Vetted Next.js Professionals

“Customer-support/engineering background spanning Informatica PowerCenter ETL and IBM demos/workshops, with hands-on experience hardening data workflows for production (error tables/reject links, validation, restart strategies, alerting, performance tuning). Also demonstrates a clear, systems-level approach to diagnosing LLM/agentic workflow issues (prompt/RAG/tooling/memory) using instrumentation and iterative fixes, and has partnered with sales on POCs by defining success metrics and mapping solutions to customer architectures.”

“Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.”

“Software engineer at Fidelity who led a digital-first transformation of life insurance/annuity sales by building a self-service customer flow (questionnaires, auto-contract generation, eSign) and abstracting complex internal eSign APIs adopted across 8+ teams. Also builds modern real-time web apps (Next.js/React/TypeScript, Supabase/Postgres, WebSockets) and operates services with CI/CD, performance testing, and observability (Jenkins, Datadog, Splunk, Grafana) on AWS EKS.”

Vikram Kini

Screened

Mid-Level Full-Stack Engineer specializing in React, TypeScript, and microservices

3y exp

“Built and productionized an AI agent-based in-app assistant at ISAFE to guide users through document workflows, piloting with a partner school district and then rolling out across districts. Combines hands-on LLM/agent debugging (logs, fallback rates, state/context tracking) with strong technical demos and sales enablement through live workflows and pilot programs (e.g., Osceola School District).”

“Enterprise-minded builder who has owned complex, high-impact systems from discovery through stabilization, including a customer master data platform at AB InBev serving 2,000 sales reps across 13 countries. Also demonstrates strong AI product instincts, having built a first-place ReAct-style NYC property intelligence agent at IBM's AI Demystified Hackathon, while showing deep rigor in data quality, integrations, and production reliability.”

“ML/AI engineer at PNC who has shipped enterprise-grade RAG and document intelligence systems for compliance and policy workflows. Stands out for combining LLM product thinking with production rigor—owning FastAPI/Kubernetes deployments, monitoring, evaluation, and human-feedback loops that drove measurable gains like 40% faster policy search and 30% faster compliance review.”

“Software developer with a one-year Philips co-op who has already applied AI-assisted coding in production, not just side projects. Stands out for using multi-agent development setups with task-specific sub-agents and a clear human-led orchestration philosophy focused on context, quality control, and security.”

“Engineer with a process-driven approach to AI-assisted software development, focused on orchestrating where AI adds value while maintaining human review and verification. Has applied this in backend work such as an S3-based invoice pipeline and used multi-agent workflows to speed up large API refactors across many endpoints.”

Sanjana Chowdary

Screened

Intern Full-Stack Engineer specializing in web applications and AI

New York, NY2y exp

“Engineer with hands-on experience both using AI coding agents in production and building AI systems, including chatbot development and BERT fine-tuning at Atos. At Groupr, they applied strong systems judgment to live operational workflows, validating concurrency decisions manually for an admin portal supporting 500+ orders per day.”

“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”

Aditya Rao

Screened

Mid-level Software Engineer specializing in backend, AI, and distributed systems

San Jose, CA5y exp

“Software engineer with 4.5 years of startup experience across programmatic advertising, health tech e-commerce, and automobile diagnostics, plus both bachelor's and master's degrees in CSE. Built an agentic global supply chain platform in a hackathon using a highly structured AI-first workflow, and has hands-on experience designing multi-agent debate systems, rollout safeguards, and observability-driven production fixes.”

Aman Kushwaha

Screened

Senior Frontend Engineer specializing in React, Next.js, and FinTech UI architecture

Bangalore, India4y exp

“Frontend/product engineer with strong ownership across architecture, deployment, and cross-functional product decisions, especially in finance workflow systems. Built a metadata-driven React/TypeScript framework at Hyperbots that cut feature development effort by ~70% and manual effort by 50%+, and has also driven backend API cleanup, real-time experiences, and a full GA4 tracking architecture redesign.”

