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Vetted Caching Professionals

Pre-screened and vetted.

AK

Intern Full-Stack/Backend Engineer specializing in cloud-native APIs and event-driven systems

Warrensburg, MO2y exp
SodexoUniversity of Central Missouri

Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.

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AY

Ajay Yamagani

Screened

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

Irving, TX5y exp
ClairvoyantUniversity of North Texas

Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.

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JC

Jason Chen

Screened

Mid-Level Backend Software Engineer specializing in distributed financial systems

Chicago, IL7y exp
S&S Truck Parts LLCArizona State University

Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.

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LG

luis gonzalez

Screened

Junior Backend/Platform Engineer specializing in cloud-native APIs and data systems

Los Angeles, CA2y exp
PresentifyCalifornia State University, Los Angeles

Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.

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SK

Mid-Level Software Engineer specializing in AI/ML and cloud-native platforms

Redmond, WA5y exp
Quadrant TechnologiesSeattle University

Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.

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WW

Mid-level Full-Stack Software Engineer specializing in authentication and SolidJS/TypeScript

New York City, NY3y exp
SolidAuthCalifornia State University, Long Beach

Mid-level full-stack engineer (Los Angeles) who built and shipped an end-to-end authentication system for SolidAuth, an open-source SolidStart ecosystem library published to NPM with 1000+ downloads. Experienced designing React/TypeScript + Node + Postgres architectures, operating lightweight production systems on AWS (EC2/S3/RDS/IAM/CloudWatch), and building resilient third-party ingestion/integration flows with idempotency, retries, queues, and backfills; also worked in an early-stage NIL startup (OFFSZN) shipping core onboarding/profile features amid changing requirements.

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VJ

Mid-level Full-Stack & AI Engineer specializing in LLM applications

6y exp
Our National ConversationFitchburg State University

Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.

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SS

Shuchi Shah

Screened

Senior Software Engineer specializing in Backend Systems and Generative AI (RAG)

San Jose, CA12y exp
OpGov.AISan Diego State University

Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.

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SA

Mid-Level Software Engineer specializing in backend and full-stack web applications

USA4y exp
DoJoGaIllinois Institute of Technology

Backend engineer focused on scalable, secure, observable systems—built an async workflow backend with REST APIs and state persistence that improved reliability under concurrent load and cut end-to-end processing time ~40%. Strong in production security for multi-tenant systems (OAuth2/JWT, RBAC, DB row-level security) and in low-risk migrations using feature flags and canary releases, including catching and preventing cross-tenant data access issues with CI-based RLS tests.

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SS

Selim Subasi

Screened

Mid-level FX TD / Technical Generalist specializing in Houdini simulations and Nuke compositing

Istanbul, Turkey
Entropi–Nongravital StudioBahçeşehir University

Houdini FX/3D generalist who shipped procedural, loopable environment/FX content for an immersive museum installation (Ephesus Experience), focusing on performance budgets, clean handoff, and integration stability. Also optimizes large-scale fire sims (30k x 4k) using clustered, distance-based voxel budgeting and NanoVDB, and actively leverages AI (e.g., Trellis2 + Claude Code scripts) to batch-generate 50+ 3D assets quickly.

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ND

Nishant Dalvi

Screened

Intern Full-Stack Engineer specializing in cloud-native web and real-time systems

India1y exp
ServicekeedaIllinois Institute of Technology

Software engineer/intern who built an EV charging station management platform from scratch (TypeScript/Next.js/Node/Express/Postgres) with real-time OCPP WebSocket operations and payment processing, iterating quickly based on operator feedback. Also created an internal CloudWatch log aggregation dashboard with Slack alerts that was adopted team-wide, addressing API rate limits and log-format inconsistencies through caching, pagination, and standardized parsing.

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SR

Mid-Level Full-Stack Engineer specializing in microservices and cloud APIs

Cary, NC4y exp
YUG TechnologiesIllinois Institute of Technology

Software engineer who builds workflow-centric products end-to-end, including a customer-facing module on the Trident AI content platform and an internal content workflow tool adopted as the default process. Strong in TypeScript/React + FastAPI architectures and in scaling event-driven microservices with RabbitMQ, emphasizing reliability (idempotency, DLQs) and observability (correlation IDs) to reduce outages and debugging time.

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ZR

Junior Full-Stack Developer specializing in React Native and Java/Spring

3y exp
Richards WilcoxBrainStation

Frontend engineer who created an in-house React-like framework (“React-Wilcox”) enabling modern, event-driven UI components on extremely legacy browsers (as far back as 2002), including race-condition avoidance via batched state updates. Also does freelance work untangling AI/vibe-coded frontends for nontechnical founders, componentizing UIs and fixing routing/readability, and recently built a React+TS social app for martial artists with privacy-preserving location distance features.

