Vetted gRPC Professionals

Pre-screened and vetted.

RD

Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation

New York, NY11y exp
C8 HealthGeorgia Tech
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AC

Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms

San Antonio, TX11y exp
OptumUniversity of Houston
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ML

Junior Firmware Engineer specializing in embedded–cloud fleet systems

New York, NY2y exp
SamsaraUC Berkeley
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MW

Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems

10y exp
MoveworksRutgers University
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MT

Senior Full-Stack Engineer specializing in payments and commerce platforms

New York City, NY10y exp
StripeUniversity of Texas at Dallas
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MD

Senior Full-Stack Software Engineer specializing in cloud-native microservices

Irving, TX11y exp
CapgeminiBoston University
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JS

Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems

San Francisco, CA9y exp
ZocksDuke University
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KS

Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems

Santa Clara, CA6y exp
NVIDIAUNC Charlotte
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DG

Mid-level Full-Stack Developer specializing in cloud-native microservices

California, USA4y exp
MetaSaint Louis University
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CZ

Senior Full-Stack Engineer specializing in scalable web, cloud, and engagement systems

San Francisco Bay Area11y exp
NewsBreakNYU
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TH

Senior Full-Stack Engineer specializing in cloud-native platforms and distributed systems

Avon, OH, US11y exp
Core ScientificUniversity of California
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BH

Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations

Los Angeles, CA13y exp
West MonroeUniversity of Texas at Austin
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BH

Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms

Dallas, TX13y exp
Kamet Consulting GroupUniversity of Texas at Austin
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JL

Senior Software Engineer specializing in Python, cloud microservices, and conversational AI

Chapel Hill, NC11y exp
GoogleUniversity of North Carolina at Chapel Hill
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ML

Junior Firmware Engineer specializing in embedded-cloud integrations

New York, NY2y exp
SamsaraUC Berkeley
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TM

Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce

San Jose, CA11y exp
AmazonGeorgia Tech
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SY

Mid-level AI/ML Engineer specializing in LLMs, multimodal systems, and MLOps

5y exp
MetaEast Texas A&M University
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JH

Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare

Chicago, IL12y exp
AccenturePurdue University
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AD

Anirudha Deo

Screened

Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms

San Jose, CA23y exp
GoogleNagpur University

Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.

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CK

Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms

Seattle, WA11y exp
MpathicBrown University

Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.

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CC

Senior Backend Engineer specializing in distributed systems and cloud microservices

Beaverton, Oregon11y exp
NikeUC San Diego

Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.

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