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Vetted Blue-Green Deployment Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in backend, AI agents, and conversational UX
Senior Full-Stack Java Developer specializing in cloud-native enterprise systems
Mid-level Software Engineer specializing in backend distributed systems and FinTech
Mid-Level Software Engineer specializing in cloud-native microservices and GenAI document automation
Senior Python Engineer specializing in Healthcare IT and FinTech platforms
Mid-Level Software Engineer specializing in payments, risk analytics, and cloud-native microservices
Intern Software Engineer specializing in backend microservices and cloud infrastructure
Mid-Level Software Engineer specializing in cloud-native microservices for healthcare and finance
Senior AI & Cloud Engineer specializing in GenAI and data platforms
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Senior AWS Cloud/DevOps Engineer specializing in infrastructure automation and Kubernetes
Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes
Senior DevOps & Cloud Engineer specializing in AWS, Kubernetes, Terraform, and DevSecOps
Senior Cloud Solutions Architect specializing in AWS, DevOps, and infrastructure modernization
Senior Software Engineer specializing in distributed systems and FinTech
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Anshul Joshi
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
Senior DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes
Krishnapriyanka Ponnaganti
Mid-level AI/ML Engineer specializing in agentic AI and production ML systems
“ML/AI engineer with hands-on experience shipping production computer vision and GenAI systems, including a fabric defect detection platform that combined vision models with agentic LLM workflows to reach 89% human-inspector agreement at 200 ms latency. Also built a RAG-based code QA tool for developers and emphasizes production monitoring, evaluation, caching, and reusable Python service design.”
Rithindatta Gundu
Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps
“Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.”
Vishesh Sharma
Senior Full-Stack Java Developer specializing in cloud-native microservices and real-time web apps
“Full-stack engineer/product owner who built and scaled a customer-facing job application portal (Skillbridge) using TypeScript/React and Spring Boot/MongoDB, optimizing search performance with indexing, caching (Redis), and payload/lazy-loading improvements. Also built an internal AI-driven analytics dashboard for Salesforce operations using OpenAI sentiment analysis, achieving 70% reduction in manual analysis and driving adoption through demos and iterative feedback.”