Vetted REST API Professionals

“Full-stack engineer with hands-on ownership of a production AI knowledge assistant used by 10,000+ daily users. Combines React/Next.js frontend work with FastAPI, AWS serverless, and RAG architecture using GPT-4, LangChain, and Pinecone, with measurable impact on relevance, latency, uptime, and support deflection.”

“Frontend-focused builder with startup and open-source experience, including a real estate management SaaS for homeowners that integrated AI document parsing, OCR, auto-tagging, and chatbot features. They also show strong product instincts through A/B testing, direct user interviews, and community-led design decisions that achieved roughly 90% acceptance.”

Saswata Deb

Screened

Mid Backend Engineer specializing in AI systems and LLM infrastructure

India4y exp

“Early-to-growth-stage B2B SaaS engineer from Sentisum who combined Python backend, data pipeline, and applied AI work with direct customer-facing product input. Particularly compelling for startup roles: they owned systems end-to-end, migrated transcription infrastructure to cut costs by ~93%, and built scalable async export and data-processing workflows over large enterprise conversation datasets.”

Irina Morris

Screened

Senior Full-Stack Engineer specializing in scalable web platforms and cloud migrations

Remote11y exp

“Full-stack architect/engineer with startup and Meta experience who built a real-time school safety and lockdown coordination platform used by schools and emergency organizations. Particularly compelling for roles requiring ownership in ambiguous environments, real-time systems design, and configurable B2B SaaS platforms in high-stakes domains.”

“Full-stack/AI engineer with very recent startup experience building creator and CRM AI platforms. They combine React/TypeScript frontend work with Python-based LangChain/LangGraph AI workflows and Go microservices, and have practical experience hardening third-party integrations through abstraction layers, versioning, monitoring, and alerts.”

Alex Archer

Screened

Staff Full-Stack Engineer specializing in Python, AI systems, and cloud SaaS

Anna, TX8y exp

“Full-stack startup engineer from a 20-30 person company who led a legacy monolith breakup into microservices, improving response times by 30% and database performance by 20%. Has hands-on experience across React/Next.js, TypeScript, Go, Python, and AI/data pipeline work, including building AI-driven platforms for freight and publisher-focused B2B SaaS products.”

Ethan Ligi

Screened

Junior Full-Stack Software Engineer specializing in web and cloud applications

Prospect, CT2y exp

“Frontend developer who described building a security-conscious admin dashboard login and event management interface using React, TypeScript, Astro Islands, Tailwind, and an AWS serverless stack. Notable for combining SEO-friendly frontend architecture with budget-aware infrastructure choices for a small-usage business application.”

Nandini Patel

Screened

Junior Mobile App Developer specializing in cross-platform sports fan engagement

Los Angeles, CA3y exp

“Front-end engineer with hands-on experience building analytics-heavy React dashboards and performance-sensitive browser UIs across marketing and live-broadcast products. Stands out for combining deep browser fundamentals, analytics-driven UX improvements, and strong TypeScript discipline to ship interfaces that are both measurable and reliable.”

“Full-stack and AI systems engineer who has built across ride-hailing, fintech, higher-ed support, and legal-tech workflows. Stands out for shipping production RAG/agent systems with careful grounding and human fallback, while also delivering hard backend architecture wins like geospatial dispatch scaling and cutting fintech payment latency from 60 seconds to 2 seconds.”

“Full-stack engineer who has built merchant marketing products end to end, including a unified campaign management system and an AI-assisted campaign generation pipeline using GPT-4-class models and LangGraph. Stands out for combining TypeScript-heavy product engineering with practical LLM architecture, evaluation, and guardrail design in production, plus experience operating in ambiguous early-stage environments.”

“Backend/full-stack engineer with experience spanning AI-powered fintech features and high-volume roadway surveillance/ALPR platforms. They have owned production APIs, improved API latency by 35% through database/query optimization, and helped drive a Kafka-based ingestion architecture that increased throughput by 30% while improving reliability at scale.”

Joseph Prezioso

Screened

Senior Software Developer specializing in full-stack systems and data platforms

Remote8y exp

“Full-stack developer from the title insurance space who has owned high-impact features in AccuTitle's flagship products, including a 1099 self-service signup flow and an AI-assisted transaction builder. Brings hands-on experience building regulated, customer-facing systems at scale, with strong domain knowledge around state- and county-specific title workflows and fees.”