Brian Lam

Screened

Mid-level Full-Stack Engineer specializing in AI and FinTech

New York, NY12y exp

“Frontend-focused engineer working in Next.js/React who has owned complex internal and partner-facing browser workflows, including a multi-step CSV onboarding wizard and an admin quiz editor. Stands out for practical debugging skill on production-only timezone issues and for building resilient, typed form-heavy UIs with strong error handling.”

“Frontend-focused product engineer with strong React/TypeScript architecture depth who built a streaming AI chat demo at Cleanlab in just 2 weeks that became the centerpiece of every sales call. They combine real-time UX, API contract design, observability, and design-system ownership, and have also built high-density Kubernetes operational dashboards while stepping into product design when resources were limited.”

“Frontend engineer with hands-on experience building React/Next.js/TypeScript production features, including a driver partner registration site and a statistics dashboard with interactive maps. Demonstrates practical strength in reusable component design, CSS/layout debugging, responsive UI quality, and performance optimization for data-heavy interfaces.”

Michael Zhu

Screened

Mid-level Frontend Software Engineer specializing in React and e-commerce UI

West Hollywood, CA5y exp

“Frontend engineer with strong React/TypeScript depth who has shipped reusable CMS-driven UI architecture and improved production performance by eliminating inefficient per-component API calls. Particularly strong in maintainable component design, pagination/state management, and practical UX optimization using tools like Chrome DevTools and Theme UI.”

Vinay K Naidu

Screened

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

5y exp

“Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.”

“Frontend engineer with production experience at UWM and Ford.com, focused on complex UI architecture, dynamic form systems, and high-performance interactive experiences. Stands out for rebuilding problematic React/Redux patterns into reactive RxJS-driven architectures, with measurable wins like reducing an 8-second, 5,000-request widget to a fast, stable experience, and for also building advanced personal projects in Solid.js, mapping, and WebGL.”

“LLM/RAG engineer who took a PDF-heavy agent from prototype to production for an Africa-based client, combining Pinecone retrieval with robust PDF parsing (unstructured.io, OCR, structured table extraction). Demonstrates strong production mindset (eval metrics, prompt hardening, security/scalability) and measurable optimization impact (30% efficiency gain, 2x faster responses), and has helped close deals by building security-focused POCs for skeptical IT stakeholders.”

“JavaScript/TypeScript engineer with proven open-source impact: delivered a major reliability upgrade to a retry/error-handling library (standardized typed errors, added exponential backoff, expanded Jest tests, and implemented GitHub Actions CI) that was merged and released. Demonstrates strong performance engineering and debugging skills (profiling-driven optimization; diagnosed a race condition causing inconsistent retries) plus a documentation-first approach to developer experience.”

“Backend/microservices engineer who built a Python (Flask/MySQL) data-processing microservice for an internal analytics platform and improved slow responses via query optimization and caching. Has hands-on Kubernetes experience on AWS EKS with GitLab CI/CD, plus GitOps workflows using Helm and ArgoCD. Also built a real-time Kafka order-event pipeline and supported a cloud-to-on-prem migration with standardized, containerized configuration and gradual traffic cutover.”

“Backend engineer who has delivered large, measurable performance wins (10x throughput, 67% latency reduction) by combining Flask microservices, Redis caching, and AWS autoscaling/observability. Has hands-on depth in SQLAlchemy/Postgres optimization and production scaling pitfalls (cache consistency, connection exhaustion), plus experience deploying real-time ML inference (XGBoost) on AWS Lambda and building secure multi-tenant Kubernetes isolation.”

“Backend engineer with experience at Roche and Jarsy focused on API and data-layer performance. Re-architected slow generalized endpoints into more efficient APIs (30% faster lookups) and led a schema refactor/migration with feature-flag rollout, dual writes, rollback scripts, and automated integrity checks; also addressed pipeline duplicate-entry issues via deduplication.”

“Built and scaled a multi-agent LLM automation pipeline during a fintech internship, growing from a rapid 1-week proof-of-concept to a 15+ agent hierarchical system that cut market brief report generation time from ~5 hours to under 30 minutes. Hands-on with agent frameworks (Haystack, CrewAI, LangChain) and experienced in debugging agent communication issues via sandboxed modular testing and context/token management; also regularly gives architecture-first technical demos at multiple hackathons and university events.”