Vetted Monitoring Professionals

“LLM solutions practitioner with SOC/alert-triage experience who takes LLM prototypes to production using RAG (Pinecone), FastAPI services, guardrails, CI/CD, monitoring, and robust fallback logic. Known for rapid real-time debugging of embedding/vector and agent workflow issues, and for driving adoption through code-first workshops and sales-aligned custom demos with measurable improvements (35% faster triage; 40% increase in correct tool usage).”

“Software engineer with healthcare domain experience (patient monitoring and provider systems) who improves reliability and performance in complex React/Flask applications. Led API standardization for shared internal React utilities using an RFC + deprecation strategy, and optimized a live WebSocket dashboard to handle 3000+ concurrent clinics while reducing client CPU usage. Strong in production debugging, data ingestion validation, and operational improvements like structured logging and alerting.”

“Full-stack engineer in an insurance + telematics org who built a 0→1 multi-agent, AI-driven mobile regression execution system integrating Jira and n8n, emphasizing determinism (schema-validated outputs), traceability (state-machine style step archives), and scalable device scheduling. Also designed an event-driven microservices architecture using Kafka with standardized API/event contracts and has hands-on incident response experience improving resilience via rate limiting, circuit breaking, caching, and idempotency.”

“Backend/infrastructure-focused engineer building AI-agent products for small businesses, including a customer-service agent platform with intent routing, RAG over Pinecone, and external booking API integration. Has shipped Python/FastAPI services with JWT auth, versioned APIs, Docker deployments to AWS EC2 via GitHub Actions, and production monitoring with Prometheus/Grafana.”

“Full-stack engineer with strong fintech/financial-systems experience who built an automated reconciliation and reporting system end-to-end (Python/Django/FastAPI + React, Docker on AWS), cutting reconciliation time by ~25% and improving audit traceability. Experienced designing typed REST APIs and Postgres data models, operating production workloads on AWS (EC2/Lambda/RDS/DynamoDB/CloudWatch), and building reliable ETL/integration pipelines with idempotency, retries, and reconciliation.”

“Backend engineer with airline operations domain experience who modernized flight-ops systems from batch updates to real-time streaming on AWS (Kafka + Spring Boot microservices), improving latency and stability through metric-driven tuning and idempotency. Also shipped a production LLM decision-support component using RAG over operational logs and internal procedures, with strong guardrails and an evaluation/regression loop to reduce hallucinations and enforce grounding.”

“Cloud/DevOps engineer operating across AWS and Azure, running Kubernetes workloads with secure CI/CD (GitHub Actions/Azure DevOps) and Terraform IaC. Has supported AIX/PowerHA systems in hybrid environments—handling failover testing, incident recovery, and performance troubleshooting (including multipath/storage-path issues)—and has led cutovers by managing dependencies, rollback, and stabilization.”

“Full-stack TypeScript/Angular/Node engineer who owned a production healthcare application for a pharmaceutical client, supporting 100K+ monthly users across 10+ countries. Strong focus on maintainability and quality (reusable localized component library, ~90% unit test coverage, SonarQube in CI/CD) plus performance work (reported 15% client-side latency reduction and up to 50% backend latency reduction) while migrating legacy mobile code with strict backward compatibility.”

“Backend/data engineer with hands-on production experience across FastAPI microservices and AWS (Lambda, ECS, SQS, RDS, S3), plus Glue/Athena analytics pipelines. Demonstrates strong reliability and operations focus (timeouts/retries, centralized errors, CloudWatch monitoring) and measurable SQL optimization impact (25s to under 2s). Seeking fully remote senior developer role at ~$150k base.”

“Data/ML and product leader with large-scale consumer and enterprise experience (including Walmart) who blends hands-on prototyping with executive stakeholder alignment. Has delivered measurable outcomes across personalization, semantic search/knowledge graphs, and fraud/security architecture, and has scaled organizations rapidly (30→180 in 12 months) by upskilling and building modern data/ML engineering capabilities.”

“Executive/engineering leader with 18+ years at an established company who helped turn a top-3 telco data opportunity into meaningful revenue and a continuing partnership to launch new data-driven products. Brings a security/privacy-first approach (compliance assessments and documentation) and a structured North Star + technical planning method for building with limited resources; interested in joining an early-stage founding journey with the right vision and team.”