Pre-screened and vetted.
Mid-Level Backend Software Engineer specializing in Java/Spring Boot on AWS
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level Full-Stack Software Engineer specializing in web apps, cloud, and UI/UX
Entry-level Software Engineer specializing in backend and AI integration
“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”
Mid-Level Software Engineer specializing in .NET and CMS platforms
“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.”
Junior Backend Software Engineer specializing in Java Spring Boot and PHP Laravel
“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”
Mid-level Python Backend Developer specializing in ERP (Odoo) integrations and APIs
“Backend ERP developer specializing in Odoo (Python MVC) with hands-on experience integrating ERP workflows with external SQL databases and handling cloud deployment compatibility issues. Led a migration of ~40 years of legacy data into a modern ERP using scripted transforms and unique identifiers to preserve data integrity, and has experience implementing role-based permissions and preventing failure modes in SQL status update flows.”
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Junior Data Analyst specializing in business intelligence and Salesforce data systems
Junior Full-Stack Developer specializing in React, TypeScript, and Spring Boot
Intern Data Science and Web Development student specializing in machine learning
Mid-level Full-Stack Developer specializing in modern web apps and real-time dashboards
“Full-stack developer who built and shipped Asrify.com (a combined Jira + Hubstaff-style app) end-to-end using PostgreSQL/Laravel/Vue/Docker with unit tests and Cypress. Also worked on an Australian school management platform (Qobox) with multiple portals (staff/students/guardians), focusing on scalability via query optimization, indexing, and Redis caching; strong in React but not in Java/SpringBoot.”
Mid-level Unity Game Developer specializing in prototype production and gameplay systems
“Unity game developer in Poland who builds 2D/3D prototypes and has shipped sports-simulator-style projects, including a powerlifter sim enhanced with a life-management/tamagotchi layer that improved retention metrics. Also created an Itch.io multiplayer card game (Fool) using Photon and leverages AI tools to design procedural systems like auto-generated player routes (e.g., in the board-game project Vulvanji).”
Junior Full-Stack Data Engineer specializing in data pipelines and analytics
Junior Full-Stack Developer specializing in FinTech automation and real-time dashboards
“Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.”