Vetted Google Cloud Platform Professionals

Pre-screened and vetted.

KM

Kimberly Michela

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in web apps and developer tools

Toronto, Canada1y exp
Game of StreaksUniversity of Toronto

Frontend engineer who built the full frontend for gameofstreaks.com using React/Next.js with an emphasis on responsive design, accessibility, SEO, and performance profiling. Has experience refactoring legacy HTML/CSS/JS sites into reusable React components and shipping quickly with unit tests, CI/CD, and branch-based deployments; also collaborates with designers in hackathon settings (e.g., an AI interview practice app).

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Emmanuel Ngalima - Mid-Level Software Engineer specializing in geospatial AI and cloud security automation in San Ramon, CA

Emmanuel Ngalima

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in geospatial AI and cloud security automation

San Ramon, CA5y exp
ChevronUC Merced

Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).

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Mounika Nadendla - Senior Data Engineer specializing in cloud data platforms and real-time streaming

Mounika Nadendla

Screened ReferencesStrong rec.

Senior Data Engineer specializing in cloud data platforms and real-time streaming

5y exp
CVS HealthUniversity of Cincinnati

Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.

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Mark Thomas - Director-level software architect specializing in cloud, distributed systems, and healthcare IT in McCalla, AL

Mark Thomas

Screened ReferencesStrong rec.

Director-level software architect specializing in cloud, distributed systems, and healthcare IT

McCalla, AL20y exp
Spacelabs HealthcareJacksonville State University

Startup veteran with experience at seven companies since 2004 and direct exposure to Birmingham's Innovation Depot accelerator through three different startups. Has worked closely with investment teams on MVPs and pitch decks and brings a pragmatic lens to evaluating ventures through need, margins, burn rate, cash position, and sales growth strategy.

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Aldric Pinto - Mid-level AI product and data lead specializing in analytics and healthcare AI in New Haven, CT

Aldric Pinto

Screened ReferencesStrong rec.

Mid-level AI product and data lead specializing in analytics and healthcare AI

New Haven, CT4y exp
MarketMindUniversity of New Haven

Product-minded software engineering lead with a blend of backend, data engineering, cloud observability, and AI product experience. They’ve owned systems end-to-end, from ETL job builders that cut setup time 70% to hybrid-cloud observability workflows that reduced monitoring effort 80%, and also drove an AI marketing feature that improved conversion from 2% to 6%.

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Jayadeep Nukala - Mid-level Software Engineer specializing in enterprise AI and FinTech integrations in San Francisco Bay Area, CA

Jayadeep Nukala

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in enterprise AI and FinTech integrations

San Francisco Bay Area, CA2y exp
KayaUniversity of Texas at Dallas

Built and deployed an enterprise AI testing solution at a startup, then customized and scaled it inside Citigroup over the course of a year to support 40+ projects and 1,000+ daily users. Brings hands-on production experience with multi-agent LLM workflows, RAG, enterprise deployment infrastructure, and real-world incident handling in AI-driven data pipelines.

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AP

Andres Pegado Boureghida

Screened ReferencesStrong rec.

Engineering executive specializing in cloud-native SaaS for data-intensive, regulated domains

Chicago, IL12y exp
Walker & DunlopIllinois Institute of Technology

Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.

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DC

dezhou chen

Screened

Mid-level AI Engineer specializing in LLM systems and GenAI products

Remote, USA4y exp
StealthUniversity of Illinois Urbana-Champaign

AI-focused product engineer working on LLM routing, prompt engineering, and multimodal API integrations at production scale. They describe improving system accuracy, latency, and token usage, fine-tuning an internal model to reduce third-party API dependence, and adding safety guardrails through prompt-injection testing and red-team evaluation.

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John Juszczak - Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines in Los Angeles, CA

John Juszczak

Screened

Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines

Los Angeles, CA10y exp
Starpunch StudiosDePaul University

Gameplay programmer with hands-on Unreal Engine multiplayer shooter experience, notably overhauling aiming/ADS using Enhanced Input and curve-table-driven response curves plus subtle aim assist. Demonstrates strong networking judgment (client-side prediction vs server authority for anti-cheat) and a systems mindset, adding automation/analytics to speed iteration and improve decision-making.

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Nithin Reddy - Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures in Santa Clara, California

Nithin Reddy

Screened

Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures

Santa Clara, California4y exp
Goldman SachsCentral Michigan University

Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.

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Manyuvraj Sandhu - Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments in Calgary, AB

Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments

Calgary, AB4y exp
Dasens AIUniversity of Waterloo

Frontend engineer who has led complex React + TypeScript products end-to-end, including a real-time canvas-based digital signature editor and a multi-step AI workflow dashboard. Demonstrates strong architecture and performance instincts (state machines for streaming async updates, bundle/render optimizations) plus pragmatic shipping practices (feature flags, automated tests, analytics and user interviews), with a quantified impact from refactoring (~30% less duplicated UI code).

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KS

Senior Software Engineer specializing in full-stack distributed systems and AI

Alhambra, CA14y exp
Yes EnergyUC San Diego
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JK

Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems

Jersey City, NJ5y exp
JPMorgan ChaseSaint Peter's University
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Xiaoxiao Lei - Mid-level Software Engineer specializing in FinTech and cloud backend systems in Dallas, TX

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

Dallas, TX4y exp
JPMorgan ChaseUniversity at Buffalo
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SS

Senior Full-Stack Engineer specializing in FinTech and healthcare web applications

Riverwoods, IL5y exp
DiscoverUniversity of Bridgeport
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PK

Senior Data Engineer specializing in multi-cloud data platforms and generative AI

Weston, FL5y exp
UKGUniversity of Alabama at Birmingham
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SS

Senior DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes

7y exp
KrogerUniversity of Dayton
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RR

Mid-level Data Scientist specializing in financial ML, NLP, and MLOps

San Diego, CA5y exp
Morgan StanleySan Diego State University
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MR

Executive product and technology leader specializing in AI, data platforms, and cloud transformation

Los Angeles, CA17y exp
Smart Tech Analytics GroupArkansas State University
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KS

Senior Frontend and Full-Stack Developer specializing in React and FinTech platforms

12y exp
S&P GlobalCalifornia State University, Fullerton
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DJ

Devon Johnson

Screened ReferencesStrong rec.

Executive Cybersecurity & Infrastructure Architect specializing in incident response and resilience

Nashville, TN19y exp
Ceyepher SecurityAustin Peay State University

Founder of pre-revenue cybersecurity startup Ceyepher Security; has already set up lead-intent sourcing, automated pipeline/CRM analytics, and outbound marketing. Plans to raise capital after landing first clients to demonstrate value via revenue, whitepapers, and customer testimonials; interested in studio support to accelerate sales. Mentions a disability that has enabled significant time honing computer science skills and is open to joining innovative work even outside their own company.

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