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Vetted Structured Logging Professionals

Pre-screened and vetted.

HZ

Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud

Shanghai, China5y exp
Shanghai Oriental Maritime Affairs Engineering TechnologyMaharishi International University
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AD

Junior Full-Stack Software Engineer specializing in web apps, cloud, and ML inference

Charlotte, NC2y exp
AksharaPlusUniversity of North Carolina at Charlotte
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DK

Mid-level Python Backend Engineer specializing in microservices and AWS

NYC, New York3y exp
Community Dreams FoundationPace University
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AH

Austin Hall

Screened

Entry-Level Full-Stack Software Engineer specializing in web applications and APIs

Irvine, CA1y exp
Zof AIApp Academy

Backend engineer who built and evolved ConGreG8 end-to-end: a stateless Node/Express REST API on MongoDB for fast, location-based church discovery. Demonstrates strong performance and operability discipline (instrumentation, p95 latency, slow-query analysis) with a reported ~30% response-time improvement, plus security depth via JWT/OAuth and Supabase-style row-level security. Experienced in safe refactors with contract preservation, dual-read validation, and incremental rollouts.

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MM

Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs

Milpitas, CA0y exp
California State University, ChicoCalifornia State University, Chico

Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.

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MH

Minh Huynh

Screened

Junior AI/ML Engineer specializing in LLM systems and personalization

Anaheim, California2y exp
Reach BrandsCity University of Seattle

Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.

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RR

Rutvi Rathod

Screened

Junior Full-Stack Software Engineer specializing in AI and web applications

San Jose, CA1y exp
FreelanceChhotubhai Gopalbhai Patel Institute of Technology

LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.

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MR

Intern Full-Stack Software Engineer specializing in AI-powered RAG systems

Lebanon0y exp
CodVedaLebanese University

Built FlowPilot, an AI-powered product that generates complete importable n8n workflows from natural-language prompts using a RAG pipeline (Qdrant + LangChain) and a multi-stage agent with a scoring/repair 'Judge' loop for intent alignment. Experienced in backend architecture across Laravel/Node microservices and production AI/RAG systems, plus performance debugging from async job offloading to database index tuning after ORM migrations.

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