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Vetted Event-Driven Architecture Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in Healthcare IT and cloud-native microservices
Mid-level Software Engineer specializing in AWS serverless and AI support automation
Senior AI/ML Engineer specializing in Generative AI and conversational systems
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior Backend Software Engineer specializing in FinTech and distributed systems
Senior Full-Stack Engineer specializing in cloud-native SaaS platforms
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Senior Software Engineer specializing in cloud platforms and real-time collaboration
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Senior Software Engineer specializing in distributed systems and agentic AI platforms
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Staff Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in backend microservices and cloud automation
Director of Architecture specializing in AdTech, AI/ML, and large-scale cloud platforms
Whitney Stout
Director-level Technology Architect specializing in GTM systems, data, and AI
“Bootstrapped founder of ByteThirst, a launched browser extension and CLI that monitors and estimates the environmental cost of LLM usage. They are targeting a niche climate-tech/AI space with support for 14 platforms, a freemium subscription model, and a first-mover thesis backed by market research, market sizing, and profit projections.”
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”
Chetana Reddy Yellareddy
Mid-Level Software Engineer specializing in distributed systems and cloud-native platforms
“Backend/AI engineer who built and scaled an internal AMD semiconductor manufacturing microservice platform (SMR), reworking a synchronous lot-request workflow into an event-driven RabbitMQ/Celery/FastAPI pipeline. Diagnosed and fixed peak-load reliability issues using deep observability and Kubernetes autoscaling, cutting notification latency back to sub-second and reducing duplicates via idempotency/DLQs. Also shipped an LLM-powered natural-language search with schema-constrained JSON outputs and guardrails, plus a plan-execute-verify Jira bug-resolution agent that can propose fixes and raise PRs under restricted permissions.”
Akanksha Agrawal
Mid-Level Full-Stack Software Engineer specializing in event-driven data platforms
“Backend engineer with SAP experience modernizing a legacy Flask/PostgreSQL product master data platform into a modular, stateless, containerized service with Kafka-based background processing and improved observability. Also has hands-on academic/side-project experience operationalizing ML (NLP retrieval with TF-IDF/BERT via FastAPI and CV lane-edge detection inference APIs using PyTorch).”