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Vetted Cloud-Native Architecture Professionals
Pre-screened and vetted.
Manasseh Mannem
Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and cloud automation
“Built and owned end-to-end deployment and AI support workflows spanning CI/CD, Kubernetes, Terraform, and LLM/RAG systems. Stands out for combining DevOps delivery with production AI operations, including secure tool-calling, incident debugging, retrieval quality controls, and validation-first document ingestion for messy real-world inputs.”
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Executive Engineering Leader specializing in cloud-native enterprise platforms and developer tooling
Senior Full-Stack Engineer specializing in cloud-native web platforms
Senior Full-Stack Engineer specializing in cloud-native microservices and AI/LLM integrations
Mid-level Full-Stack Java Developer specializing in microservices and cloud on AWS
Junior Backend/Infrastructure Engineer specializing in distributed, low-latency cloud systems
Senior AI and Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Backend/Platform Engineer specializing in AWS-native data processing systems
Director-level Software Architect specializing in cloud observability and network monitoring
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Senior Software Engineer specializing in cloud-native systems and Generative AI
Senior AI & Systems Architect specializing in ML infrastructure and FinTech
Jingyao Chen
Junior Backend/Platform Engineer specializing in AI microservices and cloud-native systems
“Cofounder at MeowyAI who shipped a production multimodal (vision/voice/text) AI task manager using Gemini, tackling real-world issues like hallucinations, tool-calling safety, and RAG-based preference memory. Also built a production multi-agent RAG system orchestrated with LangGraph (and contributes to LangChain), with strong emphasis on latency optimization, observability (OpenTelemetry), and rigorous testing/evaluation including A/B tests and adversarial prompting.”
Kashyap Ivaturi
Staff Software Engineer specializing in FinTech and AI-powered customer support
“Technical lead who shipped a production GPT-4-powered customer support agent for Square, serving a large fintech customer base through a React chat interface with tool-using orchestration, guardrails, and live handoff paths. Brings strong real-world experience in agent reliability, evaluation, observability, and workflow orchestration using Temporal, Sidekiq, Pinecone, Datadog, and Snowflake.”
Jay Desai
Executive Technology Architect specializing in FinTech, AI platforms, and cloud modernization
“Entrepreneur building an early-stage community food-sharing, network-effects platform positioned as an alternative to restaurant-centric delivery models (e.g., DoorDash/Uber Eats) by enabling homeowners to act as micro-entrepreneurs. Has been piloting a local community program for nearly a year and uses experiments and customer feedback to validate hypotheses and assess scalability.”
Yashwanth J
Mid-level Software Engineer specializing in AI/ML and full-stack systems
“Engineer with Apple experience building LLM-powered internal workflow orchestration systems using Python, LangGraph, FastAPI, Redis, vector search, and Kubernetes. Stands out for a highly pragmatic, production-focused approach to agentic systems: deterministic state management, strong guardrails, observability, and human review for high-risk actions.”
Raghu Prabhudeva
Staff Embedded/Automotive Systems Architect specializing in IVI, ADAS, and digital cockpit platforms
“Robotics-adjacent software engineer with hands-on ROS 2 experience building and integrating sensor nodes (IMU, GNSS, wheel encoder) and working with distributed pub/sub concepts via ROS IDL and DDS. Also has Gazebo exposure through Udacity coursework and uses Docker as a core development/deployment tool, with related experience in automotive camera-based solutions.”
Colin Bielen
Executive engineering leader specializing in AI, platforms, and streaming media
“Engineering leader with experience at CBS Interactive and Paramount who scaled a web engineering team from 4 to 30+ (adding QA/PMO/mobile) while instituting strong agile and code-quality processes. Led a major architectural shift to a generic content API that decoupled web/mobile experiences from niche publishing systems, reportedly cutting developer onboarding time by ~50% and enabling some day-one production commits.”
Josh Rhoades
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms
“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”