Vetted Asynchronous Processing Professionals

Pre-screened and vetted.

NB

Mid-level Software Development Engineer specializing in distributed systems and GenAI

Bellevue, WA6y exp
AIGArizona State University
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PR

Mid-level Software Engineer specializing in distributed systems and FinTech/AI platforms

Dallas, TX4y exp
AmazonMontclair State University
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GV

Mid-level Software Engineer specializing in enterprise AI and Salesforce CRM

San Francisco, CA7y exp
SalesforceUniversity of San Francisco
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NL

Senior Software Engineer specializing in cloud-native backend systems and data platforms

Pittsburgh, PA6y exp
SurefrontCarnegie Mellon University
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AJ

Mid-level Software Developer specializing in Java microservices and distributed systems

WA4y exp
ServiceNowUniversity of Washington
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YK

Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services

IL, USA5y exp
DoorDashIllinois Institute of Technology
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SC

Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services

WA, USA3y exp
DoorDashSanta Clara University
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RS

Mid-level Backend Software Engineer specializing in microservices and cloud APIs

Chicago, IL4y exp
Reliance IQUniversity of Alabama at Birmingham
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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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SG

Mid-Level Software Engineer specializing in AI platforms and backend systems

New York, NY6y exp
IndeedNYU
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PC

Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems

Virginia, USA6y exp
DoorDashWashington University of Virginia
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SP

Staff Salesforce Engineer specializing in enterprise CRM and integrations

New York, NY6y exp
CitadelUniversity of Central Missouri
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SK

Sangeeth Kumar Mohan

Screened ReferencesModerate rec.

Senior Lead Software Engineer specializing in authentication platforms and distributed systems

15y exp
T-MobileLincoln University

Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).

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AP

Akash Patil

Screened

Mid-Level Software Engineer specializing in backend systems and LLM/RAG applications

5y exp
IntuitNorthern Illinois University

Backend/AI engineer at Intuit who built a production AI-powered case assistant for support agents (FastAPI on AWS EKS) combining Postgres case data, OpenSearch retrieval with embedding reranking, and internal LLMs. Improved peak-season reliability by diagnosing P95/P99 timeout spikes and cutting P95 latency from ~800ms to <400ms via composite indexing, keyset pagination, connection pool tuning, and caching, while adding grounded-generation guardrails (evidence packs, confidence thresholds, fallbacks, human-in-the-loop).

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Rahul Kushwaha - Mid-level Software Engineer specializing in FinTech and scalable microservices in Texas, USA

Mid-level Software Engineer specializing in FinTech and scalable microservices

Texas, USA5y exp
PayPalSanta Clara University

Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.

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Hongxi Chen - Intern Software Engineer specializing in distributed systems and backend infrastructure in Beijing, China

Hongxi Chen

Screened

Intern Software Engineer specializing in distributed systems and backend infrastructure

Beijing, China0y exp
Chinese Academy of SciencesUniversity of Nottingham

Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.

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SL

Shon Little

Screened

Director-level Software Engineering Leader specializing in AI platforms and full-stack cloud systems

Remote19y exp
Dance Studio Owners AssociationUniversity of Nebraska at Kearney

Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.

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DS

Intern Software Engineer specializing in cloud data platforms and full-stack systems

Seattle, WA1y exp
Amazon Web ServicesStony Brook University
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