Vetted Full Stack Engineers

Pre-screened and vetted.

SZ

Mid-level Software Engineer specializing in full-stack development and data solutions

Westport, CT4y exp
SynergyNew York Institute of Technology
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HR

Mid-level Backend & AI Engineer specializing in agentic systems and scalable microservices

Remote, US3y exp
CloserlookUniversity of New Hampshire
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TF

Senior Full-Stack Engineer specializing in React, AWS, and API-driven platforms

Utah, United States14y exp
TrackFlyUniversity of Denver
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KP

Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation

Reston, VA10y exp
HealthTalk A.I.Texas A&M University
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DN

Senior Backend Engineer specializing in Python and AWS serverless/data platforms

Remote10y exp
Luma HealthBiola University
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CC

Staff Software Engineer specializing in Python APIs and AWS-native data platforms

Austin, TX11y exp
UINNOPenn State 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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FN

Junior QA Engineer / SDET specializing in web, mobile, and API testing in banking

Bogor, Indonesia2y exp
Bank Rakyat IndonesiaBINUS University
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CV

Mid-level Full-Stack AI Engineer specializing in agentic RAG and LLM fine-tuning

4y exp
BookedByCalifornia State University, Sacramento
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NH

Senior AI/ML Engineer specializing in LLMs, NLP, and enterprise SaaS

Dallas, TX7y exp
PuzzleHRNorth American University
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JA

Senior Full-Stack Engineer specializing in e-commerce and API-driven platforms

Los Angeles, CA7y exp
OPENSPACESColorado State University
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PP

Mid-level Full-Stack Engineer specializing in AI-powered web applications

Remote, USA2y exp
International Economic Justice League, Inc.Indiana University
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AR

Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems

Manassas, Virginia8y exp
Medallion
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JR

Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3

Toronto, Canada10y exp
Bittensor
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SS

Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems

Palo Alto, CA5y exp
LemmataUniversity at Buffalo

Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.

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SR

Mid-level Full-Stack Engineer specializing in backend APIs on AWS (Healthcare & FinTech)

Cary, NC4y exp
YUG TechnologiesIllinois Institute of Technology

Backend engineer who evolved and migrated a real-time smartwatch telemetry ingestion/analytics platform in a healthcare context, focusing on reliability under poor network conditions. Experienced with Python/FastAPI and Java microservices, PostgreSQL performance tuning, and production-grade security (JWT/OAuth, RBAC, RLS) with incremental rollout and parallel-run migration strategies.

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AP

Junior Full-Stack Engineer specializing in AI/EdTech and real-time web apps

4y exp
RazeMathCal Poly San Luis Obispo

Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.

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DD

Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms

California, USA4y exp
BrillioSyracuse University

Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.

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AM

Adam Martinez

Screened

Entry-level Full-Stack Engineer specializing in web, mobile, and AI-integrated applications

New York City, NY1y exp
BodyCraftManhattan College

Frontend-leaning full-stack engineer who has rebuilt a high-volume order management system in Next.js/TypeScript for 6000+ active orders and also owned end-to-end product/data architecture in Firebase/Firestore. Stands out for strong performance instincts, type-safe frontend architecture, and pragmatic 0→1 execution across UI, APIs, and data pipelines.

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Abe Schor - Senior Full-Stack Engineer specializing in web platforms and scalable backend systems in Atlanta, GA

Abe Schor

Screened

Senior Full-Stack Engineer specializing in web platforms and scalable backend systems

Atlanta, GA8y exp
SmarthopCommunity College of Baltimore County

Backend-focused engineer with deep experience in logistics platforms, including a truck location-tracking system processing roughly 500K requests per day and a dispatcher task platform adopted by a major client. Also has hands-on applied AI experience using OpenAI to parse delivery PDFs into structured trip data, improving operational workflows through automation.

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AE

Arsum Elahi

Screened

Principal Full-Stack Engineer specializing in MERN/MEAN and AWS cloud platforms

9y exp
General AdminThe Leads University

Frontend engineer who has led customer-facing React + TypeScript products end-to-end, building complex dashboards with robust async state patterns (caching, deduping, cancellation, optimistic updates) and strong quality practices (TypeScript standards, layered testing, production monitoring). Experienced modernizing inherited codebases through modularization and performance work (code splitting/memoization) while aligning stakeholders and shipping safely via feature flags and staged rollouts.

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