Vetted Testing Professionals

Alireza Razinejad

Screened ReferencesStrong rec.

Senior Frontend Architect specializing in Angular, React, and FinTech web platforms

Yerevan, Armenia11y exp

“Fullstack engineer who has personally architected and implemented entire systems, including a clinic patient management platform and multi-tenant product capabilities. Stands out for combining domain-driven design with hexagonal architecture to keep fast-changing products maintainable, and for shipping customer-facing improvements that increased user satisfaction and helped drive revenue growth.”

“AI automation builder who shipped an OpenAI-powered weekly "trending AI tools" WoW reporting system (65 categories) that reduced a 6–7 hour manual process to ~10 minutes at negligible API cost. Also building a RAG-based content creation prompt engine that turns PDFs into storyboards with fact-checking/traceback to source lines, plus experience with AWS deployment components (Lambda, ECR, App Runner, Bedrock, API Gateway) and GitHub Actions.”

Ajinkya Nazare

Screened ReferencesModerate rec.

Senior Game Platform Engineer specializing in Unity mobile games

Chicago, IL10y exp

“Unity engineer with 8+ years of experience who owned Pitch5T end-to-end, spanning core gameplay systems, data-driven bot AI, mobile optimization, and custom real-time PvP networking. Particularly strong in building designer-friendly LiveOps workflows using telemetry and remote config so balancing could happen without repeated engineering intervention.”

“Robotics software engineer with hands-on ROS (ROS 1) experience building sensor-processing and state-based control pipelines in Python/C++. Demonstrated measurable reliability and performance gains in autonomous navigation—cut runtime failures by 30%, reduced replanning by 35%, and improved debugging efficiency by 40%—using timing-aware state machines, message/interface discipline, and simulation/testing with Gazebo, rosbag, Docker, and CI/CD.”

“Software developer with EdPlus experience building pragmatic internal tools (Next.js/TypeScript) and cloud automations (AWS) that feed Google Sheets and Looker Studio dashboards for operational visibility across 30+ student workers. Also worked on an IEEE Xplore-published missing-person tracker using a SPARQL graph database on Azure with a TypeScript/React frontend, and has experience navigating legacy access constraints (OpenVPN) while enabling remote VR previews via ngrok.”

“Full-stack engineer who built an email/SMS marketing platform from the ground up using PHP (Yii2/Laravel) and JS (jQuery/Vue components), including campaign reporting, A/B testing, and extensive ESP/SMS integrations (Mailgun/Mailjet/Twilio plus AWS SES/SNS). Notably scaled the system for very large contact ingestion by migrating from MySQL to ClickHouse and implemented reliability measures like retries, logging, and rate limiting.”

Colin Smith

Screened

Senior Unity XR Developer specializing in VR/AR training and healthcare XR

Galway City, Ireland11y exp

“Unity gameplay engineer with hands-on experience building a dynamic third-person RPG camera system (context-aware transitions, collision handling, and state-driven behavior) to significantly improve game feel. Also has real-time multiplayer prototyping experience with Photon Fusion/Normcore/Unity Netcode, including prediction/rollback and custom authority handoff to prevent desync during fast interactions, and leverages AI tools (e.g., Copilot) for rapid iteration and documentation.”

“Backend/platform engineer with strong ownership of production systems, including a full Azure migration from a VM-based monolith to a containerized, event-driven microservices architecture. They combine cloud infrastructure, LLM/RAG optimization, and pragmatic stakeholder management, with measurable wins including 90% infra cost reduction, faster deployments, and significantly improved latency and token efficiency.”

“Full-stack web developer with experience building sophisticated browser applications in three very different domains: e-commerce for agents/farmers, AI-assisted medical imaging for Alzheimer's detection, and factory shopfloor management. Particularly notable for owning a complex manufacturing UI with real-time data, dashboards, alerts, and a microservices/event-driven architecture approach.”

Joe Zayd

Screened

Senior Full-Stack Engineer specializing in AI and cloud-native platforms

Woodbridge, VA8y exp

“Full-stack engineer who has operated in a very lean startup setting, helping a non-technical founder turn an AI-focused education product idea into a shipped MVP in roughly six weeks. Also brings B2B SaaS experience from a real estate rental platform with payment flows and Experian-based background and credit check integrations.”

“Full-stack AI engineer who built Skillmatch AI, an LLM/RAG-based job matching platform using FastAPI microservices, Airflow-orchestrated async pipelines, and Pinecone vector search (sub-second retrieval across 50k+ vectors) deployed on GCP with autoscaling. Also partnered directly with a cancer researcher to automate SEER + PubMed-driven report generation via an AI pipeline, emphasizing rapid prototyping and outcome-focused communication.”

