Vetted Next.js Professionals

Pre-screened and vetted.

RR

Mid-Level Software Engineer specializing in full-stack systems and cloud platforms

New York, NY4y exp
Goldman SachsUniversity at Buffalo
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SV

Mid-level Full-Stack Developer specializing in FinTech and fraud detection

Remote, USA4y exp
DatabricksSaint Louis University
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HB

Junior AI Product Engineer specializing in LLM workflows and analytics automation

Pittsburgh, PA3y exp
Peak3Carnegie Mellon University
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AS

Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps

Cambridge, MA2y exp
HubSpotUSC
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SL

Senior Full-Stack Engineer specializing in cloud microservices on AWS

6y exp
AmazonUniversity of Missouri-Kansas City
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PC

Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems

Virginia, USA6y exp
DoorDashWashington University of Virginia
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AF

Principal AI/ML Engineer specializing in LLM and NLP platforms

Tampa, FL11y exp
RivianFlorida State University
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VN

Mid-level Software Engineer specializing in FinTech platforms

USA4y exp
CitigroupUniversity at Buffalo
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HS

Senior Full-Stack Engineer specializing in Java microservices and FinTech

San Francisco, CA5y exp
AtlassianUniversity of the Cumberlands
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KR

Mid-level Software Developer specializing in backend cloud and API platforms

California, USA3y exp
UberNew York Institute of Technology
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SG

Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT

17y exp
Felt Clinic, Inc.
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SU

Staff Software Engineer specializing in frontend platform architecture

San Mateo, CA16y exp
IPSY
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SK

Sangeeth Kumar Mohan

Screened ReferencesModerate rec.

Senior Lead Software Engineer specializing in authentication platforms and distributed systems

15y exp
T-MobileLincoln University

Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).

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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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Osaze Edo-Osagie - Senior Frontend/Full-Stack Engineer specializing in React and TypeScript in New York, USA

Osaze Edo-Osagie

Screened ReferencesStrong rec.

Senior Frontend/Full-Stack Engineer specializing in React and TypeScript

New York, USA7y exp
MeltwaterUniversity of Nottingham

Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.

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Sreenaina Koujala - Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems in Ashburn, VA

Sreenaina Koujala

Screened ReferencesStrong rec.

Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems

Ashburn, VA8y exp
Zazvata Inc.George Mason University

Builder with experience across government contracting, engineering automation, and solo AI product development. They architected a serverless AWS pipeline that converted unstructured BIM data into IFC 3D models, built an enterprise internal-data chatbot with auditability and guardrails at Steampunk, and independently launched an AI study platform using Claude. Strong fit for early-stage or ambiguous environments where end-to-end ownership and practical AI systems matter.

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MM

Senior Software Engineer specializing in AI/ML backend and cloud infrastructure

Bentonville, AR11y exp
WalmartUniversity of Houston

Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.

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HM

Junior AI/ML & Cloud Software Engineer specializing in LLM applications

2y exp
Randomwalk.AIUniversity of Illinois Urbana-Champaign

AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.

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Daniel Jeong - Junior Full-Stack Engineer specializing in real-time platforms and AI tools in Cambridge, MA

Daniel Jeong

Screened

Junior Full-Stack Engineer specializing in real-time platforms and AI tools

Cambridge, MA3y exp
DraperColgate University

Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.

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MG

Megan Gwynne

Screened

Executive product leader specializing in e-commerce, marketplaces, and growth

San Francisco, CA21y exp
For Goodness SakeUC Davis

Senior product leader with experience spanning luxury e-commerce and consumer education, including leading personalization and AI-driven shopping experiences at The RealReal and serving as Chief Product Officer/strategic product consultant at OMGYES. Stands out for combining ML-powered product strategy, strong UX judgment, and cross-functional leadership to deliver measurable business impact, including conversion and revenue gains at scale.

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