Vetted Elastic Stack (ELK) Professionals

Pre-screened and vetted.

VP

Mid-Level Software Engineer specializing in backend APIs, cloud microservices, and LLM integration

KS, USA4y exp
DXC TechnologyUniversity of Central Missouri
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SM

Mid-Level Software Engineer specializing in Java microservices and cloud-native development

Dallas, TX4y exp
CarbyneBelhaven University
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KG

Mid-Level Software Engineer specializing in backend systems and cloud data platforms

NJ, USA4y exp
Data Warehouse LabsUniversity of Texas at Arlington
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DS

Mid-level Data Engineer and AI Engineer specializing in LLMs and data platforms

San Jose, CA4y exp
AsanteSan Jose State University
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PT

Senior Java Full-Stack Developer specializing in cloud-native microservices

Foley, MN8y exp
Falcon National BankVikrama Simhapuri University
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MC

Principal Full-Stack Engineer specializing in scalable SaaS and cloud-native systems

Florence, AZ9y exp
Tech HoldingUniversity of Arizona
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LG

Mid-Level Backend Software Engineer specializing in AWS microservices and AI/automation

5y exp
Navitus Health SolutionsUniversity of Cincinnati
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AR

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

5y exp
VorizoPittsburg State University
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AU

Senior Full-Stack Developer specializing in cloud-native microservices and modern web apps

United States8y exp
Cloud AIUniversity of Texas at Arlington
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NS

Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV

USA4y exp
CGIUniversity of Central Missouri
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OO

Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance

Chicago, IL12y exp
EgenUnity High School
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BF

Senior DevOps & AWS Cloud Engineer specializing in scalable, secure cloud infrastructure

Devonshire Cliffs Terr, MD9y exp
DV ConsultUniversity of Buea
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DD

Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms

Woodbridge, VA12y exp
Freelance
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NK

Naveen Kancharla

Screened ReferencesStrong rec.

Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs

Virginia, USA4y exp
WooingSt. Francis College

Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.

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WA

Waleed Ahmed

Screened ReferencesStrong rec.

Senior Game Engineer specializing in Unity/Unreal and AR/VR multiplayer

Dubai, United Arab Emirates9y exp
AGAPINational University of Computer and Emerging Sciences

Unity developer who has shipped VR games on Meta Quest/Oculus Go and demonstrates strong performance engineering for constrained hardware (multithreading, Unity Job System, Jump Point Search). Has built multiple games largely solo (e.g., Tap & Conquer), handling UI/flow, core gameplay, and save systems, and uses AI to speed up build/test/backup automation via shell scripting.

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MC

Senior Java Full-Stack Developer specializing in cloud-native microservices

Kansas City, MO9y exp
Academy BankBomma Institute of Technology and Science

Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.

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HK

hamza Khan

Screened

Mid-level DevOps & Platform Engineer specializing in AI/ML infrastructure

New York, NY4y exp
HeadStarterPace University

Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.

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