“ML/NLP engineer with banking domain experience who built a GenAI-powered fraud detection and risk intelligence system at Origin Bank, combining RAG (LangChain + FAISS), fine-tuned BERT NER, and GPT-4/Sentence-BERT embeddings. Delivered measurable impact (25% higher fraud detection accuracy, 40% less manual review) and emphasizes production-grade pipelines on AWS SageMaker/Airflow with strong data validation and scalable PySpark processing.”

Kunal Sanghvi

Screened

Mid-level Data Engineer specializing in AI, NLP, and LLM systems

USA3y exp

“Built and deployed a production AI customer support chatbot at Unique Design Inc. using FastAPI, AWS, Docker, and retrieval-based grounding on internal documents. Stands out for hands-on ownership across discovery, deployment, incident debugging, and post-launch iteration, with a strong focus on making LLM systems reliable and safe in real business workflows.”

keerthana bhukya

Screened

Junior Software Engineer specializing in AI/ML and cybersecurity

Stockton, CA2y exp

“Salesforce-focused engineer with hands-on depth across Sales Cloud, Service Cloud, Apex, LWC, and Aura. Stands out for owning end-to-end automation features, making thoughtful async architecture decisions to balance performance and reliability, and designing responsive Lightning interfaces that hold up under large data volumes.”

“Product leader with early-stage startup experience who has built product teams and worked on complex cross-border payments infrastructure at Navro. Also building an AI-native editorial side project, using Claude and automation to source scientific research, translate it for mainstream audiences, and streamline publishing end-to-end.”

Sean Arcaya

Screened

Junior Full-Stack Developer specializing in cloud-native web applications

3y exp

“Frontend engineer who built the SparQVO customer portal dashboard in React and TypeScript, integrating business data across systems while owning authentication, caching, filtering, and UX reliability. Particularly strong in production dashboard performance work, including cache design, request cancellation, and clean separation between API/data logic and UI components.”

“Full-stack engineer with healthcare/AI platform experience (Humana), owning an end-to-end high-risk patient prediction feature from React dashboards through FastAPI/TensorFlow real-time inference to AWS EKS operations. Emphasizes production reliability and contract-driven APIs (OpenAPI + generated TS types), plus strong data integration patterns (Kafka, idempotency, DLQs, backfills) in regulated, high-traffic environments.”

“Marketing designer with Raistone experience producing high-polish sales enablement and thought-leadership assets, including a co-branded whitepaper with Mastercard. Known for simplifying complex financial content into clear, premium creative and for building modular frameworks and CMS-based systems that scale across websites, landing pages, and large asset libraries in a fully remote workflow.”

“Robotics simulation/localization engineer who built a lunar crater navigation stack in ROS/ROS2 and Gazebo, including custom localization/perception/planning packages. Demonstrated strong debugging skills by using tf2 frame analysis to fix camera-to-base_link alignment, cutting heading error from 75° to 0.48°, and handled large NASA lunar imagery (~4GB) by converting/downsampling data for Gazebo.”

“Backend engineer with research and industry experience building data-intensive systems for healthcare and IoT. Built Python/Flask/FastAPI services with real-time ingestion and ETL into relational databases, emphasizing data quality, performance tuning, and secure access controls (JWT, RBAC, row-level filtering). Notably caught hardware-driven sensor anomalies others missed and implemented quarantine/alerting to prevent bad data from corrupting analytics.”

“Performance marketer currently running paid media for Network Glasses, managing a $50K+/month budget (heavily weighted to Google) and focused on conversion/in-app event goals. Reports driving a ~50% reduction in cost per purchase conversion through disciplined creative testing, funnel analysis, and bidding/CPA optimization across Google, Meta, and TikTok.”

“Frontend engineer focused on high-scale React + TypeScript dashboards, including an internal Instagram creator/agency analytics dashboard handling extremely large datasets (1–2TB) with virtualization and performance profiling to maintain ~60fps UX. Experienced in modern state management (Redux Toolkit/RTK Query), modularizing legacy codebases into shared component libraries (Storybook), and shipping fast with feature flags plus automated QA (Playwright/Selenium).”

“Internship experience at Paycom owning an end-to-end personalized course recommendation feature for an LMS, spanning SQL-based data pipelines, ML integration, and FastAPI REST services for real-time recommendations. Focused on production tradeoffs (latency vs. accuracy), scaling/SQL optimization, and post-launch iteration driven by engagement metrics.”