Vetted SQL Query Optimization Professionals

Pre-screened and vetted.

DM

Intern Full-Stack Developer specializing in React, Node.js, and TypeScript

San Francisco, CA1y exp
American Dog SocietySan Francisco State University
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SS

Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines

Prosper, TX5y exp
ACL DigitalTrine University
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PG

Mid-level Software Engineer specializing in full-stack web, UX, and AI-assisted products

Portland, OR4y exp
Transportation Research and Education Center, PSUPortland State University
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MI

Senior Full-Stack Developer specializing in React, Django, and cloud-native applications

Chicago, IL6y exp
Adifice TechnologiesIllinois Institute of Technology
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PK

Junior Java Full-Stack Developer specializing in healthcare web applications

Florence, SC1y exp
Cadre Health
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LK

Junior Full-Stack Engineer specializing in AI-powered web applications

Kansas, USA1y exp
Todaiyo.aiUniversity of Central Missouri

Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.

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VP

Mid-Level Frontend/Full-Stack Developer specializing in React and government & healthcare web apps

Remote4y exp
VosynGujarat Technological University
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PC

Mid-level Backend Python Engineer specializing in Django REST APIs

4y exp
FreelanceSwansea University
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SS

Mid-Level .NET Software Engineer specializing in backend APIs, Azure, and SQL Server

7y exp
Exito IncCampbellsville University
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SH

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

Irving, TX4y exp
Chicago Education Advocacy CooperativeSathyabama Institute of Science and Technology
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MJ

Junior Full-Stack Software Engineer specializing in scalable backend systems

Sunnyvale, CA3y exp
Nova Works CorporationCalifornia State University, San Bernardino

Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.

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Akash Parekh - Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment in Toronto, Canada

Akash Parekh

Screened

Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment

Toronto, Canada3y exp
WIMTACH, Centennial CollegeCentennial College

Frontend engineer with experience building enterprise ERP/CRM dashboards in React + TypeScript, including cron-driven data updates and differentiated state flows. Emphasizes CI/CD pipeline setup, performance optimization (Core Web Vitals, React Profiler), and disciplined delivery practices (risk-based QA, phased rollouts); also has Figma-to-responsive implementation experience.

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Bay Sukh - Mid-level Full-Stack Developer specializing in Java/Spring and modern web SPAs in Remote

Bay Sukh

Screened

Mid-level Full-Stack Developer specializing in Java/Spring and modern web SPAs

Remote6y exp
MBBC LLCUniversity of Fairfax

Full-stack Java/Spring Boot + SPA (Angular/React) engineer who has delivered products end-to-end, including a financial management portal for SMBs and a high-traffic golf/hotel reservation platform. Notably migrated a manually deployed system to AWS (EC2/RDS/S3/CloudFront) with Jenkins CI/CD and has hands-on React performance optimization experience for LG webOS TV apps.

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MM

Mid-level Full-Stack Web Developer specializing in React, Next.js, and Node.js

London, UK7y exp
VosynJahan University

Front-end engineer focused on sophisticated browser-based search and reading experiences, including AI-generated summaries and multi-state content interfaces. Demonstrates strong practical skill in React-style component architecture, Figma-accurate implementation, and deep browser/CSS debugging to make complex UIs polished, maintainable, and usable.

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SK

Entry-level Software Engineer specializing in backend, AI systems, and full-stack development

Seattle, WA1y exp
Seattle University FacilitiesSeattle University

Solo builder of two technically ambitious products: Ghosted, a full-stack job search platform for international candidates navigating H-1B sponsorship data, and ContextForge, a Claude Code marketplace plugin that gives coding agents persistent memory and targeted codebase retrieval. Particularly strong in AI agent infrastructure, retrieval reliability, and end-to-end product ownership, with a fast release cadence and a habit of turning real failure modes into shipped improvements.

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DT

Senior Full-Stack Software Engineer specializing in ERP and backend systems

Jakarta, Indonesia6y exp
Arkana Solusi Digital, PTSekolah Tinggi Teknologi Wastukancana

ERP-focused full-stack developer and consultant with hands-on Odoo customization experience across POS, frontend OWL UI, backend Python logic, reporting, and client integrations. Also builds modern TypeScript applications with React, NestJS, GraphQL, and PostgreSQL, giving them a blend of enterprise business systems experience and contemporary web-stack capability.

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JC

Janvi Chauhan

Screened

Mid-level Full-Stack Developer specializing in APIs and React

Moncton, Canada4y exp
JobeyzeConestoga College

Full-stack developer who has led end-to-end delivery of web applications using React/TypeScript with Node/Express and SQL databases. Notably modernized a legacy Java applet ERP system by redesigning it in React, iterating based on user feedback to balance new UX improvements with existing user workflows.

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SR

Sainath Reddy

Screened

Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React

Atlanta, Georgia4y exp
Altech Star SolutionsAuburn University at Montgomery

Full-stack engineer who built an end-to-end healthcare logistics application on a Microsoft services stack, delivering Spring Boot microservices and a responsive React frontend. Strong focus on production concerns—API performance tuning (indexing/caching/pagination) and microservice reliability (timeouts/retries/circuit breakers)—with Dockerized deployments and standardized Jenkins CI/CD.

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Divya Patel - Mid-Level Software Engineer specializing in .NET and CMS platforms in Fremont, CA

Divya Patel

Screened

Mid-Level Software Engineer specializing in .NET and CMS platforms

Fremont, CA6y exp
SymSoft SolutionsCalifornia State University, East Bay

Built and owned end-to-end systems for the Department of Water Resources and NAHC, including a debt infrastructure management system and a TypeScript/React + .NET 6 CMS. Strong in shipping quickly with quality (CI/CD, automated testing), optimizing SQL Server performance for large datasets, and implementing microservices-style async processing with reliability patterns (retries/idempotency/monitoring). Also delivered widely adopted internal workflow automation and reporting using Power Automate and Power BI.

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RK

Mid-level Software Engineer specializing in AI automation and backend systems

Dallas, TX4y exp
Phoenix Innovations LLCUniversity of the Cumberlands

Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.

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MK

Mid-level Quantitative Developer specializing in low-latency trading systems

Lahore, Pakistan5y exp
FreelanceUniversity of Roehampton

Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.

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