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Vetted Requirements Gathering Professionals
Pre-screened and vetted.
Mid-level QA/Systems Analyst specializing in test tooling, observability, and healthcare data migration
Mid-level Requirements & QA Analyst specializing in requirements management and test automation
Senior Product Manager specializing in SaaS, AI-driven analytics, and digital health
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and LLM applications
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs
Junior Full-Stack Engineer specializing in web and mobile applications
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud
Mid-level Revenue Operations Analyst specializing in business analytics and Salesforce
Senior Project Manager and Scrum Master specializing in regulated technical programs
Senior Product Manager specializing in SaaS, Agile delivery, and regulated platforms
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Executive Enterprise Architect specializing in cloud, ERP/CRM, integrations, and AI/ML
Perry Shaffer
Director-level Staffing Operations & Sales Leader specializing in business development
“Light industrial staffing operations leader who scaled from multi-unit branch manager to Market VP overseeing four Dallas–Fort Worth branches (~$63M annual volume) and 56–58 direct reports. Known for data-driven SOP/operations turnarounds that lifted revenue 30%+ and gross profit 25%+ (President’s Club top 10%), plus leading a multi-market Employee Bridge mobile app pilot and tightening E-Verify compliance for high-volume accounts like HelloFresh.”
Bhuvaneswari Kudaravalli
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”
Likitha Kukunarapu
Mid-level Applied AI Engineer specializing in data engineering and healthcare AI
“Built production LLM agents spanning document Q&A, financial insight generation, and ERP-like operational data workflows, with a strong focus on reliability, grounding, and evaluation. Stands out for translating LLM systems into measurable business outcomes, including 70%–80% support workload reduction and a fallback-rate improvement from 18% to 8% through targeted RAG iteration.”
Ankit Raj
Junior Software Engineer specializing in AEM and enterprise web development
“Frontend/full-stack engineer with enterprise experience at Infosys and hands-on ownership of a full-stack educational platform, MicroExplore. Built React UI architecture plus FastAPI/MongoDB CRUD features end-to-end, and stands out for candid technical judgment around tradeoffs, maintainability, and security gaps he would address in a production-grade next iteration.”