan reliability across devices via custom image preprocessing and performance profiling-driven React optimizations.

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MA

Senior Full-Stack .NET Developer specializing in Angular/React and cloud (Azure/AWS)

Dallas, TX9y exp
CVS HealthSt. Peter's Engineering College

Gameplay engineer with hands-on ownership of real-time C++/UE5 systems, including an end-to-end ability system and a networked dash feature using client prediction and server reconciliation. Strong in performance profiling/optimization (object pooling, collision-check gating) and applied math for projectile motion validated via debug visualization and QA/playtesting; particularly interested in soccer/football gameplay mechanics and feel.

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Ajay Rajakumar - Mid-level Full-Stack Developer specializing in Angular, Java, and MERN in Chennai, India

Mid-level Full-Stack Developer specializing in Angular, Java, and MERN

Chennai, India4y exp
TCSUniversity of Windsor

Full-stack developer with 4 years of experience and an MS in Computer Science who led frontend delivery for a large airline platform (booking, check-in, and payment flows) using Angular/TypeScript with a Java backend. Emphasizes quality at scale via SonarQube monitoring, E2E/regression testing, and iterative Agile collaboration with clients using Figma.

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Mohana pavan Vankayala - Mid-level Java Full-Stack Developer specializing in microservices and AWS in Overland Park, KS

Mid-level Java Full-Stack Developer specializing in microservices and AWS

Overland Park, KS4y exp
HCLTechUniversity of Central Missouri

Full-stack engineer (HCL Tech) with 4 years building enterprise, high-throughput microservices on AWS/Azure using Java/Spring Boot and React. Demonstrated measurable performance gains (40% throughput) through Redis caching, deep SQL/query tuning, and Kafka-based async refactors, plus strong DevOps/observability practices with Jenkins/CloudFormation and Datadog/Splunk.

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Scott Knight - Director-level software engineering leader specializing in SaaS and Healthcare IT in Portland, OR

Scott Knight

Screened

Director-level software engineering leader specializing in SaaS and Healthcare IT

Portland, OR23y exp
Alatus Solutions LLCUniversity of New Hampshire

Candidate is exploring startup ideas focused on SaaS tools for small and medium-sized businesses, especially IT and HR automation. They have prior experience in VC-backed companies and with accelerators, and stand out for emphasizing real customer feedback and prototyping over echo-chamber startup advice.

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JC

Joshua Curry

Screened

Senior Full-Stack Engineer specializing in web, mobile, and accessible frontend systems

San Francisco, CA17y exp
Berliner VerlagSavannah College of Art and Design

Full-stack developer who has built and shipped both traditional web products and AI-powered applications, including a Spotify playlist-combining app, a recruiter-facing RAG chatbot embedded in a portfolio, and a fine-tuned GPT-2 art review generator. Stands out for combining privacy-conscious engineering, practical LLM guardrails, and scrappy production problem-solving—from queue-based inference systems to newsroom digital transformation with multi-tenant WordPress.

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SN

Senior Python Developer specializing in FastAPI, Django, and cloud-native web applications

Reno, NV8y exp
Plumas BankJawaharlal Nehru Technological University

Backend engineer working on Plumas Bank’s digital modernization, building a FastAPI-based loan origination/processing system with OAuth2/JWT security, AWS Lambda-driven PDF document generation to S3, and MongoDB integration. Has led a legacy workflow migration to a new microservice using dual-write/dual-read and monitoring, and emphasizes multi-tenant isolation via layered API controls plus row-level security.

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RR

Mid-level Full-Stack Java Engineer specializing in banking microservices and AI backends

St. Louis, MO4y exp
PNCSaint Louis University

Backend-focused software engineer building distributed, event-driven Java/Spring Boot microservices with Kafka for low-latency, high-frequency processing. Has hands-on experience modernizing a legacy Java system into containerized microservices deployed on Kubernetes with GitHub Actions CI/CD, and has integrated retrieval-based AI components into production workflows; no ROS/robot hardware experience yet.

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DS

David Sigal

Screened

Executive-level Software Engineering Leader specializing in Healthcare AI

Los Angeles, CA15y exp
Phoenix AIUC Santa Barbara

Backend engineer who has built end-to-end data and platform systems across domains: a Scala/Java media data warehouse with a custom query language and Elasticsearch search, plus production security patterns (RBAC, RLS, audit trails) including a telehealth platform. Also demonstrated strong operational rigor by using feature-flagged side-by-side migrations and by catching ecommerce checkout edge cases that were dropping revenue.

