Vetted Testing Professionals

ATIF FATTANI

Screened ReferencesStrong rec.

Mid-level Full-Stack Developer specializing in MERN, mobile apps, and business automation

Karachi, Pakistan5y exp

“Full-stack builder who appears to have owned Qualifychat end-to-end as a solo contributor, spanning React/TypeScript frontend, backend APIs, AI-driven lead qualification, scoring, and admin dashboards. Strong focus on turning complex automation into simple business workflows, with additional experience building tools like Write Guard and an HR CRM.”

Snigdha Reddy Podduturi

Screened ReferencesStrong rec.

Junior Data & AI Engineer specializing in cloud AI and analytics

Remote3y exp

“Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.”

Emmanuel Okeibunor

Screened ReferencesStrong rec.

Mid-Level Frontend/Full-Stack Developer specializing in Nuxt.js and e-commerce systems

Lagos, Nigeria3y exp

“Frontend engineer who has led end-to-end builds (including an SSR Vue 3 app) and delivered complex React + TypeScript internal dashboards for a fintech (Sycamore). Demonstrated strong architecture and performance chops, including refactoring a large internal tool with lazy loading and route-based code splitting to improve load speed by 64%, and operating within a robust CI/CD + QA pipeline.”

Zueva Tatiana

Screened ReferencesStrong rec.

Senior Software Engineer specializing in XR, 3D systems, and computer vision

Russia5y exp

“XR/Unity engineer with hands-on ownership of high-performance 3D reconstruction and visualization systems, including a Gaussian Splatting pipeline that improved target-device performance from ~20 FPS to 60+ FPS. Also brings multiplayer XR experience with Photon Fusion, cross-platform Quest/mobile shipping experience, and AI-driven NPC dialogue integration using a self-hosted rule-based backend. Based in Moscow and open to remote work across time zones.”

Phat Dang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in full-stack, DevOps, and GenAI

Toledo, OH2y exp

“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.”

Juan Lagisquet

Screened ReferencesModerate rec.

Senior Game Designer/Unity Developer specializing in gameplay and level design

11y exp

“Senior game designer with shipped experience on Outlanders, focused on systems/economy balance, player motivation loops, and clear cross-discipline implementation. Built rapid UE5 prototypes (48-hour cycle) and iterated based on feedback—especially leveraging audio to guide players in an atmospheric horror concept. Has led design decisions under mobile performance constraints, aligning engineering/art/direction to ship a sandbox mode with acceptable entity/map limits.”

Nobin Johnson

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development

Buffalo, NY4y exp

“Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.”

Ronald Forte

Screened ReferencesModerate rec.

Entry-Level Software Engineer specializing in AI APIs and RAG systems

0y exp

“Junior/entry-level AI/LLM engineer who built a production-oriented RAG onboarding and knowledge assistant that ingests GitHub repos and internal sources (e.g., Confluence/Jira) using ChromaDB, with reliability features like retrieval fallbacks, retries, caching, and monitoring. Currently implementing a LangGraph-based multi-agent workflow with intent routing and Pydantic/Magentic-validated structured outputs, plus CI/CD offline evals and online metrics (Grafana/Prometheus) to improve predictability and reliability.”

“Analytics professional with operations-grounded experience at WWEX Group who built a Snowflake/dbt fleet-efficiency data model combining telematics, ERP, and driver logs into near real-time executive reporting. They pair strong SQL/Python workflow automation with practical stakeholder enablement, and cite measurable impact including cutting reporting time from 72 hours to 15 minutes and helping drive $450K in quarterly fuel savings.”

“Engineer focused on real-time collaborative canvas products and AI-assisted design workflows, with hands-on ownership of both multiplayer infrastructure and LLM-powered generation systems. They combine strong TypeScript/full-stack architecture with production-grade AI evals and observability, and cite meaningful outcomes including zero sync-conflict bugs, rollout to 50,000+ DAUs, and major gains in onboarding speed and engagement.”

“Robotics software engineer with experience spanning safety-critical embedded medical hardware (low-cost neonatal baby warmer with PID temperature regulation) and advanced multi-robot planning research (belief-space planning with abstraction + MCTS to handle uncertainty). Strong ROS/ROS2 practitioner (Nav2/SLAM Toolbox/MoveIt) who builds custom packages (e.g., Insta360 panoramic imaging) and is hands-on debugging real robots from SLAM/frontier exploration to multi-robot collision avoidance and real-time performance.”