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Vetted Integration Testing Professionals

Pre-screened and vetted.

HL

Junior Software Development Engineer specializing in AWS cloud services and SDN

Sunnyvale, CA2y exp
AmazonUCLA
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JM

Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems

Austin, TX1y exp
ConfluentUniversity of Texas at Austin
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YL

Mid-Level Software Engineer specializing in AWS cloud-native distributed systems

Arlington, VA3y exp
AmazonNYU
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SS

Mid-Level Software Engineer specializing in full-stack development, cloud, and data infrastructure

Reston, VA3y exp
Fannie MaeGeorgia Tech
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GD

Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms

Minnetonka, MN9y exp
UnitedHealth GroupPrinceton University
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RR

Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms

6y exp
JPMorgan ChaseSoutheast Missouri State University
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DS

Mid-level Software Engineer specializing in AWS backend systems and LLM infrastructure

5y exp
AmazonNortheastern University
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EC

Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure

San Francisco, CA12y exp
GustoCal Poly Pomona
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SU

Mid-level Full-Stack Developer specializing in React, Spring Boot, and AWS

6y exp
AmazonUniversity of North Texas
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DZ

Senior Backend Engineer specializing in Healthcare & Cloud Platforms

New York, NY11y exp
DeloitteColumbia University
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VG

Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation

USA5y exp
AmazonNYU
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AA

Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms

New York, NY12y exp
Komodo HealthLewis University
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RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.

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MV

Michael Vance

Screened ReferencesStrong rec.

Senior AI & Data Engineering Manager specializing in Appian and cloud data platforms

New York, NY10y exp
DeloitteUniversity of Virginia

Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.

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LC

Mid-Level Backend Software Engineer specializing in FinTech platforms

San Francisco Bay Area, CA6y exp
MyVestUC Berkeley

Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.

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YS

Yashvi Shah

Screened

Mid-Level Software Engineer specializing in distributed systems and cloud platforms

Sunnyvale, CA3y exp
AmazonUSC

Amazon Alexa engineer who architected and shipped a GenAI Knowledge Agent used by 2M+ customers, focused on making LLM outputs auditable via citations and a verification layer that prevents hallucinations. Built the full vertical slice (FastAPI/LangChain backend + React/TypeScript streaming UI) while keeping p99 latency under 200ms, and has proven incident response experience on AWS (Lambda/DynamoDB scaling issues).

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AA

Mid-level Software Engineer specializing in distributed systems and FinTech infrastructure

New York, NY
BloombergNYU

Early-career software engineer who owns revenue-critical invoice processing and internal ops tooling end-to-end. Has built TypeScript/React systems backed by MongoDB and Temporal, and designed scalable SQS-based onboarding workflows with FIFO/DLQ monitoring. Notably redesigned an Authzed SpiceDB authorization model, shrinking a 500+ line schema to ~20 lines while meeting sub-100ms p95 latency.

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ML

Executive Engineering Leader specializing in cloud-native platforms and global team scaling

28y exp
Rambis TechnologyColumbia University

Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.

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CS

Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization

San Francisco, CA6y exp
StripeUniversity of Tampa

ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.

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SM

Junior Software Development Engineer specializing in cloud security and CI/CD

Herndon, VA2y exp
AmazonUniversity of Michigan

Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.

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PH

Peifeng Hu

Screened

Junior Software Development Engineer specializing in AWS distributed systems and data orchestration

Seattle, WA3y exp
AmazonUSC

Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.

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