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Vetted Rate Limiting Professionals

Pre-screened and vetted.

RR

Mid-level Full-Stack Engineer specializing in Java/Spring and React on cloud microservices

Los angeles, CA6y exp
TikTokUniversity of Texas at Arlington
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DS

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

Dallas, Texas4y exp
CVS HealthUniversity of Texas at Arlington
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YG

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

Harrison, NJ5y exp
AmazonSouthern Illinois University
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VG

Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations

5y exp
Johnson & JohnsonPurdue University
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VC

Mid-level Full-Stack Software Engineer specializing in microservices, cloud, and GenAI

Los Angeles, CA5y exp
AIGUSC

Software engineer with experience across enterprise (AIG, MSCI) and an early-stage startup (Job Map), owning production systems end-to-end. Built secure insurance microservices on Spring Boot with JWT/RBAC and AWS-based CI/CD/observability, plus Kafka streaming pipelines for financial data. Also shipped a GenAI personalization MVP using FastAPI and LLM APIs in a high-ambiguity startup environment.

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HC

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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YV

Yash Vishe

Screened

Junior Software Engineer specializing in LLM systems, data engineering, and ML

San Diego, CA2y exp
San Diego Supercomputer CenterUC San Diego

Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.

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KC

Senior Full-Stack Developer specializing in cloud-native microservices

Dallas, TX3y exp
Bank of AmericaUniversity of North Texas

Bank of America engineer/product owner who built a real-time transaction insights and spending categorization platform using React/TypeScript and Spring Boot microservices with Kafka. Deep experience in event-driven architectures, performance tuning at peak banking loads, and reliability patterns (SLOs, observability, feature flags, DLQs). Also created an internal monitoring/alerting tool adopted across engineering and ops, cutting incident response time by 40%+.

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YC

Intern Software Engineer specializing in AI agents, RAG, and full-stack systems

1y exp
Peking UniversityUniversity of Michigan
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JC

Senior Full-Stack Python Engineer specializing in cloud microservices and MLOps

Chicago, IL8y exp
ELEKSTouro University
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VK

Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications

San Francisco, CA6y exp
Twist BioscienceUniversity of Texas at Arlington
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GP

Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs

New York, NY2y exp
Arena InvestorsColumbia University
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VP

Viraj Paresh Shah

Screened ReferencesModerate rec.

Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance

San Francisco, California6y exp
CiscoUC Irvine

Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.

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HG

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

4y exp
DeloitteUniversity of Washington

LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.

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YC

Yuan-Hao Chen

Screened

Intern Software Engineer specializing in backend systems and cloud infrastructure

Urbana, IL1y exp
ReDirectUniversity of Illinois Urbana-Champaign

Backend-focused intern who owned real-time livestream features: live comment moderation using AWS Comprehend (sentiment/toxicity/PII) with safe fallbacks, plus AI-generated positive commentary via AWS Bedrock (Claude 3 Haiku). Emphasizes reliability/low-latency design, IAM troubleshooting, and disciplined GitOps-style CI workflows for reproducible deployments.

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PR

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

Irvine, California4y exp
SynapticsUC Irvine

Robotics software engineer who built and owned core navigation components for a TurtleBot in ROS/ROS2 and Gazebo, including an RRT-based planner, waypoint-to-velocity motion planning, and PID trajectory tracking. Demonstrates strong real-time debugging skills (control-loop timing under CPU load), costmap/occupancy-grid tuning, and distributed ROS2 communication design using DDS/QoS, plus Docker and CI/CD automation experience from Keysight.

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