Vetted NoSQL Professionals

Pre-screened and vetted.

DB

Executive engineering leader specializing in FinTech and SaaS

Triangle, NC18y exp
testRigorUniversity of Sussex
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VN

Mid-level AI Engineer specializing in ML, MLOps, and enterprise NLP

5y exp
Goldman SachsUniversity of Connecticut
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KS

Mid-level Software Engineer specializing in AI systems and FinTech

Mountain View, CA3y exp
Carnegie Mellon UniversityCarnegie Mellon University
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RK

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

Saint Louis, MO6y exp
PNC
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Khaliun Gerel - Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms in New York, NY

Khaliun Gerel

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms

New York, NY7y exp
GertechColumbia University

Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.

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LX

Longyang Xu

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products

Quincy, MA1y exp
GraniteCarnegie Mellon University

Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.

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JC

Jenny Cheng

Screened

Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment

Remote, USA1y exp
MetaUC Irvine

Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.

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MM

Meet Merchant

Screened

Mid-level Software Engineer specializing in LLM agents and full-stack systems

Redlands, California3y exp
EsriUC Irvine

At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.

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MN

mahesh narne

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps

San Jose, CA3y exp
PayPalUniversity of Central Missouri

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

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SK

Mid-level Machine Learning Engineer specializing in industrial deep learning and predictive control

Houston, TX5y exp
oPRO.aiCarnegie Mellon University

AI engineer building and deploying deep-learning-based optimization/control systems for petrochemical plants, with a focus on maintaining operational stability under real-world constraints. Core contributor to model and inference design; introduced a stability-focused non-linear objective and sped up second-layer optimization via on-the-fly first-order approximations. Experienced using Kubernetes for end-to-end testing and effective in translating customer expectations into measurable evaluation plots for non-technical stakeholders.

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Syed Daim Ali - Intern Software Engineer specializing in FinTech and AI platforms in Sunnyvale, CA

Syed Daim Ali

Screened

Intern Software Engineer specializing in FinTech and AI platforms

Sunnyvale, CA0y exp
ZoofiUC Berkeley

Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.

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HS

Haider Shah

Screened

Principal AI/ML Architect specializing in GenAI, LLMs, RAG, and Agentic AI

California, USA13y exp
PineconePreston University

FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.

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Gautham Yerroju - Senior Software Engineer specializing in AWS cloud infrastructure and microservices in CA, USA

Senior Software Engineer specializing in AWS cloud infrastructure and microservices

CA, USA12y exp
SoftQuip TechnologiesUniversity of Nevada, Reno
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Sai Srinivasa Subrahmanyam Puranam - Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection in Centennial, CO

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

Centennial, CO4y exp
Capital OneUniversity of Colorado Boulder
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Noah Hernandez - Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript in Hanover, MD

Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript

Hanover, MD11y exp
Eccalon LLCUniversity of Chicago
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Pranav Thorat - Mid-level Machine Learning Engineer specializing in MLOps and applied AI in Seattle, WA

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

Seattle, WA5y exp
Hextropian Systems Inc.NYU
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HR

Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes

Dallas, Texas6y exp
American AirlinesIllinois Institute of Technology
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Nunna Saranya - Mid-Level Full-Stack Software Engineer specializing in microservices and cloud in Atlanta, GA

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

Atlanta, GA4y exp
Goldman SachsUniversity of California
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JP

Senior Software Engineer specializing in backend microservices and AI/ML integrations

San Francisco, CA10y exp
Observant AIFlorida State University
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AS

Junior ML Engineer specializing in GenAI agents, RAG, and computer vision

San Jose, CA2y exp
AdobeSyracuse University
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