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Vetted Microservices Professionals

Pre-screened and vetted.

AG

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

San Francisco, CA13y exp
GoogleStanford University
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CZ

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

Redwood City, CA12y exp
Fireworks AIUC Berkeley
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SK

Senior Software Engineer specializing in LLM infrastructure and AI inference platforms

New York, NY8y exp
GoogleStanford University
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RW

Russell Wong

Screened ReferencesStrong rec.

Senior Software Engineer specializing in large-scale backend reliability and media platforms

San Bruno, California6y exp
GoogleSan Francisco State University

Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.

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MZ

Max Zhu

Screened

Staff Software Engineer specializing in Cloud Healthcare Data Platforms

Redding, CA13y exp
GoogleUSC

Backend/data engineer with deep healthcare data experience (FHIR, de-identification) across both GCP and AWS. Has built and operated production microservices and ETL pipelines (FastAPI, Dataflow, Glue) with strong reliability practices, and led modernization of a legacy SAS compliance reporting system to cloud services with validated parity and stakeholder-facing Looker comparisons.

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BW

Senior Full-Stack Engineer specializing in Python APIs and cloud platforms

Austin, Texas9y exp
AffirmCornell University
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HK

Hassaan Khan

Screened

Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML

San Francisco, CA21y exp
QuartechCarnegie Mellon University

Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.

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BW

Senior Software Engineer specializing in cloud platforms and healthcare AI

San Jose, CA12y exp
GoogleBrown University
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JS

Staff Software Engineer specializing in FinTech and distributed systems

San Francisco, CA10y exp
GoogleBrown University
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MJ

Staff Software Engineer specializing in large-scale commerce and payments

Austin, TX13y exp
GoogleUniversity of Texas at Austin
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JF

Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability

Remote12y exp
QuoraCarnegie Mellon University
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LT

Senior Full-Stack Engineer specializing in AI platforms and distributed systems

Dallas, TX9y exp
NVIDIAStanford University
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YL

Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems

Mountain View, CA11y exp
DatabricksNYU
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MJ

Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms

Mountain View, CA9y exp
AirtableCaltech
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JL

Senior Full-Stack Engineer specializing in frontend-heavy FinTech and marketplace platforms

Remote9y exp
StripeUniversity of Washington
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TM

Senior Python Developer specializing in FinTech and RegTech payment systems

San Francisco, CA10y exp
StripePrinceton University
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JW

Senior Software Engineer specializing in AI systems and real-time distributed platforms

San Diego, CA10y exp
AirbnbCornell University
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MP

Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data

Berkeley, CA12y exp
GoogleColgate University
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SG

Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference

Bay Area, CA3y exp
OpenAICarnegie Mellon University
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RJ

Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems

Atlanta, GA11y exp
GoogleUniversity of Miami

Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.

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YP

Staff Software Engineer specializing in AI platforms and cloud microservices

Remote11y exp
GoogleCal Poly San Luis Obispo
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