Reval Logo

Vetted Prometheus Professionals

Pre-screened and vetted.

HM

Mid-level AI/ML Engineer specializing in LLM and production ML systems

6y exp
eBayLamar University
View profile
RA

Mid-level AI/ML Engineer specializing in NLP/LLMs and computer vision

USA5y exp
TempusUniversity of North Texas
View profile
YG

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

Harrison, NJ5y exp
AmazonSouthern Illinois University
View profile
ST

Mid-level AI/ML Engineer specializing in MLOps, distributed ML, and RAG pipelines

USA4y exp
DatabricksUniversity of Central Missouri
View profile
DF

Principal DevOps/SRE Engineer specializing in multi-cloud infrastructure and DevSecOps

Houston, TX12y exp
ComcastUniversity of Texas at Austin
View profile
MT

Mid-level Full-Stack Developer specializing in React, Node.js, and cloud-native AWS systems

6y exp
UnitedHealth GroupUniversity of Central Florida
View profile
SG

Intern Software Engineer specializing in distributed systems and FinTech

Natick, MA2y exp
Goldman SachsUC Riverside
View profile
OS

Senior DevOps / Cloud / Site Reliability Engineer specializing in AWS and Kubernetes

United States (Remote)10y exp
Bank of AmericaRutgers University
View profile
JR

Mid-level Full-Stack Engineer specializing in React and Java microservices

New York, United States5y exp
UberFullstack Academy
View profile
VG

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

5y exp
Johnson & JohnsonPurdue University
View profile
GC

Mid-level Software Engineer specializing in backend microservices and cloud-native systems

USA, USA4y exp
UberTexas A&M University–Kingsville
View profile
SS

Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure

Vancouver, Canada20y exp
Clustera
View profile
LX

Longyang Xu

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products

Quincy, MA1y exp
GraniteCarnegie Mellon University

Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.

View profile
MM

Senior Software Engineer specializing in AI/ML backend and cloud infrastructure

Bentonville, AR11y exp
WalmartUniversity of Houston

Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.

View profile
SC

Mid-level Data Engineer specializing in cloud data platforms and real-time streaming

5y exp
Vertisage TechnologiesCarnegie Mellon University

Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.

View profile
JC

Jenny Cheng

Screened

Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment

Remote, USA1y exp
MetaUC Irvine

Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.

View profile
AR

Abhyush Rajak

Screened

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

California, USA4y exp
VisaCalifornia State University, Long Beach

Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.

View profile
OO

Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure

Fairfax, VA10y exp
Technatomy Digital SolutionUniversity of Lagos

Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.

View profile
MN

mahesh narne

Screened

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

San Jose, CA3y exp
PayPalUniversity of Central Missouri

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

View profile

Need someone specific?

AI Search