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Vetted Load Balancing Professionals
Pre-screened and vetted.
Intern Backend Developer specializing in AWS serverless and distributed systems
Junior Full-Stack Software Engineer specializing in web applications and cloud deployment
Mid-level Full-Stack Engineer specializing in scalable web applications and AI features
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Mid-level DevOps/Cloud Engineer specializing in AWS EKS and Terraform
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud
Kolby Kalafut
Senior Full-Stack Engineer specializing in e-commerce and operations platforms
“Sole software engineer for an ecommerce operation who ships and operates full-stack products end-to-end. Built a production AI voice agent integrated with Shopify and internal systems that now handles 4,000+ customer calls/month, plus a branded mobile app credited with $4M+ in sales and a self-serve returns/warehouse platform with strong React/TS UX and robust AWS operations.”
Mohammad Khaja Faizan
Junior Backend Software Engineer specializing in API-driven systems
“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”
MUHAMMAD KHUSHAL KHAN
Mid-level Quantitative Developer specializing in low-latency trading systems
“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.”
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Senior Full-Stack Developer specializing in Ruby on Rails web applications
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Senior Full-Stack Engineer specializing in React/Node.js and cloud-native web platforms
Junior Full-Stack Engineer specializing in SaaS and AI-powered web products
Mid-level Python Backend Engineer specializing in microservices and AWS
AungKaung Khant
Junior Software Engineer specializing in full-stack web and IoT development
“Computer Science student and indie hacker who builds open-source products in public, including a Chrome extension called "Add to ChatGPT" that reached 30+ installs in its first week. Has hands-on experience with full-stack social platform development and AI-integrated side projects, with a strong pattern of self-teaching, rapid shipping, and iterative bug fixing.”
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“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.”