“Founding-engineer-style full-stack and AI product builder who has shipped production conversational agents in hospitality and earlier helped build an AI sports analytics startup through acquisition. Stands out for combining React/TypeScript frontend ownership, FastAPI backend design, and sophisticated LLM/RAG/agent systems with strong production monitoring and clear business impact.”

“Candidate worked on an AI-powered commercial real estate document analysis product at Ariesview, building workflows that ingest leases and property reports, run OCR, persist structured outputs, and support grounded Q&A via RAG. They stand out for practical ownership of messy production problems like noisy PDFs, document-state consistency, and backward-compatible schema migrations in a fast-moving product environment.”

“Backend/data engineer focused on AWS-based, low-latency event processing for market data and social-signal sentiment systems. Has led a monolith-to-event-driven migration with feature-flagged incremental rollout, and emphasizes production-grade security (OAuth2/JWT, secrets management, Supabase RLS) and data integrity (deduplication/idempotency) under high-volume spike conditions.”

“Backend Python engineer who has built an LLM agentic tutoring/assignment helper with a custom pipeline for parsing visually complex textbooks (integrating AlibabaResearch VGT and implementing missing preprocessing from the paper), improving RAG grounding with ~90% cleaner extracted text. Also led major platform scaling work by refactoring monolithic image processing into Celery-based async microservices on AWS (GPU/CUDA + S3), and implemented Kafka streaming for payment webhooks with strict ordering, idempotency, and multi-zone fault tolerance.”

“Backend/data engineer with aerospace telemetry and reporting experience across RTX and other orgs, spanning Python/FastAPI microservices, AWS serverless/containers, and AWS Glue-to-Redshift analytics pipelines. Has led legacy modernization with parallel-run parity validation and incremental rollout, and demonstrates strong operational ownership (monitoring, incident response, and cost optimization).”

“Unity gameplay engineer with hands-on experience building deterministic state/input systems that improve responsiveness and frame stability, validated through profiling and playtests. Also implemented multiplayer gameplay using Photon Fusion/PUN, addressing latency and input feel via local simulation plus reconciliation, and uses AI tools to accelerate debugging and iteration.”

“Software engineer (Alpine Bank) focused on modernizing high-traffic customer-facing systems with React/TypeScript frontends and Spring Boot microservices. Has hands-on experience stabilizing and scaling event-driven architectures with Kafka (idempotent consumers, partitioning, retry queues) and building internal observability dashboards that materially sped up post-deployment verification and improved release confidence.”

“Frontend engineer with enterprise B2B and healthcare web experience, specializing in React/TypeScript architectures for complex, permissioned workflows and data-heavy admin dashboards. Has modernized legacy codebases with improved state management (Redux/Zustand/Rematch, IndexedDB caching) and shipped fast Next.js SEO/performance-focused builds under tight deadlines, including measurable bug-ticket reduction via improved error reporting.”

“Full-stack intern at Rebel who owned backend work on a cross-platform music platform using Python/Django with MongoDB, implementing user-focused REST APIs end-to-end. Also built CI/CD pipelines (Jenkins/GitHub Actions) to containerize and deploy to AWS, and has experience integrating Kafka-based real-time event processing with reliability and observability practices.”

“Built SparkyAI, a gamified college-essay writing assistant (hackathon project at ASU in 2025) using React/styled-components, Firebase (OAuth/DB), and OpenAI APIs, with concrete scalability and performance measures like rate limiting, indexed queries, code splitting, and conversation caching. Also designed a global low-latency voice-to-LLM architecture leveraging WebRTC, regional containerized services, global load balancing, streaming STT/TTS, and end-to-end encryption with minimal logging.”

“Healthcare-focused ML/LLM engineer who built a production hybrid RAG workflow to automate prior authorization by retrieving from medical guidelines/historical cases (FAISS) and generating grounded rationales for clinicians. Strong in operationalizing ML with Airflow/Kubeflow/MLflow on SageMaker, optimizing latency (ONNX/quantization/async), and reducing hallucinations via evidence-only prompting; also partnered closely with clinical ops to deploy a readmission prediction tool used in daily rounds.”

“CloudData engineer who productionized an LLM assistant for a warehouse/logistics customer by wrapping it as a versioned, containerized API with guardrails, deterministic post-processing, and full observability. Experienced diagnosing real-time RAG/agentic incidents (latency spikes and confident-wrong answers) using trace-based isolation, replay in staging, retrieval tuning, and canary releases. Regularly runs technical demos/workshops and partners with sales on security/IAM, SLAs, and pilot rollouts to drive adoption.”