Vetted macOS Professionals

“Video editor with 15+ years of experience across major NLEs (Premiere, Final Cut, DaVinci, Sony Vegas) and a strong focus on longform YouTube retention through pacing, audio, and recurring hooks. Produced end-to-end, graphic-heavy weekly content for the Ditto Music Channel (self-filmed/edited/narrated/scripted), contributing to a library of 30–40 videos reaching ~5K–200K views each.”

“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”

“QA automation engineer with end-to-end ownership of a regression suite for a warehouse loan management platform (.NET/Angular), using Selenium (Java/Cucumber/POM) and Cypress. Improved suite stability and expanded risk-based coverage (DB/API/SQL, RBAC approval workflows), catching critical financial defects like EMI calculation errors and cutting regression effort by ~50% while gating releases via GitLab CI/CD with actionable Slack reporting.”

“Full-stack engineer with production ownership across React/TypeScript, Node/Express, and Postgres, including zero-downtime releases and rollbackable migrations. Demonstrated measurable performance wins (20% response-time reduction) through DB query profiling and batching, plus hands-on AWS operations (ECS/Lambda/CloudWatch) and reliability patterns for ETL (retries, DLQs, idempotency). Experience shipping microservices quickly in ambiguous, fast-paced environments (Deloitte).”

“Backend/platform engineer who built a high-scale audience segmentation and real-time targeting system using Spark/Glue + S3/Hudi and low-latency API services backed by Redis/relational stores. Demonstrates strong production rigor: Spark performance tuning to eliminate OOM failures, API idempotency/caching to cut p95 latency ~40%, and careful dual-run/feature-flag migrations with reconciliation and rollback runbooks. Experienced implementing layered security with JWT/OAuth, RBAC/ABAC, and database row-level security to prevent privilege escalation.”

“Customer Success Manager with enterprise experience managing the Walgreens contract at EarnIn end-to-end, coordinating executives/legal/HR/marketing and technical teams through benefits-platform integration, adoption, and renewal. Delivered 85% annual retention (despite store closures) and maintained a positive NPS, supported by usage monitoring, benchmarking, and monthly executive reporting. Also drove expansion at Unison by rolling out new insurance products to homeowners using savings/ROI-based positioning.”

“Game QA professional with live production experience owning QA strategy for a cross-platform seasonal loadout system in a live server shooter. Works in Agile/Scrum with CI/CD, using Jira + TestRail (including two-way sync) to drive traceable test coverage and fast triage via evidence-rich bug reports. Emphasizes risk-based coverage, regression discipline across builds, and converting gameplay feel into actionable design/engineering feedback.”

“Backend-focused engineer with strong .NET/Angular experience building enterprise financial and healthcare systems, including microservice APIs deployed with Docker/Kubernetes and AWS ECS. Demonstrates production reliability skills across secrets management (Secrets Manager/IAM), incident response (CloudWatch + Kafka failover), and data engineering patterns from SSIS ETL (data quality, incremental recovery), plus proven SQL tuning with a 10-minute report reduced to under 30 seconds.”

“Game industry QA tester with several years of experience supporting multiple AAA titles, including multiplayer ownership and work spanning pre-alpha through gold master and post-launch updates. Known for proactive edge-case exploration—e.g., finding and documenting a late-stage crash tied to a mission timer interaction—backed by strong evidence capture (video, crash dumps) and thorough verification/regression practices.”