Vetted Node.js Professionals

Pre-screened and vetted.

IT

Software Engineering Manager specializing in FDA-compliant medical device software

San Jose, CA16y exp
Imrooj LLC
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SP

Mid-level DevOps & Platform Engineer specializing in Kubernetes and AWS infrastructure

La Jolla, CA6y exp
Altium
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MA

Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms

Matamoras, Pennsylvania9y exp
Weston Chase
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SS

Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems

6y exp
Bank of America
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KM

Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS

Brampton, Canada16y exp
Chordline
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EB

Senior Software Engineer specializing in backend, full-stack, and AI systems

New York, NY9y exp
Iris.ai
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SP

Senior Frontend Engineer specializing in scalable web platforms

Pleasanton, CA15y exp
Men's Wearhouse
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BM

Senior Customer Success Manager specializing in Technical B2B SaaS

San Francisco Bay Area, CA7y exp
Nimble
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SK

Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React

Chicago, Illinois11y exp
Capital One
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AZ

Senior Full-Stack Engineer specializing in scalable web apps and API architecture

United States8y exp
Trinetix
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AR

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

Oregon, USA5y exp
Salesforce
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RG

Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms

Orlando, FL10y exp
HD Supply
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MS

Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms

San Diego, CA9y exp
MedImpact
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KR

Senior AI Python Engineer specializing in Generative AI and MLOps

San Francisco, CA8y exp
Silicon Valley Bank
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SP

Senior Full-Stack Developer specializing in cloud microservices and enterprise applications

Columbus, OH9y exp
Huntington Bank
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Harshini Kanamathareddy - Mid Software Engineer specializing in iOS, backend systems, and AI-powered applications in Hyderabad, India

Harshini Kanamathareddy

Screened ReferencesModerate rec.

Mid Software Engineer specializing in iOS, backend systems, and AI-powered applications

Hyderabad, India4y exp
EntainSan Jose State University

Full-stack/backend engineer with experience spanning React/TypeScript, Flask, Spring Boot, SQL databases, and production mobile optimization. They’ve shipped features end to end, improved query performance and app startup/crash metrics, and helped drive a configuration-driven architecture that enabled faster releases across 30 consumer applications.

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AR

Aniruddha Rajnekar

Screened ReferencesModerate rec.

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

Raleigh, NC5y exp
NC State UniversityNorth Carolina State University

Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.

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HN

Harika N

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in VR simulation and full-stack development

Bowling Green, OH4y exp
Bowling Green State UniversityBowling Green State University

Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.

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Bill Cheng - Director-level Engineering Leader specializing in SaaS platforms and AI systems in Remote, USA

Bill Cheng

Screened ReferencesStrong rec.

Director-level Engineering Leader specializing in SaaS platforms and AI systems

Remote, USA26y exp
Foreclosure Listing Deep AnalysisSouthern Illinois University Carbondale

Entrepreneurial candidate building an LLC focused on applying AI to improve call center customer service, with an early go-to-market focus on local government call centers. They are already in discussions with a government prospect and have a clear thesis around solving high turnover and low knowledge retention through AI-assisted training and support systems.

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SB

Swaraj Bhalerao

Screened ReferencesStrong rec.

Mid-level Full-Stack Developer specializing in backend-heavy web applications

NJ, USA4y exp
ReliaQuestStevens Institute of Technology

Backend/full-stack engineer who has built AI-powered search and workflow systems in production, including a semantic resume-matching platform for recruiters and internal security data dashboards at ReliaQuest. Stands out for combining modern AI tooling with pragmatic reliability, performance tuning, and strong product intuition in ambiguous environments.

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Vincent Fearing - Junior Full-Stack Engineer specializing in FinTech systems in Austin, TX

Vincent Fearing

Screened ReferencesModerate rec.

Junior Full-Stack Engineer specializing in FinTech systems

Austin, TX1y exp
TasksuiteCal State Northridge

Full-stack engineer with deep experience in high-stakes integrations: owned end-to-end fintech payment notification/installment tracking at an early-stage startup (FastAPI/React/AWS), including multi-environment routing for live banking partners and reliability patterns like idempotency and retries. Also built a Coachella partner ticketing platform (React/TS/Node/Postgres) with strong concurrency controls and zero-downtime migrations, and previously delivered media-asset ETL/file-sharing automation at Sony Pictures using Frame.io with checksum-verified transfers.

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KB

Kristin Blier

Screened ReferencesModerate rec.

Senior Geospatial Software Engineer specializing in 3D simulation environments

Gilbert, AZ19y exp
MVRsimulationArizona State University

Geospatial/simulation specialist who built and shipped high-fidelity 3D visual databases for a DoD-used simulation/render engine, owning the full pipeline from dataset selection and ingestion (imagery/LiDAR/OSM/elevation) through performance testing and delivery. Implemented Python-based AI scripts to auto-detect terrain features and drive automated 3D scene population, and has experience with authoritative client-server synchronization (DIS) plus VR headset performance constraints (Varjo/Oculus/HoloLens at 90Hz).

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