Vetted Google Gemini Professionals

Deeptanshu Patel

Screened

Intern Software Engineer specializing in LLM security and automation

Plano, TX0y exp

“Built and shipped a production LLM safety-testing agent using Gemini with support for running multiple LLMs, focused on fast (<5s) execution and clear failure-mode reporting. The tool helps smaller companies evaluate whether their LLMs respond safely by grading outputs and tuning scoring consistency.”

“Multidisciplinary visual/motion designer who blends AI-assisted music and image tools (e.g., Suno, Midjourney, Firefly) with editing/motion workflows to build sensory, beat-synced ad narratives. Has experience turning dense financial reporting (Marshall Amp annual report) into poster-like, fan-friendly editorial design, and applies research-driven branding frameworks (including extensive logo iteration) for a smart-eating project.”

“Built and deployed a production AI-powered personalized learning platform (Django + FastAPI) featuring an LLM+RAG tutoring assistant and automated grading. Demonstrates strong applied LLM reliability engineering (structured JSON outputs with Pydantic validation, hallucination control via FAISS-based RAG thresholds and refusals) plus scalable async microservice design and Airflow-orchestrated ETL across AWS/GCP.”

“Backend/DevOps-leaning engineer who has owned a Python serverless platform on AWS (Lambda, DynamoDB, Step Functions), including complex multi-step business workflows with transaction-based consistency and robust failure handling. Also supported an on-prem SQL to Azure Data Lake migration by building and monitoring Python + Azure Data Factory ETL pipelines, and led GitOps-style CI/CD automation with GitHub Actions (tests, security scans, automated deployments).”

“Backend engineer at PlatePost who built an AI-driven food pairing/recommendation feature for restaurants using Google Gemini, shipping quickly by caching results with a 24-hour refresh and manual override. Emphasizes practical reliability/security patterns (logging, error handling, tenant-scoped queries) and proactively caught an accessibility issue via screen reader testing.”

Metin Bicaksiz

Screened

Senior Full-Stack Developer specializing in web applications and microservice security

BC, Canada21y exp

“Product-minded frontend engineer/PM hybrid who led an LMS end-to-end using Next.js, including JWT auth and security validation with OWASP ZAP. Built AI features such as an LMS AI Tutor and a personal React+TypeScript movie recommender that lets users choose between Gemini and OpenAI models, with Redux Toolkit used for global state and smooth UX iteration in short sprints.”

Kathan Patel

Screened

Mid-level Generative AI Developer specializing in Python and LLM applications

5y exp

“Currently working on Kavia AI, an end-to-end AI coding platform that lets users generate enterprise applications from prompts and existing codebases via SCM integrations. The candidate has hands-on experience across the GenAI stack—prompt engineering, LangGraph-based multi-agent orchestration, RAG, knowledge graphs, FastAPI, and AWS monitoring—with a focus on making software creation accessible to non-technical users.”