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Vetted AWS IAM Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in Cloud-Native Platforms on AWS and Kubernetes
Executive technology leader specializing in software engineering, AI, and cloud platforms
Senior Software Engineer specializing in AI-powered search and backend systems
Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms
Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Mid-level Software Engineer specializing in distributed systems and data platforms
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
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 DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Chris Michaelson
Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization
“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
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.”