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Vetted Elastic Stack (ELK) Professionals

Pre-screened and vetted.

Elastic Stack (ELK)DockerKubernetesCI/CDJenkinsPython
IN

Ian North

Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems

Houston, TX14y exp
AtlassianUniversity of Houston
GoJavaScriptTypeScriptPythonJavaRuby+107
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QG

Quincy Garner

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
PythonDjangoFlaskFastAPIGoRuby+101
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AO

Adedayo Odugbesan

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

Oklahoma City, OK9y exp
Dell TechnologiesUC Berkeley
AgileAnsibleAWSAWS CloudFormationAzure DevOpsBash+71
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BS

Bhavani Shekhawat

Screened

Engineering Manager specializing in AI/ML platforms and 0→1 product delivery

Cambridge, MA15y exp
ElsevierHarvard University

“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”

AgileAngularJSApache AirflowAPI DesignArgo CDAWS+112
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NR

Nikhil Reddy

Screened

Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms

San Francisco, CA5y exp
NVIDIASaint Louis University

“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”

PythonJavaSpring BootJavaScriptTypeScriptReact+129
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SS

Sai Sravanth Segu

Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs

Plano, TX5y exp
MetaUniversity of Texas at Arlington
A/B TestingAmazon EC2Amazon RDSAmazon S3Apache AirflowApache Hadoop+94
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BP

BhanuPrasad Pothagani

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
JavaPythonJavaScriptTypeScriptCC+++221
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MP

Mohan Pindyala

Executive Engineering Leader specializing in FinTech payments and real-time platforms

17y exp
ImprintCalifornia State University, Fresno
AndroidAPI developmentAWSCI/CDData engineeringDatadog+91
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SB

Soumik Banerjee

Senior Full-Stack Engineer specializing in cloud-native .NET microservices

Austin, TX10y exp
SamsungUniversity of New Mexico
C#.NETObject-Oriented Programming (OOP)Design PatternsgRPCREST APIs+123
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RP

Rahul Paul

Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting

KS, United States12y exp
TargetKansas State University
PythonJavaSQLBashShell ScriptingMachine Learning+199
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ZS

Zhang Steven

Senior DevSecOps Engineer specializing in multi-cloud CI/CD and federal compliance

St. Louis, MO11y exp
PerficientGeorgia Tech
PythonGoBashJavaJavaScriptTypeScript+50
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AH

Aaron Harnage

Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems

Vancouver, WA10y exp
Infinite RedColumbia University
PythonDjangoFastAPIFlaskC#Java+149
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RR

Rupeesh Reddy

Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms

6y exp
JPMorgan ChaseSoutheast Missouri State University
PythonJavaJavaScriptSQLShell ScriptingFlask+121
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JS

Julian Smith

Senior Data Engineer specializing in cloud data platforms and real-time analytics

Remote10y exp
Scout MotorsUniversity of Texas at Austin
A/B TestingAmazon EC2Amazon EMRAmazon S3Apache AirflowApache Hadoop+109
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BV

Balaji Vasili

Mid-Level Software Engineer specializing in backend systems and AI/NLP

Texas, USA4y exp
DeloitteCampbellsville University
API DevelopmentAWSAWS LambdaBERTC++Data Preprocessing+69
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VN

Venkatesh Nagendla

Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines

CA, USA6y exp
StripeSoutheast Missouri State University
AgileAmazon CloudWatchAmazon EC2Amazon EKSAmazon RDSAmazon S3+148
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VS

Vishal Sanga;l

Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE

Bay Area, CA28y exp
Electronic Arts
AgileAmazon CloudWatchAmazon EC2Amazon ECSAmazon RDSAmazon S3+172
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SD

Suvro Dutta

Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps

27y exp
Johnson & Johnson
AgileAmazon S3AnsibleArgo CDAWSAWS CloudFormation+148
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RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”

Amazon DynamoDBAmazon ECSAmazon KinesisAmazon RedshiftAmazon S3Amazon SQS+263
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LC

Lawrence Cheng

Screened

Mid-Level Backend Software Engineer specializing in FinTech platforms

San Francisco Bay Area, CA6y exp
MyVestUC Berkeley

“Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.”

JavaSQLPythonGoHibernateApache Kafka+67
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AC

Alexander Choy

Screened

Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision

Teaneck, NJ10y exp
AetrexColumbia University

“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”

Amazon BedrockAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon ECSAmazon Redshift+220
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