Vetted Next.js Professionals

SaiDheerajReddy Gadikota

Screened

Mid-level AI Engineer specializing in agentic systems and enterprise LLM platforms

USA, USA4y exp

“Current AI engineer at a startup who has spent the last year architecting multi-agent systems for software development workflows. Stands out for combining LLM speed with engineering discipline—using tools like Pydantic, LangGraph, and LangChain to build reliable, production-ready agent workflows with validation, routing, and retry logic.”

“Builder with hands-on experience shipping full-stack products across AWS cloud infrastructure, React/TypeScript apps, SQL-backed systems, and privacy-focused AI workflows. Stands out for combining cost-aware architecture, strong debugging instincts, and product thinking—from an e-commerce platform automated with IaC to a university admin portal serving 10,000+ users and a locally run AI assistant with configurable guardrails.”

“Full-stack engineer at Srasys Inc. who built and owned production payments/checkout for an e-learning platform serving 5,000+ users using Next.js App Router + TypeScript. Deep focus on correctness and reliability (Stripe webhooks, signature validation, DB-level idempotency) plus measurable performance wins (~40% latency reductions) through Postgres indexing/EXPLAIN ANALYZE and Redis-backed caching with CloudWatch monitoring.”

“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”

Citlalli Trejo

Screened

Entry-level Full-Stack Developer specializing in web, iOS, and ML applications

Buena Park, CA1y exp

“Builder-minded software engineer who has shipped a live iOS budgeting app and a solo full-stack web app, with strong evidence of production discipline in both ML and fintech-style integrations. Particularly compelling for roles involving ambiguous product problems, third-party API reliability, and end-to-end ownership from backend logic through user-facing recovery flows.”

Abhay Bisht

Screened

Junior Software Engineer specializing in AI and full-stack SaaS

Bangalore, India2y exp

“AI-first developer who reports using agents for roughly 85% of coding work, with a disciplined process centered on detailed specs, prompt design, review, and testing. Has built a personal multi-agent orchestration setup with specialized agents for testing, PR extraction, review, and synthesis, and stays current through AI engineering newsletters and a network of AI companies.”

“Frontend engineer who led end-to-end delivery of a React/Next.js platform and real-time analytics dashboard at HacknoTech, emphasizing scalable UI architecture and performance. Uses a pragmatic state strategy (React Query for server state, Redux Toolkit for UI state), built shared component libraries with Tailwind, and improved load times by ~40% through code splitting/lazy loading and Lighthouse-driven tuning.”

“Full-stack engineer (4+ years) with a Master’s in Computer Science who owned end-to-end customer-facing social networking features at NextBits, building TypeScript/React/Next.js + NestJS systems with microservices, RabbitMQ, MongoDB, and Redis. Experienced scaling real-time notifications/messaging/presence to millions of concurrent users with sub-100ms performance targets, zero-downtime CI/CD, and internal tooling for monitoring AI/ML pipelines and queue backlogs.”

samuel gomez serrano

Screened

Senior Frontend Engineer specializing in React, Next.js, and TypeScript

Mexico, Remote5y exp

“Frontend engineer who has led workflow-heavy React/TypeScript products end-to-end, emphasizing feature-based architecture, reusable UI patterns (forms/tables/async states/permissions), and performance optimization for data-dense dashboards. Strong track record of shipping quickly with quality via PR standards, targeted testing, UAT, staged rollouts, and iteration driven by analytics, error reports, and operator feedback.”

Lalith Sagar Kambala

Screened

Junior Full-Stack Software Engineer specializing in AI-powered SaaS

United States, USA1y exp

“Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.”

eman akram

Screened

Junior Full-Stack Developer specializing in AI/ML and mobile/web apps

Wah Cantt, Pakistan2y exp

“Built an end-to-end car maintenance application from design through deployment using TypeScript/React with a Node.js + Firebase backend, including OBD integration. Uses mock servers and a layered frontend architecture (UI/state/services separation) to iterate quickly on UX without being blocked by backend or hardware dependencies.”

Volodymyr Rudenko

Screened

Senior Front-End Engineer specializing in React/TypeScript and Next.js for FinTech & SaaS

Calgary, AB9y exp

“Frontend engineer with deep experience in crypto/fintech products, including leading a Next.js/TypeScript crypto wallet and microfrontend platform at 200–300k daily transactions and building a real-time trading dashboard. Strong in scalable architecture (microfrontends + BFF), quality systems (Storybook, testing, Sentry), and performance optimization (including a 30% bundle-size reduction), with proven feature-flagged rollouts and iterative delivery.”

Maheswari Thokala

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs

CA, USA4y exp

“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”

Jorge Reinoso

Screened

Senior Software Engineer & Tech Lead specializing in real-time simulation, VR, and networking

Santiago, Chile9y exp

“Unity/C# tech lead who shipped a VR co-op shooter (ChronoStrike) with a network-synchronized time-dilation mechanic, extending Photon Fusion prediction/reconciliation to handle variable timescales and reporting major stability/performance gains (90 FPS Quest 2; rubber-banding reduced from ~15% of sessions to zero). Also integrated GPT-3.5-powered NPC dialogue with scripted fallbacks for a Transport Canada training simulator, and built a cross-platform VR+mobile neurofeedback app integrating NeuroSky EEG via native iOS/Android plugins.”

“Frontend engineer who led an enterprise Vue 3 product end-to-end with a feature-based architecture and Pinia state management, with a strong emphasis on accessibility at scale. Created and published an accessibility library (vue-a11y-directives) used in a production front-desk app (Hotelkeyapp) and by other developers via npm.”

John Kenny

Screened

Senior Full-Stack Engineer specializing in Web3 and FinTech

Global, Remote6y exp

“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”

“Full-stack product engineer who has built both a production-grade React/Next.js analytics platform and a Stripe-based subscription system end to end, with measurable business impact including churn reduction, reporting automation, and cost savings. Also stands out for 0-to-1 work in the digital art space, where they built an AI-powered cataloguing and delivery pipeline over 30TB of assets using computer vision, Shopify, and cloud infrastructure.”