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AR

Senior Full-Stack Software Engineer specializing in Healthcare IT integrations

Milpitas, CA7y exp
WellSkyNortheastern University

JavaScript engineer and open-source contributor focused on runtime performance, reliability, and developer experience—refactored a widely used client-side API/state library to improve concurrent request handling, error consistency, and UI performance while adding tests and documentation. Also owned improvements to a core microservice at Velsa integrating multiple hospital systems, bringing structure to ambiguous priorities and delivering stability and performance gains from design through deployment.

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SK

Shashi Kiran

Screened

Mid-level Full-Stack .NET Developer specializing in Azure, APIs, and Angular SPAs

Charlotte, NC4y exp
TruistWestern Illinois University

Frontend-focused engineer with enterprise Angular experience integrated with .NET APIs, emphasizing production-ready practices (reusable components, modular architecture, TypeScript standards, Jasmine unit tests, and CI/CD). Has not built Unreal Engine UI systems yet, but articulates how they would translate web UI modularity, separation of concerns, and testing/automation practices to Unreal/CommonUI workflows.

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Manasa Pippera - Senior .NET Full-Stack Developer specializing in cloud, IoT messaging, and real-time web apps in Franklin, TN

Senior .NET Full-Stack Developer specializing in cloud, IoT messaging, and real-time web apps

Franklin, TN6y exp
Acadia HealthcareTrine University

Full-stack engineer who owns customer-facing web products end-to-end (React/TypeScript + Node.js), shipping frequent releases with strong testing, staged deploys, and production monitoring. Improved a key user flow by batching backend calls and simplifying frontend rendering, driving ~30% faster load times and ~30% higher completion rates. Also built an ops monitoring dashboard using ELK + Prometheus/Grafana that cut incident response time by 40% and has hands-on microservices messaging experience (RabbitMQ/Kafka, idempotency, DLQs).

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Ron Lei - Junior QA Automation Engineer specializing in Playwright E2E and API testing in San Francisco, CA

Ron Lei

Screened

Junior QA Automation Engineer specializing in Playwright E2E and API testing

San Francisco, CA3y exp
Checksum AIUC Santa Cruz

QA automation-focused engineer who hardens production CI/CD by integrating and stabilizing end-to-end automated tests (tackling async UI flakiness, resilient assertions/selectors, and controlled test data). Demonstrates strong cross-layer troubleshooting by correlating logs and system metrics to resolve intermittent service reachability, then adding monitoring/alerts and documentation. Also partners directly with operators to improve real-world workflows by enhancing validation logic and error messaging.

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Visaj Kapadia - Mid-Level Full-Stack Developer specializing in AWS and scalable web platforms in Santa Monica, CA

Visaj Kapadia

Screened

Mid-Level Full-Stack Developer specializing in AWS and scalable web platforms

Santa Monica, CA5y exp
Just Slide MediaCalifornia State University

Software engineer with hands-on AWS experience optimizing an email campaign delivery system—re-architected a monolithic worker into multi-threaded/multi-worker ECS components to boost throughput ~600% (5 to 35 emails/sec). Comfortable debugging production issues (e.g., SQS/EventBridge policy misconfiguration) and emphasizes maintainable delivery via design docs, TDD, versioned APIs, and strong test coverage.

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SF

Shawn Faber

Screened

Executive Engineering Leader specializing in enterprise SaaS, AI/ML, and cloud modernization

Charlotte, NC28y exp
Rhythm SystemsUniversity of Wisconsin–Stevens Point

Commercially minded candidate with exposure to private equity firms as sales targets and experience building partnerships around venture-backed company ecosystems. They appear more inclined to join an existing company than found one, bringing a metrics-driven, process-oriented approach and creative execution style with a strong focus on clear growth paths and capital stability.

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Nidhip Patel - Mid-level Software Engineer specializing in AI/ML and full-stack development in United States

Nidhip Patel

Screened

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

United States3y exp
UnumWebster University

Backend Java engineer with strong platform/DevOps experience: modernized an insurance claims legacy monolith into DDD-aligned microservices, deployed containerized services on Kubernetes with Jenkins CI/CD and static analysis gates, and implemented GitOps using ArgoCD. Also led major AWS migration planning with dependency mapping and network monitoring to uncover hidden dependencies, and built Kafka-based real-time event streaming with schema-registry-driven evolution.

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Dinesh Guguloth - Mid-level Software Engineer specializing in full-stack cloud-native applications in New York, NY

Mid-level Software Engineer specializing in full-stack cloud-native applications

New York, NY4y exp
AccentureCleveland State University

Full-stack engineer with cloud and GenAI experience who has owned production features end-to-end, including a reporting dashboard optimized from 14s to 5s using query/API refactoring and monitored via AWS CloudWatch. Also productionized an OpenAI-powered chatbot using LangChain with prompt design, guardrails, and evaluation via production logs and user feedback, and has led incremental legacy-to-microservices modernization with parallel run to avoid regressions.

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