Vetted Bootstrap Professionals

Bill Cheng

Screened ReferencesStrong rec.

Director-level Engineering Leader specializing in SaaS platforms and AI systems

Remote, USA26y exp

“Entrepreneurial candidate building an LLC focused on applying AI to improve call center customer service, with an early go-to-market focus on local government call centers. They are already in discussions with a government prospect and have a clear thesis around solving high turnover and low knowledge retention through AI-assisted training and support systems.”

“Backend/full-stack engineer who has built AI-powered search and workflow systems in production, including a semantic resume-matching platform for recruiters and internal security data dashboards at ReliaQuest. Stands out for combining modern AI tooling with pragmatic reliability, performance tuning, and strong product intuition in ambiguous environments.”

“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”

“Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.”

“Frontend engineer with hands-on experience leading architecture and quality practices for React/Angular apps, including design system selection, code review/branching workflows, and Jest-based unit testing with a 100% coverage target. Built a React + TypeScript financial tool using Zustand/React-Redux, improved performance via lazy loading, and implemented input-sanitization utilities. Has managed fast-paced releases with Rally-based defect tracking and resolved a production deployment issue via rollback and YAML configuration fixes.”

“Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.”

“Backend engineer working on high-volume insurance claims intake systems who shipped a production GenAI document-classification capability in Spring Boot microservices. Emphasizes reliability in LLM systems (strict schemas, confidence thresholds, monitoring, and manual-review fallbacks) and runs evaluation loops with labeled historical documents to drive prompt/validation improvements and reduce manual review.”

“Data engineer with healthcare domain experience who has owned end-to-end pipelines and APIs at UnitedHealth Group, processing ~8M records per batch. Strong focus on data quality (multi-layer validation), reliability (monitoring/logging, retries/idempotency), and performance (Spark/SQL tuning, caching), with experience standing up early-stage systems using Python, Docker, and CI/CD.”

Siddhanth Erramaraju

Screened

Junior Full-Stack Developer specializing in MERN and AWS

Birmingham, AL3y exp

“Backend engineer focused on Python/Flask APIs and cloud-native delivery: builds stateless services with JWT auth, validation, and scalable deployment on Kubernetes using a GitOps workflow (ArgoCD-style) with easy rollbacks. Has also implemented Kafka-based real-time event pipelines and supported phased hybrid cloud/on-prem migrations with parallel runs and controlled cutovers.”