.png){kind=logo}
Vetted Windows Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Senior QA Analyst specializing in web/mobile, API, and non-functional testing
Senior VR/AR Software Engineer specializing in graphics, OpenXR, and computer vision
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”
Siva swathi javisetty
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”
Nazar Kuchynskyi
Junior Frontend Developer specializing in React/TypeScript for SaaS and e-commerce
“Frontend developer (~2 years experience) who has built user-tier-based UI logic (BannerRotator) and shipped a KYC workflow in a fast-paced, regulated crypto/e-commerce context. Emphasizes modular React + TypeScript patterns, scenario-driven QA documentation in Notion, and codebase modernization (TypeScript rewrites and legacy hook updates).”
sandeepreddy bimidi
Junior Full-Stack Software Engineer specializing in scalable web services
“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”
Mid-level IT Specialist specializing in configuration management and systems administration
Senior QA Automation Engineer specializing in web and mobile test automation
Mid-level Software QA Engineer specializing in web, mobile, and API test automation
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Intern Software QA Engineer specializing in mobile and web application testing
Mid-level QA Lead specializing in Salesforce and web/mobile quality assurance
Mid-level Software QA Engineer specializing in XR and cross-platform testing
Mid-level Cybersecurity & Robotics Operations Specialist
Mid-Level Backend/API Engineer specializing in AWS and healthcare/first-responder systems
Mid-level Frontend Engineer specializing in React, micro-frontends, and AWS
Intern Full-Stack Software Engineer specializing in AI, cloud, and web/mobile apps