Vetted Cloud Computing Professionals

Harshit Vashisth

Screened

Junior AI Engineer specializing in LLMs, RAG systems, and MLOps

Remote, United States1y exp

“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”

Ethan Martin

Screened

Senior Unity Developer specializing in desktop and XR simulation apps

Remote4y exp

“Unity/C# developer who built and continues to evolve a data-driven product configuration system for complex medical equipment—reverse-engineering undocumented, massive databases and generating 3D configured products with extensive rules—helping users (e.g., hospital sales workflows) save time and support increased sales. Also built an internal LLM-powered debugging assistant using structured Unity/backend telemetry and has hands-on Unity Netcode experience in smaller multiplayer prototypes.”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

Daniel Manalu

Screened

Junior QA Tester specializing in banking and e-commerce applications

Surabaya, Indonesia1y exp

“Background in banking and e-commerce applications, positioning as an adaptable learner pivoting toward console game QA. Proactively self-studying platform certification requirements (Sony TRCs, Microsoft XR, Nintendo LOT) and uses AI tools (ChatGPT/DeepSeek/Claude) as a quality check to strengthen QA documentation.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”

Mohammed Elwaei

Screened

Junior Software Engineer specializing in systems, AI, and research

Tampa, FL2y exp

“Engineering student with hands-on robotics and simulation experience: led an Arduino line-following “Batmobile” robot project used as a K–12 teaching tool and won best design in a 100+ student section. Also implemented SARSA reinforcement learning for a 16-DOF robotic hand in MuJoCo, optimizing the state representation to train efficiently on a CPU, and brings strong cloud/container skills (Docker, Kubernetes, AWS certs).”

“Built a Smart Resume Screening tool with a React frontend and a Python backend, owning most backend architecture and delivery. Implemented FastAPI endpoints for file upload and NLP/ML inference, created the end-to-end resume classification pipeline, logged predictions to a database for accuracy tracking, and deployed a Dockerized service optimized for low-latency, concurrent processing.”