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UA

Umair Azam

Screened

Senior Full-Stack Software Engineer specializing in Ruby on Rails and React

Lahore, Pakistan10y exp
OM Solutionz Pvt LtdFAST - National University of Computer and Emerging Sciences

Frontend engineer with React/TypeScript experience who has led end-to-end UI work on a fintech product (React frontend with NestJS APIs), emphasizing performance (virtualized rendering, memoization, lazy loading, profiling) and quality at scale (unit tests and TDD). Also built and iterated on a snooker sports app, simplifying UX through audience-focused design decisions and streamlined onboarding.

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DA

Junior Full-Stack Software Engineer specializing in cloud-native web apps and AI tooling

California, US3y exp
EduQuencherMissouri University of Science and Technology

Software engineer with experience across edtech, live gaming, and an AI document intelligence platform, delivering end-to-end customer-facing features and production backends. Built secure, automated live-session scheduling integrating Zoom and TalentLMS (JWT/RBAC, idempotency, transactions) cutting setup time from ~3 minutes to under 1 minute, and optimized real-time gaming dashboards/APIs with query tuning, caching, and CDN improvements (~60% latency reduction under peak load) on AWS.

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AC

Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration

Syracuse, NY2y exp
D&D Motor Systems Inc.Syracuse University

Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.

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SR

Mid-level Backend Engineer specializing in Python APIs and cloud-native services

Texas, USA5y exp
Verveba TelecomNorthern Arizona University

Data engineer with experience at Morgan Stanley and Star Health owning production-grade lakehouse pipelines for credit risk and healthcare datasets. Built Azure/Databricks/Delta/Snowflake-based platforms processing millions of records per day with strong data quality, observability (Monte Carlo/Azure Monitor), and reliability practices, plus experience delivering curated data services with performance tuning and backward-compatible versioning.

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AA

Senior Full-Stack AI/ML Engineer specializing in MLOps and GenAI

Belmont, Michigan10y exp
AvaSureCapitol Technology University

Senior backend/data engineer who has built and maintained HIPAA-compliant, real-time clinical FastAPI services on AWS, orchestrating ML/LLM and vector DB calls with strong reliability patterns (auth, timeouts/retries, graceful degradation, idempotency). Also delivered AWS IaC/CI-CD (Terraform/Helm/GitHub Actions) across EKS/Lambda/SageMaker and built Glue/Spark ETL with schema evolution and data quality controls, plus demonstrated large SQL performance wins (15 min to <9 sec) and hands-on incident ownership.

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NT

Junior Backend Engineer specializing in cloud APIs and AI-enabled systems

Raleigh, NC2y exp
NC State UniversityNorth Carolina State University

Built and shipped "OnCall Copilot," a production Slack-based RAG assistant that answers on-call questions from runbooks and postmortems with citations using a FAISS vector index. Emphasizes reliability and measurable performance via strict guardrails ("no evidence, no answer"), evaluation metrics, drift monitoring, and operational hardening with Docker, logging, health checks, and offline fallback.

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AD

Alex Diamandi

Screened

Junior Software Developer specializing in AI data labeling and full-stack web development

Toronto, Canada2y exp
MetaYork University

Frontend-focused builder who has led multiple projects end-to-end, including a React/Vite/TypeScript weather app and an internal analytics dashboard optimized for large, time-based datasets. Also created and shipped AetherGrid, a full-stack Windows desktop app, iterating with 5–10 testers and implementing pixel-perfect native UI details plus installer/uninstaller packaging; mentions starting a full-time role at Meta.

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MJ

Marcus Jeong

Screened

Mid-level Frontend-Focused Full-Stack Developer specializing in React and TypeScript

Toronto, Canada6y exp
Lodestone Product ManagementHumber College

Frontend engineer at LodestonePM who led end-to-end delivery of an AI release-notes generator (OpenAI API) and a Kanban-style release board in Remix/React/TypeScript. Demonstrated scalable architecture (bridging tables, upserts), strong QA practices, and measurable performance wins (200+ item loads reduced from 10–20s to a few seconds via caching/pagination), plus UX improvements like simplifying a Jira integration flow.

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MF

Mid-level Full-Stack Software Engineer specializing in FinTech

Brasília, Brazil4y exp
T-AlphaFederal University of Bahia

Frontend tech lead for a university e-signature platform (Next.js/React/TypeScript) replacing paper-based signing. Built a trustworthy multi-signer PDF signing workflow with backend-as-source-of-truth state handling, strong quality gates (typed contracts, linting, pre-commit, PR reviews), and performance work like Web Workers for heavy PDF operations.

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AA

Akram Ali

Screened

Senior Full-Stack Developer specializing in Node.js/TypeScript, cloud, and data engineering

Chicago, United States10y exp
BeyondMindsUniversity of the Punjab

Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).

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