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Vetted Caching Professionals

Pre-screened and vetted.

JS

Jafeeza Shaik

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and data platforms

3y exp
Wells FargoUniversity at Buffalo

Robotics software engineer focused on multi-robot fleet orchestration in ROS 2, owning the fleet manager and task dispatch layer for pick/drop workflows. Strong in real-world reliability and safety (heartbeats, idempotent tasking, E-stop/localization confidence gates) and in debugging timing/state issues via telemetry alignment and rosbag replay, with experience in simulation, CI/CD, Docker, and Kubernetes-based deployments.

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AR

Intern Full-Stack Software Engineer specializing in cloud, voice AI, and billing systems

Los Angeles, CA1y exp
SyncratikUSC

Product-minded full-stack engineer at a B2B startup who ships high-stakes customer-facing features fast: delivered a Spanish AI support agent in 2 weeks by benchmarking LLMs and using native Spanish system prompts, reaching 90% resolution. Built the company’s first monetization system (hybrid subscription + usage) with Stripe/Firebase, emphasizing secure JWT-based flows and idempotent webhooks, and led a microservices decoupling effort that cut developer onboarding time by 50%.

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AG

Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices

Tempe, Arizona11y exp
Arizona State UniversityArizona State University

Product-minded full-stack engineer from CouponDunia who owned end-to-end notification and recommendation services at million-user scale. Built internal admin/analytics and operations dashboards in React/TypeScript with typed contracts and scalable Node.js REST APIs, and has deep microservices experience with Kafka/RabbitMQ (idempotency, retries/DLQs, partitioning, consumer tuning, and observability).

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PG

Prasanth Goli

Screened

Mid-level Data Scientist specializing in Generative AI and LLM production systems

United States5y exp
AT&TWestern Illinois University

Built and deployed a production LLM-powered workflow assistant that automated internal marketing/production business tasks (document summarization, repeated Q&A, status updates). Demonstrates end-to-end applied LLM engineering: modular RAG architecture, hallucination/latency mitigation, automated evals to prevent prompt regressions, and Azure-based orchestration (Functions/Logic Apps) with monitoring and controlled rollouts.

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AM

Mid-level Data Scientist specializing in LLMs, RAG, and document intelligence

NYC, NY3y exp
MagnitUniversity at Buffalo

LLM/ML engineer who has shipped production systems in legal/financial-risk domains at Wolters Kluwer, including a hybrid OCR+deterministic+LLM extraction pipeline that structured UCC filings at massive scale and drove $6M+ in revenue. Also built LangGraph-based multi-agent “Deep Research” workflows with model routing, tool calls (MCP), persistence, and human-in-the-loop review, and partnered closely with policy writers to deliver LLM summarization that cut writing time by ~60%.

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BG

Bhanu Gummadi

Screened

Mid-level Backend Software Engineer specializing in cloud-native microservices and FinTech

Bellevue, WA4y exp
MastercardUniversity of Central Missouri

Backend-focused engineer with Mastercard experience building and operating high-volume transaction-processing microservices. Has owned customer-facing banking services end-to-end and built an internal on-call analytics tool that centralized logs/metrics with real-time filtering to speed root-cause analysis and reduce incident investigation time.

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RS

Mid-level Full-Stack Developer specializing in FinTech platforms and cloud-native microservices

Texas, USA6y exp
Morgan StanleyUniversity of Central Missouri

Backend/platform-focused Python engineer who has owned FastAPI services with Postgres/SQLAlchemy and production-grade auth (JWT + RBAC). Experienced deploying and operating microservices on Kubernetes with GitOps (ArgoCD), HPA tuning, and Prometheus/Grafana monitoring, plus hands-on cloud-to-on-prem migrations and Kafka-based real-time streaming pipelines.

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SN

Junior Full-Stack Java Developer specializing in Spring Boot microservices and React

Frisco, TX3y exp
Silicon LabsUniversity of North Carolina at Charlotte

Full-stack Java/Spring Boot + React engineer (3–4 years) who built an end-to-end smart employee management system and a data analytics dashboard handling millions of daily transactional records. Emphasizes scalable layered REST API design, secure microservices practices (Spring Security, JWT/OAuth2), and performant React state/data patterns (Redux Toolkit + RTK Query) for large datasets and role-based views.

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PJ

Payal Jadhav

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud platforms and AI-enabled apps

Massachusetts, US3y exp
Dassault SystèmesNortheastern University

Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.

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SK

Senior Software Engineer specializing in Android platforms, developer experience, and workflow automation

San Francisco, CA10y exp
Kaiser PermanenteDarmstadt University of Applied Sciences

AppSec-focused engineer from Kaiser Permanente who advises on authentication/API security, performs lightweight threat modeling, and integrates SAST + dependency scanning into CI/CD while actively reducing false positives to improve release speed. Demonstrated strong troubleshooting using logs/traces/metrics (e.g., diagnosing auth failures caused by clock skew) and communicates security tradeoffs differently for engineering vs product stakeholders.

