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Vetted Grafana Professionals

Pre-screened and vetted.

JH

Jaraad Hines

Screened ReferencesStrong rec.

Senior Product Lead & Product Engineer specializing in FinTech and AI platforms

New York, NY9y exp
Iron Key CapitalUniversity of Pennsylvania

Product engineer/designer with founder mindset who shipped a blockchain-enabled investor group/governance platform using Next.js (App Router), TypeScript, Prisma/Postgres, and Temporal. Emphasizes auth-centric onboarding (SSO + embedded wallet) to make dApp UX feel more like SaaS, and brings strong reliability practices (idempotent retries, reconciliation) plus experience demoing to investors and operating in seed-stage teams (ex-Vouched).

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PK

Praniket Ketan Walavalkar

Screened ReferencesStrong rec.

Junior AI Software Engineer specializing in RAG agents and cloud data platforms

Seattle, WA1y exp
University of WashingtonUniversity of Washington

AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.

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SP

Soumya Perala

Screened ReferencesStrong rec.

Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation

Sunnyvale, CA9y exp
Wide Open WestSan José State University

Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.

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RZ

Rui Zhao

Screened ReferencesStrong rec.

Junior Machine Learning Engineer specializing in semantic search and retrieval systems

Los Angeles, CA1y exp
University of Southern CaliforniaUSC

Built and shipped a production RAG system (“TROJAN KNOWLEDGE”) for answering questions over technical PDFs, using a 3-stage retrieval stack (BM25 + FAISS + cross-encoder) to lift F1 from 71% to 84%. Drove major performance gains with a 3-level cache (memory/Redis/disk) cutting latency from ~200ms to ~10ms, and added Prometheus/Grafana monitoring plus LangChain-based fallback logic to handle OpenAI rate limits under load.

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PD

Preetham Dandu

Screened ReferencesModerate rec.

Junior Software Engineer specializing in backend, distributed systems, and cloud platforms

Stony Brook, NY1y exp
Stony Brook UniversityStony Brook University

MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.

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PS

Mid-level DevOps/SRE Engineer specializing in cloud CI/CD, IaC, and Kubernetes

Nashville, TN5y exp
Pinnacle Financial PartnersWebster University

Infrastructure engineer with deep production IBM Power/AIX experience (AIX 7.2/7.3, HMC, dual VIOS, PowerHA) supporting ~25–30 LPARs and handling live DLPAR tuning, HA failovers, and Power7→Power9 migrations. Also builds modern cloud delivery platforms—Azure DevOps CI/CD deploying Dockerized microservices to Kubernetes with Terraform-managed AWS infrastructure, strong controls around secrets, drift, and safe rollouts.

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SS

Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals

Columbus, OH5y exp
Molina HealthcareIllinois Institute of Technology

Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.

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NJ

Mid-level AI/ML Engineer specializing in Generative AI and RAG pipelines

NJ, USA6y exp
Molina HealthcarePace University

AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.

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AI

Aditya illur

Screened

Mid-level Platform/SRE Engineer specializing in Kubernetes and multi-cloud automation

Northbrook, IL3y exp
Medline IndustriesNortheastern University

Infrastructure security/DevSecOps engineer who led security and automation patterns during a large Azure migration (30+ legacy apps, wave-based execution), enforcing zero-trust controls by baking CrowdStrike/Illumio into golden images and adding CI/CD security gates. Experienced integrating GitLab runners and Terraform agents as containerized services with strong secrets management (Azure Key Vault) and disciplined image/versioning practices, and has hands-on troubleshooting of ACI runtime constraints under load.

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RT

Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration

New York, United States4y exp
CVS HealthStevens Institute of Technology
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NV

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS

Boston, MA4y exp
M&T BankNortheastern University
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GP

Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems

USA6y exp
State StreetCalifornia State University
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SL

Mid-level AI/ML Engineer specializing in generative AI and MLOps

Remote, USA5y exp
MizuhoAuburn University at Montgomery
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SP

Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech and ERP systems

Hartford, CT5y exp
The HartfordUniversity of Dayton
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SS

Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and NLP

St Louis, MO4y exp
State StreetSaint Louis University
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VR

Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment

Detroit, MI6y exp
Ally BankIndiana Wesleyan University
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JM

Senior Engineering Leader specializing in SaaS platform modernization and scaling teams

Pittsburgh, PA20y exp
FlyreelIndiana University of Pennsylvania
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RN

Senior Software Engineer specializing in cloud-native Java microservices

Chicago, IL5y exp
EpsilonFlorida Atlantic University
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SP

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

Bentonville, Arkansas6y exp
WalmartSacred Heart University
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JM

Mid-level Machine Learning Engineer specializing in Generative AI and MLOps

USA4y exp
Piper SandlerNortheastern University
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KC

Senior Full-Stack Engineer specializing in .NET, Angular, Azure, and AI automation

Kissimmee, FL16y exp
OpendoorUSC
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AS

Senior Software Engineer specializing in backend systems, AWS cloud services, and data pipelines

Houston, TX13y exp
BroadridgeHebrew University of Jerusalem
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