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Vetted Argo CD Professionals
Pre-screened and vetted.
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Director-level Software Engineering Manager specializing in cloud platforms and consumer products
Executive Engineering Leader specializing in FinTech and Healthcare SaaS platforms
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Senior Cloud/DevOps Engineer specializing in Kubernetes, IaC, and multi-cloud platforms
Mid-level AI/ML Engineer specializing in LLMs, search ranking, and multimodal ML
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Backend/Platform Engineer specializing in Python, Kubernetes, and data streaming
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Riccardo Bernardi
Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps
“LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Software Engineer specializing in ML-enabled FinTech SaaS