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Vetted Systems Engineers in Arizona
Pre-screened and vetted in Arizona.
Tatyana Tsyganyuk
Mid-level QA/Systems Engineer specializing in automotive infotainment and manufacturing software
Nithya Nagaraj
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud microservices
“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”
Pradnya Satish Ket
Mid-level Software Engineer specializing in Java microservices and distributed systems
“Systems Engineer at Tata Consultancy Services with hands-on ownership of enterprise logistics microservices (Spring Boot) using Kafka integrated with Azure Event Hubs, including partitioning strategies and operational handling of consumer lag/duplicate events. Also built a full-stack road-accident blackspot detection application using Python-based spatial clustering and model evaluation with a JavaScript/Mapbox frontend.”
Pratik Waghmare
Mid-level Machine Learning Engineer specializing in LLM, RAG, and conversational AI systems
Praneeth Boddeti
Junior Robotics Engineer specializing in ROS 2 autonomy and sensor fusion
Pratik Waghmare
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
Tanisha Dalwadi
Mid-Level Full-Stack Product Engineer specializing in TypeScript and React
“Software engineer and co-founder with 0-to-1 SaaS experience who built and owned an end-to-end reporting/analytics dashboard on Next.js App Router + TypeScript, including Postgres schema design, aggregation query optimization, and post-launch performance/monitoring. Has delivered measurable React dashboard performance gains (~35% improvement in time-to-insight) and built durable, idempotent job/state-machine workflows using serverless functions and Postgres.”