Vetted Authentication Professionals

Pre-screened and vetted.

SB

Full-Stack Java Developer specializing in React and HR web applications

Plano, TX4y exp
JPMorgan ChaseAuburn University at Montgomery
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KR

Mid-level Full-Stack Software Developer specializing in Django/React and cloud-native systems

CA, USA5y exp
TeladocCalifornia State University, Los Angeles
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JS

Junior Software Engineer specializing in platform operations and secure authentication

Austin, TX3y exp
Charles SchwabUC Santa Barbara
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VR

Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems

NJ, USA5y exp
JPMorgan ChaseConcordia University Wisconsin
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DM

Senior Software Engineer specializing in full-stack web apps and LLM/RAG systems

Raleigh, NC6y exp
OpenPRA OrgNorth Carolina State University
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SA

Mid-level Full-Stack Java Developer specializing in cloud microservices and React

5y exp
Eli LillyUniversity of Central Missouri
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SP

Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems

Atlanta, GA5y exp
Juniper NetworksAuburn University at Montgomery
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MS

Mid-level Java Full-Stack Developer specializing in enterprise web applications

USA4y exp
AccentureWilmington University
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NP

Junior Full-Stack Software Engineer specializing in applied AI/LLM systems

USA2y exp
IBM
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MA

Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms

Austin, TX11y exp
KIBO
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DT

Junior Full-Stack Developer specializing in React and Node.js

Bogotá, Colombia2y exp
Zemoga
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SK

Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development

New York, NY6y exp
Morgan Stanley
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BK

Bhuvaneswari Kudaravalli

Screened ReferencesStrong rec.

Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs

Portland, OR5y exp
Portland State UniversityPortland State University

Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.

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Preethi Bandari - Mid-level Full-Stack Developer specializing in scalable web applications in Memphis, TN

Preethi Bandari

Screened ReferencesStrong rec.

Mid-level Full-Stack Developer specializing in scalable web applications

Memphis, TN5y exp
MetLifeUniversity of Memphis

Developer who uses AI tools pragmatically to accelerate coding while keeping full ownership of system design and decision-making. Emphasizes rigorous review, testing, and alignment with architecture, security, and performance standards, and stays current on AI through both industry sources and hands-on experimentation.

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Timothy Flechtner - Executive Technology & Product Leader specializing in games, platforms, and real-time systems

Timothy Flechtner

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in games, platforms, and real-time systems

23y exp
Night Street GamesUniversity of Wisconsin–Madison

Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.

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Rathi Anand - Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications in Dublin, CA

Rathi Anand

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications

Dublin, CA17y exp
State Compensation Insurance FundCollege of Engineering, Guindy (Anna University)

AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.

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EY

Esther Young

Screened ReferencesStrong rec.

Executive Operations Leader (Chief of Staff/COO) specializing in scaling startups and healthcare programs

New York, NY16y exp
Cerebral Palsy FoundationUniversity of Auckland

Operations/program leader with experience supporting CEOs and scaling organizations through rapid expansion and multi-team initiatives. Implemented RACI + Asana-based execution systems and built board/KPI reporting cadences that improved executive decision speed and visibility across departments. Has worked across startups and in a foundation environment in C-suite-adjacent roles.

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SS

Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals

Columbus, OH5y exp
Molina HealthcareIllinois Institute of Technology

Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.

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