Vetted GraphQL Professionals

Pre-screened and vetted.

AA

Junior Software Engineer specializing in ML inference infrastructure

California, USA2y exp
California State University, ChicoCalifornia State University, Chico
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HK

Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems

Seattle, WA3y exp
Before You SolutionsUniversity of Dayton
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DK

Junior Full-Stack Software Engineer specializing in cloud, distributed systems, and AI

Fairfax, VA2y exp
George Mason UniversityGeorge Mason University
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SD

Junior Software Engineer specializing in full-stack web development and machine learning

Kathmandu, Nepal3y exp
Truenary SolutionsTexas Tech University
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HI

Senior Full-Stack Developer specializing in scalable web applications

Lahore, Pakistan7y exp
OptevoCOMSATS University Islamabad
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QQ

Entry-Level Full-Stack Software Engineer specializing in AI-driven web applications

Plano, TX
Yangzhou University
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TA

Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines

United States8y exp
DataStream
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MT

Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms

Oakland, California8y exp
Wana Technologies
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HA

Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications

Virginia, United States9y exp
Futuristic Labs
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AR

Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications

United States7y exp
Futuristic Labs
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IS

Senior Full-Stack Engineer specializing in scalable web applications

Dallas, TX8y exp
Goals and Gambles
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EI

Senior Python Full-Stack Engineer specializing in cloud-native scalable systems

Dover, Delaware8y exp
Verstela
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MK

Senior Software Engineer specializing in AI/ML systems

Stafford, VA7y exp
Intellirent
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AZ

Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps

Dumfries, Virginia8y exp
Blended Sense
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RB

Mid-level UX Engineer specializing in design systems and frontend architecture

Ann Arbor, MI2y exp
Borough
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AM

Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features

Springfield, VA10y exp
Mabrook
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GN

Senior Frontend/Full-Stack Developer specializing in FinTech and high-performance web apps

10y exp
WealthCopilot
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SR

Senior Full-Stack Developer specializing in Python/Django and cloud-native web apps

Virginia, US8y exp
Lunavi
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TS

Tirth Shah

Screened

Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems

Chico, CA4y exp
Chico State EnterprisesCalifornia State University, Chico

Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.

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SJ

Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation

San Jose, CA4y exp
San José State UniversitySan José State University

Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.

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JS

Jatin Soni

Screened

Mid-level Software Engineer specializing in Generative AI and scalable backend systems

Corona, CA3y exp
WellomyTechCalifornia State University, Los Angeles

Backend/AI engineer with production experience in legal tech: built a high-scale licensing/subscription API (FastAPI/Postgres/Stripe) and shipped a RAG-based chatbot for an eDiscovery platform. Designed a robust legal document ingestion workflow that processes thousands of documents into a searchable vector index with clear retry/escalation logic, and has demonstrated measurable Postgres performance wins (200ms to 10ms) using EXPLAIN ANALYZE and composite indexing.

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