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Vetted Argo CD Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native SaaS, IoT, and GenAI platforms
Mid-Level Software Developer specializing in distributed systems, cloud, and APIs
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML
Senior Site Reliability Engineer specializing in multi-cloud DevOps and Kubernetes
Senior Backend Engineer specializing in Kubernetes, GitOps, and Kafka streaming
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Senior DevSecOps & Cloud Engineer specializing in Kubernetes, GitOps, and federal compliance
Senior DevSecOps Engineer specializing in AWS/Azure cloud security and automation
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD
Principal Site Reliability Engineer specializing in multi-cloud platforms, observability, and AIOps
Senior AI and Full-Stack Engineer specializing in LLM-powered microservices
Senior DevOps Engineer specializing in Kubernetes and multi-cloud infrastructure
Mid-level DevOps & Platform Engineer specializing in Kubernetes and AWS infrastructure
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Senior AI Python Engineer specializing in Generative AI and MLOps
Ujwal Waghray
Mid-level Robotics & Software Engineer specializing in ROS 2 autonomy and ML
“Master’s-level IoT course project that the candidate helped evolve into a research lab effort by “ROSifying” a soil-fertility detection rover (autonomous navigation within a GPS geofence, sensor fusion, and rover-to-base-station telemetry via NRF24 to a Raspberry Pi dashboard). Also built a ROS/Gazebo vision-based teleoperation system using a SigLIP hand-gesture model mapped to geometry_msgs/Twist, and improved stability by instrumenting and filtering a latency-prone perception-to-control pipeline.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”