Vetted Next.js Professionals

Pre-screened and vetted.

AS

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

Remote2y exp
AmazonVanderbilt University
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BS

Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM

Cleveland, Ohio16y exp
ProcoreCleveland State University
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SP

Executive Founder/CEO specializing in AI platforms for healthcare and enterprise automation

Los Angeles, California21y exp
RxGPTXavier Institute of Management, Bhubaneswar
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HK

Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare

Miami, FL5y exp
CitadelLindsey Wilson College
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SK

Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications

6y exp
Fidelity InvestmentsUniversity of Texas at Dallas
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WK

Staff Full-Stack Software Engineer specializing in cloud-native microservices

Dallas, TX10y exp
JetBlueGeorgia Tech
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SP

Entry-level Software Engineer specializing in data pipelines and applied AI

Santa Cruz, CA2y exp
AmazonUC Santa Cruz
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TP

Senior Software Engineer specializing in AI-powered backend and data platforms

San Francisco, CA10y exp
Komodo HealthUniversity of Texas at Austin
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JA

Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech

Erie, PA9y exp
UnisysUniversity of Texas at Austin
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TE

Principal software engineer and technical founder specializing in AI platforms

San Jose, CA23y exp
Adrenal AI
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CR

Mid-Level Software Engineer specializing in distributed systems and cloud-native platforms

Austin, TX5y exp
AMDNortheastern University

Backend/AI engineer who built and scaled an internal AMD semiconductor manufacturing microservice platform (SMR), reworking a synchronous lot-request workflow into an event-driven RabbitMQ/Celery/FastAPI pipeline. Diagnosed and fixed peak-load reliability issues using deep observability and Kubernetes autoscaling, cutting notification latency back to sub-second and reducing duplicates via idempotency/DLQs. Also shipped an LLM-powered natural-language search with schema-constrained JSON outputs and guardrails, plus a plan-execute-verify Jira bug-resolution agent that can propose fixes and raise PRs under restricted permissions.

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Byron Pineda - Staff/Lead Data Scientist specializing in Generative AI, NLP/LLMs, and MLOps in Pascagoula, MS

Byron Pineda

Screened

Staff/Lead Data Scientist specializing in Generative AI, NLP/LLMs, and MLOps

Pascagoula, MS10y exp
TuringMississippi State University

Lead Data Scientist (10+ years) with recent work in healthcare data: built production pipelines that unify EHR, genomics, and clinical notes using NLP (spaCy/BERT/BioBERT) and scalable Spark-based processing. Also led development of domain-specific LLM/NLP systems for chatbots and semantic search, deploying models via FastAPI/Flask and improving retrieval with FAISS-backed, fine-tuned clinical embeddings and RAG-style workflows.

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Cornelius O'Donnell - Director-level Engineering & Program Leader specializing in AI product platforms in San Diego, CA

Director-level Engineering & Program Leader specializing in AI product platforms

San Diego, CA25y exp
Studentsidekiq.comUniversity of San Diego

Technical Program Manager and one of three internal "founders" of HP’s Hardware-as-a-Service home printer subscription initiative, spanning DTC shipping, simplified setup, ink replenishment, and warranty coverage. Led roadmap definition/execution, scaled delivery rapidly to 15+ scrum teams (including vendors) with SAFe-like coordination and shared engineering standards, and drove key architecture trade-offs (building an interim subscription management service) to accelerate time-to-market by about a year.

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Sarath Dunga - Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration in Remote, USA

Sarath Dunga

Screened

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

Remote, USA4y exp
eBayArizona State University

Full-stack engineer (~3 years) with eBay production experience building and operating high-scale, event-driven Python microservices for order processing and AI-powered recommendations (Kafka/Redis/FastAPI on AWS with Prometheus/Grafana). Also delivered polished React+TypeScript analytics dashboards and designed high-concurrency PostgreSQL schemas with significant latency reductions. Recently built AI-agent orchestration and an interactive node-based requirements dashboard for Siemens Polarion via MCP servers, improving user interaction by ~17.8%+.

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ChinmaySanjay Kawle - Junior Software Engineer specializing in cloud developer tools and backend APIs in Seattle, WA

Junior Software Engineer specializing in cloud developer tools and backend APIs

Seattle, WA2y exp
Amazon Web ServicesUniversity of Illinois Chicago

Summer intern on AWS Lambda tooling team who shipped Finch support in AWS SAM CLI, adding OS/runtime detection and robust fallback behavior to preserve Docker compatibility across developer environments. Also built an end-to-end RAG system for querying arXiv quantitative finance papers using Postgres/pgvector with two-stage retrieval, citation-grounded prompting, and rigorous evaluation loops driven by IR metrics and user feedback.

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Ranganayak Meravath - Mid-level Generative AI Engineer specializing in RAG, agentic copilots, and regulated AI

Mid-level Generative AI Engineer specializing in RAG, agentic copilots, and regulated AI

5y exp
LPL FinancialUniversity of North Texas

Senior engineer who built and productionized an Azure-based Enterprise AI Copilot for financial/compliance teams, focused on grounded, auditable answers with citations to reduce hallucinations in regulated workflows. Experienced designing multi-step agent orchestration and improving reliability through targeted iterations (e.g., fixing chunking/parsing to materially improve citation accuracy), plus building defensive pipelines for messy ERP/operational finance data.

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Jason Shankel - Executive Software Engineer/CTO specializing in real-time 3D, game engines, and BIM platforms in San Francisco, CA

Jason Shankel

Screened

Executive Software Engineer/CTO specializing in real-time 3D, game engines, and BIM platforms

San Francisco, CA28y exp
HedralUCLA

Game/interactive systems engineer with shipped Unity/C# work (including performance gains on iOS) and experience building creator-facing tooling like a plain-language level scripting system. Also implemented an OpenAI-powered UGC dialogue/event generation pipeline with offline fallback, and built multiplayer collaborative editing in Unreal for an architectural drafting product using checksum + delta synchronization.

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Cheryl Qian - Junior Product Designer specializing in AI-powered SaaS products in New York, NY

Cheryl Qian

Screened

Junior Product Designer specializing in AI-powered SaaS products

New York, NY3y exp
Yacht LabsCornell University

Product-minded designer/builder who operates at the intersection of UX, support, and engineering. At Miter, they helped launch three products and built the customer-facing readiness layer that contributed to a 15% adoption increase; at Yacht Labs, they designed and implemented high-polish React/Next.js experiences and proposed a spec-driven app generation system to make AI output more controllable and trustworthy.

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HK

Mid-level Full-Stack Software Engineer specializing in cloud and data platforms

Boston, MA5y exp
Northeastern UniversityPenn State University

Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.

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PP

Senior Backend Software Engineer specializing in cloud, microservices, and AI systems

Richardson, TX8y exp
The University of Texas at DallasUniversity of Texas at Dallas

Built an AI-powered job outreach application for his own job search and took it from idea to production use, owning architecture, FastAPI backend, retrieval/generation pipeline, frontend workflow, deployment, and iteration. Especially compelling for teams needing a pragmatic full-stack engineer who can turn LLM-based product ideas into usable, maintainable tools with measurable workflow impact.

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