Vetted Authorization Professionals

Pre-screened and vetted.

SR

Mid-level Software Engineer specializing in FinTech platforms

San Francisco, CA5y exp
StripeAuburn University at Montgomery
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NP

Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs

San Francisco, CA5y exp
MetaConcordia University Wisconsin
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Jyothi Polisetty - Mid-level Full-Stack Developer specializing in cloud-native web applications in Seattle, WA

Mid-level Full-Stack Developer specializing in cloud-native web applications

Seattle, WA5y exp
ShopifySaint Louis University
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RG

Staff Software Engineer specializing in cloud-native microservices for financial platforms

Palo Alto, CA11y exp
JPMorgan ChaseNational Institute of Engineering
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Shanmukha Nayudu - Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines in Overland Park, KS

Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines

Overland Park, KS5y exp
Goldman SachsUniversity of Central Missouri
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NM

Senior Frontend Engineer specializing in scalable web platforms

Waltham, MA14y exp
Ergo NextHarrisburg Institute of Science and Technology
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DN

Mid-level Software Engineer specializing in full-stack systems and AI-enabled workflows

Plano, TX5y exp
AmazonGeorge Mason University
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SK

Mid-level AI/ML Engineer specializing in RAG systems and cloud data platforms

Amherst, MA3y exp
OLISUniversity of Massachusetts
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TA

Senior Software Engineer specializing in FinTech and enterprise platforms

San Francisco, CA9y exp
ChimeCal Poly San Luis Obispo
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AF

Junior Full-Stack Engineer specializing in AI-driven operational automation

New York City, NY2y exp
WalmartPace University
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VA

Mid-Level Full-Stack Java Developer specializing in Spring Boot and Angular/React

Tallinn, Estonia
YouTubeSoftware Development Academy
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NN

Mid-level Software Engineer specializing in scalable backend and cloud-native systems

New York, USA5y exp
MetaUniversity at Buffalo
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VS

Mid-level Backend & Full-Stack Engineer specializing in AWS serverless systems

Hillsboro, OR3y exp
AmazonOklahoma State University
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DG

Senior Software Engineer specializing in distributed systems and cloud-native platforms

USA6y exp
AmazonFlorida Atlantic University
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MC

Mid-Level Software Engineer specializing in cloud-native backend and distributed systems

Toronto, Canada5y exp
Planeri.ioBrainStation
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SS

Senior Software Engineer specializing in full-stack systems and AI automation

USA5y exp
AmazonUniversity at Buffalo
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Abhay Murjani - Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps in New York, NY

Abhay Murjani

Screened

Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps

New York, NY6y exp
American ExpressUniversity at Buffalo

Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.

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Yash Jain - Director-level engineering leader specializing in identity, authentication, and AI security in Mountain View, CA

Yash Jain

Screened

Director-level engineering leader specializing in identity, authentication, and AI security

Mountain View, CA12y exp
IntuitNortheastern University

Engineering leader at Intuit focused on identity, authentication, and security infrastructure for AI integrations in highly sensitive financial workflows. Led a 10-person Tier 1 team, built an AgentIdentity framework across 3 organizations, and helped launch TurboTax/QBO integrations with ChatGPT and Claude while maintaining strict reliability and security standards.

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SB

Sowmya Battu

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native platforms

Greater Seattle Area, WA6y exp
AmazonUniversity of Houston

Amazon experience integrating LLM-powered chat automation into Amazon Connect contact-center workflows, taking prototypes to production with compliance-minded guardrails, schema/policy validation, and robust fallbacks. Regularly supports rollout and adoption via developer workshops, integration guides, and customer calls, with strong production triage and observability practices.

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PJ

Po Jui Lin

Screened

Mid-Level Full-Stack Engineer specializing in cloud platforms, cybersecurity web apps, and IoT

Seattle, WA3y exp
AmazonUniversity of Washington

Backend engineer with experience at Amazon building an API-driven service (APS) for large-scale prompt optimization jobs using AWS Step Functions, Batch/Fargate, DynamoDB, and S3, emphasizing idempotency, observability, and secure execution boundaries. Also led a multi-tenant enterprise policy/configuration backend refactor at MAMIT Cyber with versioned schemas, shadow writes, feature-flagged rollout, and PostgreSQL RLS-based tenant isolation.

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SS

Shubham Singh

Screened

Mid-level Software Engineer specializing in LLM systems and intelligent search

CO, USA6y exp
PalantirSan José State University

Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.

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Cameron Williams - Executive IAM leader specializing in Zero Trust and identity security in Littleton, CO

Executive IAM leader specializing in Zero Trust and identity security

Littleton, CO15y exp
Insight GlobalNorth Carolina State University

Hands-on technical founder building a new startup that is only weeks away from MVP and first design partner acquisition. Previously raised capital for an earlier venture, OverWatchID, and has again secured angel backing plus personal seed investment. Brings accelerator experience (SecureSet and Plug and Play), board-level VC exposure, and a strong track record across the full zero-to-one journey from product vision through early enterprise sales.

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