Vetted Google Gemini Professionals

“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”

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.”

“Paid media specialist experienced managing high-spend accounts across Google, Meta, and LinkedIn with a focus on qualified lead generation at controlled CPA. Uses a disciplined testing and scaling framework (tracking via GA4/GTM, learning-phase completion, CPA/ROAS guardrails) and has driven a reported ~40% CPA reduction by auditing attribution/funnel issues and restructuring campaigns.”

“Fullstack engineer with a strong serverless/AWS and applied AI profile, having built document-upload-to-RAG chatbot systems using Bedrock/Titan as well as a production fintech reporting platform. Particularly compelling for teams needing a zero-to-one builder who can own architecture, frontend, backend, and user-informed product delivery; one recent product reached 100+ student users within 48 hours of launch.”

“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”

Ali Moghadam

Screened

Mid Frontend Developer specializing in React, Next.js, and e-commerce web apps

Remote, Iran4y exp

“Frontend engineer focused on complex browser-based UIs, with hands-on ownership of a real-time e-commerce chatbot in Next.js/TypeScript and performance-critical cinema booking flows. Stands out for combining real-time architecture, browser-level performance debugging, and pragmatic UX improvements that make high-traffic interfaces faster, more reliable, and easier to maintain.”

“University student Unity developer with hands-on Meta Quest VR experience from an internship (AZSIMX), including full-body XR rig troubleshooting and animation work on a Parachute Simulator. Also built and published a mobile 3D racing game to Google Play with local split-screen multiplayer, and currently co-developing a game (Motorburn) while using Google Gemini to optimize performance.”

“Software engineer actively using AI-first development workflows, including Cursor, prompt engineering, and multi-agent setups, to dramatically compress development time. Most notably, they say they built a Regression Optimizer product end-to-end from scratch and used multi-agent approaches to improve troubleshooting and response quality.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

Minwook Shin

Screened

Junior UX Designer/Developer specializing in web and AI-driven portfolio experiences

1y exp

“Product/UX designer with strong front-end engineering capability who builds and deploys functional prototypes (React, Tailwind, Vercel) and bridges design-to-code via tokenized design systems. Has designed an AI-driven e-commerce fit/3D scanning experience (progressive disclosure, stress-map feedback) and is currently digitizing mass-casualty incident triage with haptics and spatially consistent, non-visual interactions to reduce medic distraction and error under extreme stress.”

Sarang Pratham

Screened

Junior Software Engineer specializing in data engineering and GenAI

Kundapur, India3y exp

“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”

“UI/UX Team Lead who built a design system from the ground up for Find Me (mobile + responsive web), focusing on reusable components, Figma variable-based workflows, and high-fidelity cross-functional handoff. Also designed an AI-driven predictive weather/travel comparison experience that simplifies complex climate data via a comparison model and layered UI, and uses prototyping to validate flows and catch issues early.”

Zain Ul abideen

Screened

Senior digital marketing and creative professional specializing in social media and design

Hyderabad, Pakistan12y exp

“Paid media candidate focused on Google Ads with additional familiarity with Meta and TikTok. They describe managing roughly $40K in ad spend, generating around 50 leads in the first 10-12 days on an initial $4.2K spend, and iterating campaigns over six months through audience, location, keyword, and creative optimization. Seeking a full-time position.”

MARCOS FILHO

Screened

Mid AI/Software Engineer specializing in LLMs, agents, and distributed systems

Recife, Brazil3y exp

“Solo builder focused on backend and AI-driven decision-support products, especially around real estate/tower investment use cases in Dubai and Brazil. Describes hands-on work with PostgreSQL, Redis, crawlers, caching, LLMs, embeddings, and agent-style systems, with an emphasis on shipping end-to-end under ambiguous requirements.”