Vetted MongoDB Professionals

“Frontend engineer focused on scalable React + TypeScript architecture and design-system style reusability, with demonstrated refactoring impact in legacy codebases. Delivered a high-visibility, filterable “Project Showcase” feature in 3 weeks (CMS-integrated, responsive, CI/unit-tested) and has implemented real-time UI updates via WebSockets for chat profile presence.”

“Early-career full-stack developer who has built and deployed learning projects including a school system dashboard with role-based access and a Node/Express message board, then applied that experience to a real restaurant analytics dashboard in development. Uses AI-assisted tools like Cursor to accelerate coding while manually reviewing outputs, and has hands-on experience debugging frontend/backend issues and validating API inputs.”

Tanushree Kakad

Screened

Intern Software Engineer specializing in AI, computer vision, and VR

Remote0y exp

“Robotics software engineer with hands-on experience integrating vision-based perception with control logic in ROS simulation environments. Focused on debugging real-time timing/data-flow issues, improving system stability through incremental scenario testing in Gazebo, and supporting reliable deployments with Docker and basic CI/CD automation.”

“Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.”

“Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.”

Rutvi Rathod

Screened

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

San Jose, CA1y exp

“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”

“Built FlowPilot, an AI-powered product that generates complete importable n8n workflows from natural-language prompts using a RAG pipeline (Qdrant + LangChain) and a multi-stage agent with a scoring/repair 'Judge' loop for intent alignment. Experienced in backend architecture across Laravel/Node microservices and production AI/RAG systems, plus performance debugging from async job offloading to database index tuning after ORM migrations.”

“Frontend-focused UI engineer who has built polished portfolio applications like a SaaS-style sales analytics dashboard and a weather-based clothing recommendation app. Stands out for thoughtful attention to responsive layout behavior, theming consistency, reusable React/TypeScript architecture, and elevating projects from functional prototypes to realistic, production-style user experiences.”