Vetted Google Cloud Platform Professionals

Pre-screened and vetted.

MN

Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation

Chicago, IL7y exp
MO
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JR

Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3

Toronto, Canada10y exp
Bittensor
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NJ

Senior AI/ML Engineer specializing in Generative AI and LLMOps

Washington, DC10y exp
Clarion Tech
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Kruti Mehta - Mid-level Software Engineer specializing in backend systems and FinTech analytics in Maryland, USA

Kruti Mehta

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend systems and FinTech analytics

Maryland, USA5y exp
Rose Financial SolutionsGeorge Mason University

Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.

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RF

Ramon Felipe Ferreira

Screened ReferencesStrong rec.

Senior Software Engineer specializing in game development and multiplayer systems

Burnaby, Canada9y exp
Autoverse StudiosUniversidade Positivo

Game developer with hands-on experience shipping Unity/C# systems across live ops, multiplayer, AI-driven gameplay, and cross-platform VR/mobile optimization. Particularly notable for building a data-driven live events pipeline for Tomb Raider Reloaded that empowered non-developers and cut release turnaround from days to roughly 50 minutes across four store variants.

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Snigdha Reddy Podduturi - Junior Data & AI Engineer specializing in cloud AI and analytics in Remote

Snigdha Reddy Podduturi

Screened ReferencesStrong rec.

Junior Data & AI Engineer specializing in cloud AI and analytics

Remote3y exp
Lightning MindsUniversity of Massachusetts Lowell

Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.

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VP

Vikesh Patel

Screened ReferencesStrong rec.

Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps

Eagan, MN8y exp
Intertech, Inc.Metropolitan State University

ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.

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JS

Joseph Seger

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in real-time 3D, AR/VR, and game engines

Los Angeles, CA12y exp
ImmersicomUniversity of Colorado Denver

Unity gameplay engineer with hands-on ownership across core game systems, multiplayer, AI/LLM integration, and cross-platform XR/mobile shipping. Particularly compelling is their combination of deep runtime optimization and systems architecture: they cut match-3 cascade frame spikes by 40-50%, eliminated a class of production race-condition bugs, and also built a local-model FastAPI-backed AI prototype with structured evaluation and cost control.

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SR

Swapnil Ramanna

Screened ReferencesModerate rec.

Mid-level Data Scientist specializing in Generative AI and Healthcare Analytics

3y exp
AdvocateIndiana University-Purdue University

Built a LangGraph-based, tool-routing LLM chatbot to deliver fast, trustworthy investment-stock insights (including tariff impact) and deployed it to production on Snowflake after initially developing in Azure with AI Search and the Microsoft Agent Framework. Improved routing robustness by moving from LLM-based decisions to a deterministic router backed by schema-relationship graphs and YAML metadata, and ran the project iteratively with non-technical stakeholders over an 8-month engagement.

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Nobin Johnson - Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development in Buffalo, NY

Nobin Johnson

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development

Buffalo, NY4y exp
SlizzrCanisius University

Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.

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HS

Helly Shah

Screened ReferencesModerate rec.

Junior Data Analyst specializing in business analytics and machine learning

New York, NY2y exp
Handshake AI Solutions, LLCBaruch College (CUNY)

Analytics-focused candidate with hands-on project experience in SQL data preparation and Python-based churn modeling. They demonstrated a practical approach to turning messy multi-source data into reporting tables, validating data quality rigorously, and translating churn insights into targeted retention strategies.

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HD

Hedrick David

Screened ReferencesModerate rec.

Senior Game Developer specializing in Unity, multiplayer, and VR

Taguig, Philippines15y exp
Bit Planet Games East Inc.De La Salle University

Unity/VR engineer with nearly 15 years of experience, specializing in multiplayer architecture, cross-platform systems, and developer tooling. He built and shipped a reusable Unity Netcode-based multiplayer stack with authentication, matchmaking, Vivox voice chat, and custom host migration that reportedly improved development speed by 70% to 80%, and has also supported releases across Meta Quest, consoles, and mobile-related ecosystems.

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Žarko Petrović - Director-level Unity Engineer specializing in multiplayer, WebGL/WebGPU, and XR in Stockholm, Sweden

Žarko Petrović

Screened ReferencesModerate rec.

Director-level Unity Engineer specializing in multiplayer, WebGL/WebGPU, and XR

Stockholm, Sweden15y exp
CoSocietyUniversity of Belgrade

Lead Unity engineer who shipped a Meta Quest VR free-to-play poker title, tackling hand-tracking controls, physics-driven chip interactions, and large-room multiplayer with anti-cheat needs. Also independently built a mobile real-time multiplayer racing game through beta, including backend, progression, on-demand track delivery, and a custom car physics engine.

