Vetted Postman Professionals

“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”

“Frontend engineer who has built and owned products end-to-end, including a healthcare app with live video monitoring and a stock market dashboard. Emphasizes scalable UI architecture via reusable components and shared schemas, plus performance/SEO improvements using Lighthouse and modern loading/minification techniques. Has experience shipping time-sensitive features like payment integrations with continuous QA support.”

“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”

“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”

Buzwe Bam

Screened

Senior Creative Technologist specializing in interactive digital experiences

Johannesburg, South Africa6y exp

“Unity VR developer with shipped Meta Quest experience who has led and built immersive industrial applications, including a life-size diesel engine visualization POC for Harmony Mine and a manufacturing labeller maintenance/operation training simulator with guided/unguided modes plus scoring and timing. Leverages AI tools to speed up iteration, storyboarding, and coding support, and prefers a balanced, cross-functional team environment.”

Krystal Galdamez

Screened

Junior Full-Stack Software Engineer specializing in AI-powered web applications

San Jose, CA1y exp

“Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.”

Kevin Thomas

Screened

Intern Software Engineer specializing in AI, cloud, and backend systems

Torrance, CA1y exp

“Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.”

“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”

“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”

“Not a console game tester and unfamiliar with Sony/Microsoft/Nintendo certification requirements, but has experience in website feature development (redeem points flow) and prioritizing backend vs frontend work under pressure. Prefers structured Agile/Scrum teams and uses ChatGPT to brainstorm and gather examples for workflows/testing.”

“Manual QA tester with ~3 years of experience and a strong gamer/end-user mindset, aiming to transition into console game testing. Has provided UX-focused feedback to product leadership and prefers a collaborative, less-structured workflow (e.g., live testing with engineers in local environments to reduce downstream defects). Not yet familiar with console certification standards (TRC/XR/LOT) but highly motivated to learn.”

“Full-stack engineer from an early-stage AI SaaS startup who owned and shipped a production AI-powered PDF document chat and sharing feature end-to-end (React/TS + Node + Postgres on AWS). Demonstrates strong product thinking through layered success metrics and tight feedback loops, plus hands-on reliability/observability work (CloudWatch, structured logging, alarms) and robust ingestion pipeline patterns (idempotency, retries, reconciliation).”

“Built and productionized an LLM-powered service desk ticket triage and reporting agent that classifies, prioritizes (including sentiment/urgency), and summarizes tickets into structured SQL outputs feeding Power BI dashboards. Emphasizes production reliability (99% uptime) with retries, schema validation, confidence thresholds, human review queues, and rule-based fallbacks, delivering 85–90% reduction in manual effort and 25–30% faster resolution times.”