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Vetted Database Schema Design Professionals

Pre-screened and vetted.

LL

Ling Lok Ngai

Screened

Mid-level Backend Software Engineer specializing in search infrastructure and AWS microservices

Fremont, CA6y exp
AmazonInternational Technological University

Search/backend engineer with hands-on experience improving Apache Solr-based search systems end-to-end (indexing strategy changes, ETL updates, and Java/Spring Boot Search API work). Demonstrated production rigor with QA partnership, A/B testing, and rollback-safe kill switches, plus measurable product impact (e.g., +1.5% add-to-cart) and operational troubleshooting including traffic/security mitigation.

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ZP

Junior AI Engineer specializing in agentic systems, LLM evaluation, and RAG

San Mateo, CA1y exp
CybertinolabUC San Diego
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BW

Senior QA Analyst specializing in video game testing and build verification

San Diego, CA12y exp
PlayStationColeman University
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RV

Mid-level Full-Stack Java Developer specializing in FinTech trading platforms

New Jersey, USA5y exp
BarclaysNorthwest Missouri State University
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SS

Intern Software Engineer specializing in AI, distributed systems, and industrial automation

Toronto, Canada2y exp
TeslaMcMaster University
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MC

Mid-Level Full-Stack Software Engineer specializing in React/TypeScript and backend APIs

New York, New York4y exp
HalalMappersApp Academy
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YM

Senior Full-Stack Engineer specializing in SaaS, data platforms, and mobile apps

Milan, Italy7y exp
BIOS FUERTEVENTURAUniversity of Milan
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NA

Mid-Level Full-Stack Software Engineer specializing in cloud-native web applications

6y exp
AppleUniversity of Central Missouri
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AM

Mid-level Full-Stack Developer specializing in cloud microservices for healthcare and payments

4y exp
Elevance HealthUniversity of South Florida
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VY

Mid-level Full-Stack Engineer specializing in FinTech and payments

New York, NY4y exp
CitibankWilmington University
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AT

Mid-level Data Engineer specializing in cloud data pipelines and real-time streaming

Riverwoods, Illinois5y exp
DiscoverUniversity of Central Missouri
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MP

Mid-Level Software Engineer specializing in backend and full-stack systems

Frisco, TX4y exp
UberIllinois Institute of Technology
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VL

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

USA5y exp
Capital OneStevens Institute of Technology
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LS

Mid-Level Full-Stack Software Engineer specializing in Java/Spring and .NET

Dallas, TX3y exp
Goldman SachsUniversity of Texas at Arlington
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HL

Director-level Engineering Leader specializing in consumer web/mobile and AI-driven optimization

San Francisco Bay Area, CA26y exp
HippoBeijing University of Posts and Telecommunications
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VJ

Mid-level AI/ML Software Engineer specializing in backend and MLOps on AWS

6y exp
UberOld Dominion University
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SK

Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring

Chicago, IL4y exp
BectranPurdue University
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HK

Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS

Frisco, TX4y exp
UberUniversity of Texas at Arlington
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SA

Junior Backend/Full-Stack Software Engineer specializing in cloud and Web3

Remote, New York1y exp
ZenZieeUSC

Backend-focused engineer who built a hackathon trading vault (AntiSwan) integrating the Polymarket CLOB client and applying the Kelly Criterion for allocation decisions. In an internship at StartupU, owned pre-launch monitoring by building Azure dashboards and Terraform/KQL-driven alerts with Microsoft Teams webhook routing, and previously automated a DynamoDB cross-region migration with integrity checks.

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AD

Aarati Dulal

Screened

Senior Full-Stack Java Engineer specializing in cloud-native microservices

Dallas, TX6y exp
Goldman SachsAvila University

Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).

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