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SB

Senior Software Engineer specializing in AI and full-stack web platforms

Bay Area, CA6y exp
ELB USNortheastern University

Full-stack TypeScript engineer with early-stage startup experience (HomePulse; sole US engineer) who ships and owns production features end-to-end—routing/state design, API contracts, caching/pagination, and post-launch monitoring/optimization. Has delivered performance-sensitive React UIs (virtualized large datasets, React Query caching, Suspense loading patterns) and built durable job-queue workflows with idempotency/retries, plus SQL Server relational modeling for internal ticketing and knowledge-retrieval workflows.

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MG

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

Chesterfield, Missouri5y exp
Reinsurance Group of AmericaUniversity of Missouri-Kansas City

Full-stack engineer with hands-on ownership of real-time, Kafka-driven systems in production, spanning React/TypeScript frontends, Spring Boot/Node backends, and AWS (EKS/ECS/EC2) operations. Notable for modernizing legacy batch workflows into event-driven architectures with measurable impact (35% faster risk calculations, 30% better accuracy) and scaling to 2x volume using reliability patterns like idempotency, retries, and staged rollouts.

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MA

Maaz Ahmed

Screened

Mid-Level Software Engineer specializing in backend and distributed systems

Parsippany, NJ3y exp
ADPArizona State University

Backend-leaning full-stack engineer from ADP’s Global View team who owned major backend components of an enterprise payroll dashboard, including a fault-tolerant multi-step payroll processing workflow and error visibility features. Strong in Java/Spring Boot + PostgreSQL schema design and Redis caching, with additional production experience in Python services (JWT, testing, SonarQube) and AWS deployments via Terraform/Jenkins with autoscaling.

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VJ

Mid-level Full-Stack Java Developer specializing in FinTech and real-time systems

TX, USA5y exp
State StreetUniversity of North Texas

Backend/full-stack engineer with finance domain experience (State Street) who built and shipped a Kafka-based real-time trade validation system handling 50k+ trades/sec and cut latency by 42%. Also delivered real-time React dashboards (Redux Toolkit/React Query/WebSockets) and operates AWS EKS microservices with GitOps/ArgoCD; has built a FastAPI + LangChain/GPT-4 intelligent document processing service with JWT/RBAC.

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MN

Mid-Level Software Developer specializing in full-stack, cloud-native microservices and AI integrations

Remote, USA4y exp
Ally FinancialUniversity of North Texas

Backend/AI engineer who has built production Spring Boot APIs on AWS (JWT auth, Redis/MySQL) and solved a real-world silent data integrity issue by implementing idempotency keys plus DB constraints/transactions. Also shipped an LLM-based document Q&A feature using a RAG pipeline with evaluation + human review, and designed multi-step agent workflows with verification, retries, and escalation guardrails.

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HS

Mid-level Full-Stack Engineer specializing in cloud data platforms and LLM-powered apps

New York City, NY4y exp
CenteneUniversity of Maryland, Baltimore County

Full-stack engineer with healthcare and finance experience who has owned end-to-end production systems across Azure and AWS. Built a real-time clinical dashboard at Centene (React + FastAPI + Azure Event Hubs) that cut data latency from ~12 minutes to under 1 minute and was associated with a 30% reduction in intervention delays. Also delivered MVPs in high-ambiguity environments at Accenture during monolith-to-microservices migration, improving uptime and maintainability with measurable results.

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MK

Mahesh Kota

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native FinTech and Healthcare platforms

New York, NY5y exp
CitibankNew England College

Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.

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GP

Senior Software Engineer specializing in distributed systems and cloud-native platforms

New York, USA5y exp
WalmartBinghamton University

Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).

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VS

Vinay shetty

Screened

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

4y exp
Huntington BankUniversity of North Texas

Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.

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PD

Senior Full-Stack Engineer specializing in Java microservices and cloud-native web apps

Englewood, CO6y exp
Qurate Retail Group

Backend/full-stack engineer who has owned production retail and order/inventory systems end-to-end, using Spring Boot microservices with Kafka event-driven workflows. Strong in production correctness patterns (idempotency, retries/DLQs, schema versioning) plus observability (Prometheus/Grafana) and developer-facing API design (Swagger, OAuth2/JWT, versioning/deprecation). Also built TypeScript/React SPAs and cited ~40% UI performance improvement.

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ND

Mid-Level Software Engineer specializing in backend systems and CRM integrations

5y exp
University of Illinois ChicagoUniversity of Illinois Chicago
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TP

Mid-Level Software Engineer specializing in backend services and cloud platforms

Devens, MA3y exp
Bristol Myers SquibbNortheastern University
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VC

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

USA5y exp
Molina HealthcareOregon State University
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KD

Senior Software Engineer specializing in cloud-native full-stack and AI/ML systems

Pontiac, MI11y exp
TalmateLawrence Technological University
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