Vetted REST APIs Professionals

Pre-screened and vetted.

PS

Senior Software Engineer specializing in cloud-native data platforms

6y exp
EParts ServicesCarnegie Mellon University
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AG

Intern AI/ML Engineer specializing in generative AI and multimodal agentic systems

Boston, MA1y exp
NTT DATANortheastern University
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SS

Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems

Seattle, WA6y exp
UberUniversity of Texas at Arlington
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SS

Senior Backend Software Engineer specializing in FinTech and distributed systems

New York, NY9y exp
CompassNYU
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BA

Senior AI/ML Engineer specializing in ML infrastructure and conversational AI

10y exp
uShipFlorida International University
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JR

Senior Full-Stack Engineer specializing in cloud-native SaaS platforms

Remote, USA12y exp
TrimbleFoothill College
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ZW

Senior Software Engineer specializing in distributed systems and cloud platforms

Plano, TX8y exp
JPMorgan ChaseRochester Institute of Technology
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SG

Mid-level Backend Engineer specializing in distributed systems and FinTech

USA6y exp
AmazonUniversity at Buffalo
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MD

Senior Backend Engineer specializing in Python and AWS cloud-native systems

Vancouver, WA13y exp
DeloitteWashington State University Vancouver
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SC

Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows

USA6y exp
Kimber HealthStony Brook University
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BS

Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM

Cleveland, Ohio16y exp
ProcoreCleveland State University
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AM

Mid-level Full-Stack Developer specializing in microservices and AWS DevOps

Seattle, WA5y exp
JPMorgan ChaseCleveland State University
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MW

Senior Software Engineer specializing in cloud platforms and real-time collaboration

Remote13y exp
QuipMichigan Technological University
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HK

Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare

Miami, FL5y exp
CitadelLindsey Wilson College
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VA

Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities

Austin, TX6y exp
IBMUniversity of North Texas
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WK

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

Dallas, TX10y exp
JetBlueGeorgia Tech
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TP

Senior Software Engineer specializing in AI-powered backend and data platforms

San Francisco, CA10y exp
Komodo HealthUniversity of Texas at Austin
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DV

Senior Software Engineer specializing in cloud backend systems and LLM-powered agents

Seattle, WA5y exp
AmazonSan José State University

Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.

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KS

Karan Shah

Screened

Mid-level Software & Robotics Engineer specializing in autonomous systems and ROS 2

USA3y exp
Boston DynamicsUniversity of Texas at Arlington

Robotics software engineer focused on production-grade autonomy in GPS-denied environments, building full navigation stacks (perception, EKF/UKF sensor fusion, planning, control) in ROS2. Integrated YOLOv8/semantic segmentation/RL policies into real-time NAV2 pipelines via a custom perception-aware costmap layer, with emphasis on deterministic control loops, embedded GPU performance, and robust system observability/fault tolerance.

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NS

Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics

Sunnyvale, CA6y exp
AmazonIndiana University Bloomington

React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.

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