Vetted JWT Professionals

Pre-screened and vetted.

KG

Senior Unity & Full-Stack Engineer specializing in VR/XR and multiplayer systems

Pittsburgh, PA9y exp
AccentureAlderson Broaddus University
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SS

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

Remote, United States5y exp
AIGUniversity at Buffalo
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FK

Senior Full-Stack Software Engineer specializing in scalable web platforms and ML systems

Holbrook, NY8y exp
EWS NetworksStony Brook University
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AJ

Staff Full-Stack Engineer specializing in AI agents and cloud platforms

Boston, MA12y exp
Beacon HillUniversity of Minnesota
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VV

Mid-level Software Engineer specializing in cloud-native microservices and Healthcare IT

Kansas City, MO4y exp
OptumUniversity of Missouri
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RP

Mid-level Software Engineer specializing in backend, DevOps, and cloud infrastructure

Lowell, MA4y exp
Magna InternationalNortheastern University
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BV

Senior AI/ML Engineer specializing in RAG systems and MLOps on AWS

Aurora, IL5y exp
First Centennial Mortgage
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RD

Senior Full-Stack Engineer specializing in web, mobile, and cloud applications

Broken Arrow, OK15y exp
Asemio
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AN

Senior .NET Developer specializing in cloud-native microservices and modern web apps

Cincinnati, OH9y exp
First Financial Bank
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SR

Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS

Manassas, VA8y exp
Triple Crown
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AR

Senior Full-Stack Python Engineer specializing in scalable web apps and APIs

Manassas, Virginia8y exp
Manpower
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MR

Mid-level Frontend/MERN Stack Developer specializing in scalable web applications

Austin, TX6y exp
Glorium Technologies
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MR

Mid-Level MERN Stack Developer specializing in full-stack web applications

Austin, TX6y exp
Glorium Technologies
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Rangel Koli - Entry-level Software Engineer specializing in backend and cloud systems in New York City, NY

Rangel Koli

Screened

Entry-level Software Engineer specializing in backend and cloud systems

New York City, NY1y exp
HereAfter Inc.Syracuse University

Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.

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LG

Mid-level Full-Stack Engineer specializing in cloud-native Java microservices

TX, USA4y exp
CitiusTechUniversity of North Texas

Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.

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Mark Wlodawski - Senior Unity Developer specializing in AI/LLM systems and multiplayer VR in Orlando, FL

Senior Unity Developer specializing in AI/LLM systems and multiplayer VR

Orlando, FL11y exp
AquentUniversity of Memphis

Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).

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YP

Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems

Remote, United States6y exp
DoubleneGeorge Mason University

Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.

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Elliot Huscher - Director-level FinTech and Product Leader specializing in AI recruiting and iOS voice apps in Sacramento, CA

Director-level FinTech and Product Leader specializing in AI recruiting and iOS voice apps

Sacramento, CA8y exp
HuberbroCal State Long Beach

Built a production voice-first fitness coaching/logging system ("Hey Coach") that routes headphone audio, transcribes speech, and uses LLMs to parse workouts into structured data with human-in-the-loop QA and A/B-tested improvements. Also brings a commercial background: led capital markets at a Series A fintech securing $250M+ in commitments and drove early GTM at WorkHQ.com, landing its first Fortune 500 customer.

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JM

Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT

AZ, USA4y exp
CognizantNorthern Arizona University

Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.

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AR

Mid-level Software Engineer specializing in FinTech and AI/ML

Los Angeles, CA4y exp
California State University, Long Beach Research FoundationCalifornia State University, Long Beach

Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).

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