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Vetted Node.js Professionals

Pre-screened and vetted.

TL

Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems

Boston, MA11y exp
BCGUniversity of Texas at Austin
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ZM

Senior Backend Engineer specializing in cloud-native microservices and real-time streaming

Boston, MA13y exp
Function HealthCornell University
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PG

Engineering Manager specializing in backend platforms, risk systems, and FinTech

Miami, FL17y exp
Giggle FinanceUniversity of Arizona
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US

Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms

Bellevue, WA3y exp
AmazonNortheastern University
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AR

Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML

New York, NY20y exp
Genesis Wealth & Asset ManagementJönköping University
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JH

Mid-Level Software Engineer specializing in data infrastructure and LLM applications

Remote3y exp
H60 ConsultingUniversity of Illinois Urbana-Champaign
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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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SC

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

USA6y exp
Kimber HealthStony Brook University
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AS

Junior Software Engineer specializing in full-stack, cloud, and AI systems

Remote2y exp
AmazonVanderbilt 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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MH

Senior Software Engineer specializing in full-stack web platforms, SEO, and microservices

14y exp
ChewyPenn State University
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YV

Senior Software Engineer specializing in distributed systems and agentic AI platforms

Orlando, FL6y exp
AtlassianNorthwestern 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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SY

Mid-level Backend Software Engineer specializing in AI/LLM microservices

4y exp
RocheUSC
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SK

Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications

6y exp
Fidelity InvestmentsUniversity of Texas at Dallas
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CM

Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization

Tampa, FL17y exp
PwCOregon Institute of Technology

Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.

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SK

Sammed Kamate

Screened

Mid-level Software Engineer specializing in FinTech and AI/LLM systems

3y exp
JPMorgan ChaseUC San Diego

Backend engineer with experience in both regulated healthcare and finance: built a multi-agent RAG system to generate FDA regulatory approval documents for biomedical devices, improving retrieval accuracy via hybrid search (semantic + BM25) and hierarchical chunking. Previously at JPMorgan Chase, led a Java microservice refactor and AWS migration using Elasticsearch-first patterns, caching, and safe rollout strategies (parallel runs, canary, blue-green) in asset/wealth management.

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VP

Vismay Patel

Screened

Senior AI & Machine Learning Engineer specializing in NLP, GenAI, and MLOps

Berkeley, CA7y exp
Kaiser PermanenteSan Francisco State University

ML/GenAI practitioner with healthcare domain depth who built and deployed a production cervical-cancer EMR classification system using a hybrid rules + medical BERT approach, optimized for high recall under severe class imbalance and PHI constraints. Experienced running end-to-end production ML/LLM pipelines with Apache Airflow (validation, promotion/rollback, monitoring, retraining) and partnering closely with clinicians to calibrate thresholds and implement human-in-the-loop review.

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