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Vetted Grafana Professionals

Pre-screened and vetted.

GrafanaDockerPythonKubernetesCI/CDAWS
MG

Michael Gilbert

Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems

Santa Ana, CA8y exp
PinterestUC Berkeley
A/B TestingAWSBERTBigQueryCI/CDClassification+101
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DL

Douglas Letz

Senior Software Engineer specializing in scalable backend microservices and cloud platforms

Irving, TX11y exp
CapgeminiBoston University
PythonJavaScriptTypeScriptBashSQLJava+141
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MD

Michael Dowling

Senior Full-Stack Software Engineer specializing in cloud-native microservices

Irving, TX11y exp
CapgeminiBoston University
AgileAmazon EC2Amazon ECSAmazon S3Amazon CloudWatchAngular+162
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JS

Jason Sato

Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems

San Francisco, CA9y exp
ZocksDuke University
PythonTypeScriptJavaScriptNode.jsJavaC#+190
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KS

Kartheek S

Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems

Santa Clara, CA6y exp
NVIDIAUNC Charlotte
Amazon CloudWatchAmazon DynamoDBAmazon ECSAmazon EKSAmazon EMRAmazon Kinesis+134
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DG

Divya Garapati

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

California, USA4y exp
MetaSaint Louis University
JavaJavaScriptTypeScriptPythonGoKotlin+129
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DL

Daniel Lee

Staff Software Engineer specializing in streaming platforms and AI-driven experiences

Seattle, WA12y exp
AmazonClemson University
A/B TestingAmazon BedrockAmazon CloudWatchAmazon DynamoDBAmazon KinesisAmazon S3+106
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TH

Travis Holmes

Senior Full-Stack Engineer specializing in cloud-native platforms and distributed systems

Avon, OH, US11y exp
Core ScientificUniversity of California
JavaScriptTypeScriptNode.jsNestJSExpressGo+40
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BH

Brett Higgins

Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations

Los Angeles, CA13y exp
West MonroeUniversity of Texas at Austin
A/B TestingAgileAngularApache SparkAuto-scalingAutomated Testing+122
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KG

Kiriti Golla

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps

Bay Area, CA5y exp
MicrosoftSUNY Polytechnic Institute
A/B TestingAgileAmazon S3Anomaly DetectionApache KafkaApache Spark+151
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BH

Brett Higgins

Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms

Dallas, TX13y exp
Kamet Consulting GroupUniversity of Texas at Austin
ReactReact NativeNext.jsAngularReduxTypeScript+124
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AS

Amareswara Surapuraju

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
PythonFastAPIDjangoFlaskSQLAlchemyJava+151
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JL

Jack Livingston

Senior Software Engineer specializing in Python, cloud microservices, and conversational AI

Chapel Hill, NC11y exp
GoogleUniversity of North Carolina at Chapel Hill
PythonDjangoFastAPIFlaskGoNode.js+96
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JL

John Lucas

Executive AI Architect specializing in enterprise GenAI and LLM platforms

18y exp
Cogrithm.comUniversity of Colorado Boulder
Amazon BedrockAnomaly DetectionAWS GlueAWS LambdaBERTCI/CD+112
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TM

Thomas Maxwell

Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce

San Jose, CA11y exp
AmazonGeorgia Tech
AgileAngularApache AirflowApache HadoopApache KafkaApache Spark+268
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FZ

Flora Zeng

Junior Software Engineer specializing in observability and cloud infrastructure

2y exp
FastlyUC Berkeley
GoJavaTypeScriptPythonJavaScriptC+++32
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SY

Srinadh Y

Mid-level AI/ML Engineer specializing in LLMs, multimodal systems, and MLOps

5y exp
MetaEast Texas A&M University
A/B TestingAnomaly DetectionApache CassandraApache KafkaApache SparkAWS+179
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MT

Muhammad Tareen

Senior Software Engineer specializing in cloud platforms, data pipelines, and ML

Seattle, WA6y exp
MicrosoftMcMaster University
Amazon CloudFrontAmazon DynamoDBAmazon EC2Amazon EMRAmazon EKSAmazon Kinesis+116
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BS

Brian Sanders

Screened

Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines

Chicago, IL12y exp
SnapsheetTexas Tech University

“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”

PythonDjangoFastAPIFlaskJavaScriptTypeScript+160
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AD

Anirudha Deo

Screened

Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms

San Jose, CA23y exp
GoogleNagpur University

“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”

AJAXAuthorizationCI/CDCloud ComputingCloud-Native ArchitectureCode Reviews+173
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AM

Akhil Maram

Screened

Senior Data Engineer specializing in real-time data platforms and lakehouse architectures

Parker, CO8y exp
AirbnbLindsey Wilson College

“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”

PythonSQLScalaJavaPostgreSQLMySQL+117
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RB

Riccardo Bernardi

Screened

Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps

San Francisco, USA6y exp
ATLANTIA SpaUniversity of Bologna

“LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.”

AlgorithmsAmazon API GatewayAmazon EMRAmazon S3Apache AirflowArgo CD+85
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