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Vetted Load Balancing Professionals

Pre-screened and vetted.

FW

Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving

San Pablo, California11y exp
OpenAINorthwestern University
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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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IH

Ilija Hadzic

Screened ReferencesStrong rec.

Principal Robotics & Autonomy Research Engineer specializing in localization and multi-robot navigation

Murray Hill, NJ31y exp
Nokia Bell LabsUniversity of Pennsylvania

Highly experienced robotics software engineer building ROS/ROS2 systems for fleets of autonomous mobile robots (Clearpath Jackal/Husky and custom platforms), spanning localization, navigation, and multi-robot coordination. Has published work at ICRA (including RL-based local planning and heterogeneous robot coordination via a ROS-to-ZMQ bridge) and maintains open-source ROS modules, with strong simulation, debugging, and CI/CD practices.

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AH

Austin Ha

Screened

Senior Software Engineer specializing in AR/VR and real-time interactive systems

Irvine, CA7y exp
AndurilSchool of Engineering and Applied Science, University of Pennsylvania

Senior engineer (8 years) with experience at Facebook/Meta and Apple, spanning design tooling and XR/enterprise device experiences. Built the Origami component marketplace end-to-end (packaging node logic + metadata, SQL/JSON storage, filtering/search, local caching) with versioning and forward-compatibility decisions, and has a strong track record of UX-focused robustness improvements and safe rollouts via feature flags and telemetry.

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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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JD

Senior Software Engineer specializing in distributed systems and high-scale backend platforms

Seattle, Washington8y exp
TikTokUniversity of Washington
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JW

Principal/Senior Architect specializing in AI platforms and cybersecurity

Palo Alto, CA31y exp
ApplePeking 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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UM

Upender Mula

Screened

Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech

San Francisco, CA5y exp
StripeSaint Louis University

Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.

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CL

Senior Backend/Full-Stack Software Engineer specializing in cloud microservices and APIs

New York, NY11y exp
MetaUC Berkeley
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IN

Staff-level Software Engineer specializing in distributed systems and cloud platforms

Dickinson, TX13y exp
WheelUniversity of Texas at Austin
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MX

Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations

Mountain View, CA9y exp
GoogleMcMaster University
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XT

Senior Software Engineer specializing in large-scale distributed cloud systems

Seattle, WA8y exp
AmazonBoston University
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DL

Senior Full-Stack Engineer specializing in streaming, personalization, and AI/ML platforms

Los Angeles, CA11y exp
NetflixUC Berkeley
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KW

Staff Software Engineer specializing in payments, distributed systems, and experimentation platforms

Lakeland, FL12y exp
AirbnbUniversity of Florida
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SM

Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech

CA5y exp
StripeFlorida Institute of Technology
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BR

Senior Software Engineer specializing in distributed systems and cloud infrastructure

Arlington, TX12y exp
NetflixVirginia Tech
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MW

Executive CTO/CDAO specializing in cloud-native platforms, data engineering, and AI security

20y exp
Stealth
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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DS

Senior Full-Stack Software Engineer specializing in cloud, payments, and telehealth

Baltimore, MA13y exp
AmazonUCLA
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JX

Jeffrey Xuzhang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in AWS cloud systems and full-stack web development

Vancouver, Canada2y exp
Amazon Web ServicesUniversity of Waterloo and Wilfrid Laurier University

Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.

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NO

Nicholas Ogura

Screened ReferencesStrong rec.

Executive Platform & Security Engineering leader specializing in multi-cloud Kubernetes and FinTech

San Diego County, USA18y exp
Terrace

Startup-focused infrastructure/security leader who stepped into head of engineering and re-platformed an entire product end-to-end in 3 months to meet launch. In crypto/fintech, recognized the market-data system as an ETL/data product and rebuilt it as a separable, securely accessible platform—prompting inbound interest within a week—while advocating an open-source-first observability stack (Prometheus/Grafana/Loki) to avoid vendor lock-in.

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JM

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

Bay Area, CA5y exp
MetaSoutheast Missouri State University

ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.

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