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SS

Sawyer Sweet

Screened ReferencesModerate rec.

Mid-Level Full-Stack Developer specializing in civic tech and data-driven web apps

6y exp
LawBee

Built and owned an end-to-end Python/Postgres job-tracker backend that scrapes job postings (including LinkedIn) using Selenium-driven real-browser automation, with deduplication and data-quality filtering. Has practical experience migrating deployments from DigitalOcean to Vercel and emphasizes documentation, roadmapping, and testing as part of an iterative delivery cycle.

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MK

Senior Full-Stack Developer specializing in scalable web platforms and AI security

London, UK11y exp
Standing on GiantsLebanese International University

Backend/data engineer experienced building enterprise community-platform services for high-traffic global clients, using Python (FastAPI/Django) on Docker/Kubernetes with PostgreSQL/Redis. Has delivered AWS EKS + Terraform/CI-CD deployments with strong security practices (Secrets Manager/SSM, IAM/IRSA) and has hands-on ETL (AWS Glue), legacy modernization, and incident ownership with measurable performance gains (~30% faster queries).

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SS

Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems

Palo Alto, CA5y exp
LemmataUniversity at Buffalo

Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.

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RK

Rakesh Kumar

Screened

Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE

3y exp
XebiaUniversity of Central Missouri

Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.

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JG

Joe Greaney

Screened

Senior C# / Unity Developer specializing in immersive AR/VR and cloud-integrated systems

8y exp
Wren KitchensUniversity of Hull

Unity/C# developer with hands-on Meta Quest shipping experience from Wren Kitchens, building a VR kitchen scale visualiser and solving tricky URP/HDRP cross-pipeline rendering issues by creating internal shader/asset management utilities. Also has solo Unity game experience including an Android/Google Play release and game jam prototyping, plus side-project work using Python/PyTorch for predictive modeling.

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SP

Mid-level Software Engineer specializing in full-stack development, data engineering, and GenAI

Portland, OR3y exp
Portland State UniversityPortland State University

Built and deployed an LLM product called "Content Craft" combining BART-based summarization with a RAG Q&A chatbot using LangChain, embeddings, and a vector database. Has hands-on MLOps experience containerizing and serving models with FastAPI and running them on Kubernetes with monitoring, self-healing, and autoscaling, and has practical experience reducing hallucinations through structured prompting.

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AK

Ajith Kumar

Screened

Mid-level AI Data Engineer specializing in GenAI, RAG, and cloud data pipelines

Irving, TX5y exp
Mouri TechGeorge Mason University

LLM/agentic AI builder who deployed a production ITSM automation agent on Google ADK integrating ServiceNow and FreshService, with strong safety guardrails (human-approval gating and runbook-only command execution) and rigorous evaluation (500 synthetic tickets; 80%+ false-positive reduction). Also partnered with finance to deliver an AI agent that automated invoice/SOW retrieval and monthly reporting to account managers, reducing manual back-and-forth.

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LS

Mid-level AI Engineer specializing in Generative AI and LLM systems

Grand Ledge, MI3y exp
ChainSysUniversity of Michigan-Dearborn

Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.

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VM

Mid-level Full-Stack Java Engineer specializing in Generative AI and cloud microservices

Farragut, TN4y exp
Southeast BankLindsey Wilson College

Full-stack engineer who has delivered production customer analytics/dashboard features using Next.js App Router + TypeScript on the frontend and Java Spring Boot microservices on the backend. Demonstrates strong production ownership (monitoring latency/error rates/adoption) plus hands-on performance work across React rendering and Postgres query/index optimization, and has implemented Temporal-like durable workflows with retries and idempotency.

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Jaxon Repp - Executive Technology Leader specializing in distributed systems and multi-cloud infrastructure in Denver, Colorado, United States

Jaxon Repp

Screened

Executive Technology Leader specializing in distributed systems and multi-cloud infrastructure

Denver, Colorado, United States9y exp
YETIColorado State University

Early-stage builder who blends deep technical product work with go-to-market execution: created developer-focused platform tooling (Rust/Node/React) and at Harper moved from customer success into sales/partnerships, leading an Akamai partnership that ultimately helped close Walmart. Currently building a distributed application platform in Rust and iterating on macro-based abstractions to make Rust feel as approachable as Node.js; has not yet closed a seed round and is seeking a trusted operator counterpart.

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