Vetted NoSQL Professionals

Pre-screened and vetted.

SP

Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems

Atlanta, GA5y exp
Juniper NetworksAuburn University at Montgomery
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SS

Mid-level Data Engineer specializing in cloud data platforms and BI analytics

Remote, USA4y exp
U.S. BankSan José State University
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SG

Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud

USA4y exp
U.S. BankWichita State University
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GS

Mid-level Software Engineer specializing in AI and cloud data platforms

Remote, USA4y exp
George Mason UniversityGeorge Mason University
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SB

Mid-level Data Engineer specializing in big data pipelines and cloud data platforms

Dallas, TX6y exp
HoneywellEast Texas A&M University
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JG

Senior Software Engineer specializing in game/VR development and WebGL full-stack systems

Berwyn, PA23y exp
Tipping Point MediaUniversity of Leeds
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MC

Senior Data Scientist specializing in ML engineering and cloud analytics

Calgary, Canada8y exp
Geek Inc.Georgia Tech
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MC

Staff Platform Engineer specializing in GCP data platforms

San Jose, CA4y exp
InfosysUniversity of Central Missouri
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VG

Senior Backend Software Engineer specializing in FinTech and distributed systems

California, USA4y exp
Western UnionCalifornia State University, Long Beach
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SV

Mid-level Software Engineer specializing in full-stack, cloud, and AI systems

Bloomington, IN4y exp
Indiana UniversityIndiana University
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EG

Senior Software Engineer specializing in secure cloud-native Java microservices

6y exp
Deloitte
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KC

Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)

Chicago, IL10y exp
United Airlines
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DT

Junior Full-Stack Developer specializing in React and Node.js

Bogotá, Colombia2y exp
Zemoga
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BR

Bharath Reddy Nallu

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps

4y exp
Northern TrustUniversity of the Cumberlands

Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.

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SM

Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.

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Sophie Adams - Senior Full-Stack Engineer specializing in event technology and interactive systems in New York, NY

Sophie Adams

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in event technology and interactive systems

New York, NY20y exp
Gramercy Tech

Full-stack product engineer in event tech who has owned AI-powered web products from architecture to live production, including a no-code SaaS/marketplace for event activations and real-time AI kiosk experiences. Particularly strong in building for non-technical users in high-stakes live environments, with hands-on experience across Vue/Laravel, LLM workflows, image generation pipelines, and operational reliability.

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KI

Khuram Ismaeel

Screened ReferencesModerate rec.

Senior AI/ML Engineer specializing in machine learning and cloud-native AI systems

10y exp
SoftServeAir University

ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.

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SN

Soumya Nayak

Screened

Mid-level Software Engineer specializing in cloud-native systems and AI automation

Seattle, WA6y exp
Humanitarians.AINortheastern University

Software engineer with hands-on experience shipping production AI agents and end-to-end ecommerce workflows. They built a customer support automation agent with strong guardrails and evaluation practices, then improved it post-launch using real user data to cut latency ~30% and token cost ~25%. Also drove a zero-to-one self-serve order modification product across React UI, backend services, and cross-functional alignment.

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RG

Rishabhh Garg

Screened

Software Engineer specializing in full-stack development and AI/ML automation

Needham, MA4y exp
First Help FinancialNortheastern University

Backend Python engineer focused on production-grade automation and reliability, with hands-on experience designing scalable API systems on PostgreSQL and making pragmatic architecture calls (modular monolith over premature microservices). Demonstrated measurable performance wins (50–60% latency reduction) and strong operational rigor via observability, incremental rollouts/feature flags, and security patterns like JWT + RBAC + database row-level security.

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Viacheslav Bulba - Senior QA Automation Engineer specializing in UI/API test automation and CI/CD in Las Vegas, Nevada

Senior QA Automation Engineer specializing in UI/API test automation and CI/CD

Las Vegas, Nevada15y exp
Nu SkinTaganrog State University of Radio Engineering

QA professional with 15+ years testing a variety of applications (not games), experienced partnering with developers/designers/product owners across the feature lifecycle. Brings a disciplined, methodology-driven approach to test design, regression coverage, and high-quality defect reporting using tools like Jira, TestRail, qTest, and HPQC; targeting ~100K base (flexible based on total package).

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AM

Senior QA Engineer specializing in AEM and test automation

Clifton, NJ12y exp
JakalaNJIT
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JK

Mid-level Java Full-Stack Developer specializing in cloud microservices and AI integration

Naperville, IL6y exp
EgenWichita State 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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