Vetted Regression Testing Professionals

“Unity/VR gameplay engineer who has shipped full games and built a robust coin economy + massive gear customization system (over a million combinations) backed by a cloud service. Notably discovered and fixed a severe backend security flaw by adding proper authentication (security key + OAuth2), and has hands-on VR performance optimization experience (OVR Metrics, LOD/mipmaps, imposters) plus multiplayer sports sync design using Photon PUN2.”

“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”

“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”

“Unity gameplay programmer with Photon-based multiplayer experience who built a real-time player feedback system (instant animation/VFX/audio + score updates) using events/ScriptableObjects to keep gameplay and UI decoupled. Has tackled movement desynchronization under variable latency with client-side prediction/interpolation and uses AI tools to speed up prototyping and balancing for a procedurally generated, math-based casual game.”

“Frontend engineer who led the Dash Merchant App and Backoffice platform (React/TypeScript/Redux) supporting $50M+ in monthly transactions. Focused on scalable architecture and reliability—introduced typed API layers, centralized error handling, and performance optimizations (including ~40% load-time reduction) while driving team adoption through incremental refactors, templates, and pairing.”

“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”

“Game/software QA tester with hands-on experience testing rhythm/music games on Android/iOS plus Steam Deck testing with controller-based gameplay. Also has web and API testing experience, uses Jira for structured tracking, and leverages offline AI tools to generate test cases and explore negative flows while handling sensitive data.”

“Game-focused QA tester with a developer background who routinely validates builds in player-like environments (including VMs), documents test coverage rigorously, and provides high-signal bug reports with reproducible steps and video evidence. Has partnered closely with designers and engineers on issues like level-loading resource management and prioritizes defects based on player progression and immersion impact; has not shipped a AAA title.”

“Built and deployed a production LLM-assisted recommendation and insights platform that unifies structured, semi-structured, and unstructured data via a modular ingestion pipeline, canonical schemas, embeddings, and late-fusion modeling. Experienced in operationalizing ML/LLM systems with Airflow and Kubernetes (Dockerized services, autoscaling, rolling updates) and emphasizes reliability through layered testing, guardrails, monitoring, and A/B experimentation while partnering closely with non-technical stakeholders.”

“Frontend engineer who led end-to-end development of the Neelum transportation admin panel (React + TypeScript + AntD), building scalable dashboards and multi-step workflows for users/roles/bookings/operational zones. Emphasizes maintainable feature-based architecture, typed API contracts, performance optimization for data-heavy UIs, and disciplined quality/rollout practices (regression checks, feature flags) in fast-paced environments.”

“Mobile QA tester with hands-on manual testing experience (functional flows, UI/UX checks) and disciplined documentation/bug tracking in JIRA. While new to console testing and TRC/XR/LOT certification requirements, they describe a concrete ramp-up plan (study guidelines, review standards, shadow experienced testers) and emphasize clear defect communication and deadline-driven prioritization.”

“Game QA professional working in an agile studio environment with end-to-end ownership of feature testing, including an AAA release enhancement focused on user authentication and session management. Experienced partnering with PM/design/dev from PRD walkthroughs through triage, regression, and release readiness, and has implemented repeatable coverage via TestRail/Jira traceability plus Playwright (TypeScript) automation.”

“Oracle Software Developer (2+ years) at C3 Business Solutions, a consulting firm building and maintaining ERP applications across Oracle APEX/FDI/Fusion/EBS/OCI. No formal game QA experience yet, but demonstrates practical QA-adjacent skills (test planning, debugging via logs, and detailed bug reporting) and is explicitly looking to transition into a QA Engineer role.”

“QA Automation Engineer with hands-on ownership of an end-to-end Selenium-Java/TestNG suite for an e-commerce platform, integrated into Jenkins with PR smoke and nightly regression gating. Notably caught and validated (via SQL/API checks) a critical defect where checkout reported success but orders were not persisted, preventing customer-impacting production issues; also has Cypress experience stabilizing flaky UI tests using robust selector and wait strategies.”

“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”

“Forward Deployed Engineer at EasyBee AI who productionized a self-storage customer’s multi-agent LLM system end-to-end—rebuilding it with LangGraph/CrewAI, integrating with real property management + CRM systems via an MCP server, and adding observability/guardrails for reliable daily use. Experienced in live troubleshooting of agentic workflows, developer demos/workshops (including an open-source project, MerryQuery), and partnering with sales to close deals through customer-specific technical demos and fast integration feedback loops.”

“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”

“QA professional with 5 years of experience testing web and business systems including an online shop, digital marketing integrations, and a warehouse management system. Comfortable running structured QA processes (test scenarios, device/scope planning, schedules) and aligning plans with product owners/managers; prioritizes defects by user impact and is open to learning new certification frameworks.”

“Software/automation QA professional with hands-on Oculus VR testing at Telkom, covering controller inputs, tracking reliability, performance/FPS stability, thermal behavior, crash reproduction, and system-level events (standby/resume, low battery, network interruptions, guardian changes). Familiar with the intent and coverage areas of console certification frameworks (Sony TRC/Microsoft XR/Nintendo LOTcheck) and uses AI to speed up log analysis and test case creation.”

“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”

“Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.”

“Software QA professional with 10+ years of experience across e-commerce, medical applications, and database management systems, often serving as the sole QA on projects. Has implemented QA processes from the ground up (bug workflow and release checklists) and emphasizes disciplined, highly readable ticketing and traceability-driven test maintenance; no professional game studio testing experience.”

“QA automation engineer (Tencent experience) who extended Android Monkey testing to dramatically increase activity coverage (~300%) and cut runtime from 8 hours to ~1 hour per app. Strong in Cypress/JS test architecture and CI/CD gating (GitLab + Kubernetes parallel runs), and has a track record of reproducing and documenting high-impact reliability issues (e.g., silent failures in a cloud-native mobile automation platform under network loss).”

“Frontend engineer who created an in-house React-like framework (“React-Wilcox”) enabling modern, event-driven UI components on extremely legacy browsers (as far back as 2002), including race-condition avoidance via batched state updates. Also does freelance work untangling AI/vibe-coded frontends for nontechnical founders, componentizing UIs and fixing routing/readability, and recently built a React+TS social app for martial artists with privacy-preserving location distance features.”