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Vetted Microsoft SQL Server Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in backend, cloud, and data pipelines
Mid-Level Full-Stack Software Engineer specializing in GenAI and cloud-native systems
Senior QA Analyst specializing in test strategy, automation tooling, and cross-platform release quality
Senior SDET specializing in test automation for .NET, APIs, and cloud-native systems
Senior QA Test Analyst specializing in ETL, IVR, and healthcare/government systems
Junior Software Developer specializing in Java and web development
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level QA Test Engineer specializing in automation, API validation, and CI/CD
Mid-Level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Senior Full-Stack Developer specializing in automation, IoT, and integrations
Staff Full-Stack Developer specializing in web, iOS, and blockchain applications
Senior QA Engineer specializing in manual and Selenium-based test automation
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
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).”
Chaitaliben Patel
Senior Mobile & Full-Stack Developer specializing in cross-platform apps and AWS
“Frontend/mobile engineer with iOS and React/TypeScript experience who built an app (Tokidos) from proof-of-concept to production at Neuronic Works Inc. Focuses on scalable architecture (MVC/MVVM, feature-based modular structure), performance improvements (React Query, render optimization), and fast, low-risk delivery using QA scenarios and feature-flagged rollouts across web and mobile.”
Vaibhavi Madhav Deshpande
Mid-level AI Engineer specializing in LLM agents, RAG, and data pipelines
“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”