Vetted Node.js Professionals

“LLM/agent builder who has shipped production AI systems in the wellness space, including an LLM-powered food tracking product used by 5000+ users and a voice/call-routing onboarding workflow using LangGraph/LangChain with LiveKit and Twilio. Strong focus on practical reliability work: latency reduction, retrieval/embedding tuning, and CI-driven evaluation with simulations and metrics.”

“Frontend engineer with experience delivering complex, data-heavy React + TypeScript dashboards in financial services (Morgan Stanley), including React 18 migration and rigorous quality practices (~80% test coverage). Also improved an existing collaboration product (Heycollab) by reducing duplication and boosting performance ~30% using component modularization, API optimizations, code splitting, and virtualization; experienced with phased rollouts and feature flags for risk-sensitive releases.”

“Software engineer with experience across data engineering and backend/platform work: owned a Databricks/PySpark real-time pipeline powering customer dashboards with a 15-minute SLA, and helped modernize an investor web app from JSP to React/TypeScript with API + SQL/materialized-view performance improvements. Also contributed to breaking a Java monolith into microservices (Redis + gRPC on AWS EKS) and built an EC2-deployed Play Store/App Store crawler that reduced third-party data costs.”

“Software engineer with deep healthcare claims domain experience who has owned customer-facing portals end-to-end (Java/Spring Boot + React/TypeScript) and improved usability/performance based on real user feedback. Built microservices using REST and RabbitMQ with strong observability (Splunk/cloud metrics), and delivered an internal claims investigation dashboard that streamlined operations through centralized data, search, and filtering.”

“Software engineer with BitSight experience owning and revitalizing a critical internal Entity Management Portal (Django/React), clearing 30+ backlog items and boosting internal workflow efficiency ~40% through performance re-architecture (Redis caching) and disciplined testing. Also built a collaborative chore management platform (React/FastAPI) emphasizing responsiveness (optimistic UI) and scalability (connection pooling, Docker), and improved microservices security by centralizing secrets management with AWS Secrets Manager across multi-cloud environments.”

“Built and deployed a production real-time voice AI support agent that answers inbound calls, identifies callers, troubleshoots via a knowledge base, and automatically creates/updates tickets with escalation to humans when needed. Demonstrates strong reliability/latency engineering (streaming, schema validation, idempotency, DB constraints) and uses LangGraph state machines plus OpenAI Agents SDK for multi-agent routing, with KPI-driven testing and monitoring.”

“Built a live free-to-play web-based financial market simulation game (YouTube-channel stock market) as a hobby project, now serving 3000+ users. Implemented core F2P systems including gacha, timed progression gates, and analytics-driven monitoring of engagement and economy health using a TypeScript/Python stack with Redis and Postgres.”

“JavaScript/React performance-focused engineer who contributed upstream to an open-source virtualization/pagination library, fixing overlapping-fetch race conditions and introducing prefetch/deduping patterns that cut load times from ~3s to <900ms and reduced render thrash ~35%. Also built healthcare automation systems (clinical summary and claims triage), including a FastAPI + RAG pipeline that retrieved CPT/ICD evidence, improving decision accuracy from 67% to 86% and reducing turnaround time by 40%.”

“Backend engineer who built and optimized a high-traffic e-commerce platform in Python/Flask, focusing on scalability and reliability through service decomposition, Redis caching, and Celery-based background processing. Also integrated an AI intent-classification chatbot as a separately deployable inference service on AWS and has hands-on experience designing multi-tenant data isolation strategies in PostgreSQL.”

“Full-stack engineer who owned enterprise workflow platforms end-to-end at Northern Trust and Elevance Health—building NestJS/Java Spring Boot APIs, React UIs, and cloud deployments on GCP Cloud Run. Strong in data-heavy applications (hundreds of thousands of records) with proven production performance tuning (indexing/query rewrites, Cloud Run concurrency/min instances) and secure RBAC via Azure AD.”

“JavaScript/Node.js engineer with open-source contribution experience (Mongoose) focused on connection pooling, test reliability, and memory/resource management. Has diagnosed and fixed real-world performance issues in an insurance claims application and improved resilience via failover DB design. Also experienced producing compliance/governance documentation for an EU-based biopharma, enabling stakeholders to make decisions quickly amid changing regulations.”

“Engineering/technology leader (CTO-style) with experience scaling orgs and running distributed teams across four continents for over a decade. Led a high-stakes modernization of a securities trading platform at Wedbush—migrating from monolith to microservices on AWS with zero-downtime constraints—driving 45% execution performance improvement and enabling 25% market share growth. Emphasizes business-aligned roadmaps, build-vs-buy rigor, and scalable engineering practices/culture.”

“Backend-leaning full-stack engineer who ships AI-enabled products end-to-end: built CodeChat, a production internal codebase Q&A tool using RAG with Pinecone and a model-agnostic wrapper across OpenAI/Anthropic/AWS Bedrock, cutting AWS costs ~50% and latency ~45%. Also built and operated RealityStream, a Flask-based real-time forecasting API with JWT/RBAC, MLflow model versioning, and Prometheus/Grafana observability, including handling a real production latency incident via rollback, preloading, and caching.”

“Product-focused full-stack engineer who built and shipped an LLM-powered document-to-flashcard conversion pipeline end-to-end (backend + React/TypeScript UI) in ~10 days. Experienced with event-driven queue/worker systems (Redis/BullMQ), PostgreSQL performance tuning, and AWS production operations, including resolving real scaling incidents and driving reliability from ~70% to nearly 100%.”

“QA engineer with Citibank experience owning mobile automation and cross-platform validation (Android/iOS), including push notifications, RBAC, and backend API/data sync checks. Demonstrates strong Cypress/JavaScript E2E expertise—stabilizing CI-flaky React tests via cy.intercept—and builds pragmatic GitLab CI pipelines with smoke/regression gating plus rich reporting (Cypress Dashboard, Slack).”

“Early engineer at a fast-growing startup who owned an AI-powered portfolio/site generation workflow end-to-end (frontend in Next.js App Router/TypeScript through backend orchestration). Emphasizes server-first security/performance (Server Components/Actions, revalidation), and production hardening with validation, caching, observability, retries/idempotency, and CI/E2E testing.”

“Former co-founder at PreConception (acquired) who partnered closely with Operations, Legal, and Medical teams to deliver a HIPAA-compliant product meeting technical and regulatory requirements. Motivated by mission and team fit, and interested in a Venture Studio CTO path with a focus on 0-to-1 building and early validation via beta testing/PMF.”

“Junior Unreal Engine developer who owned end-to-end UI implementation for a UE5 horror-game vertical slice, building production-minded subtitle and interaction UI with responsive UMG layouts and polished transitions. Demonstrates strong UI architecture instincts (MVVM-style separation, layered screen ownership, cross-input focus behavior) and uses Unreal profiling tools to diagnose and reduce redundant UMG updates.”

“Backend/full-stack engineer from Foxconn Industrial Internet who led development of a production TypeScript/Node.js facility monitoring platform delivering near real-time manufacturing metrics (e.g., downtime and OEE) using MySQL + InfluxDB and a React dashboard. Demonstrates strong production operations mindset with queue-based workers, idempotency/DLQ patterns, structured observability, and automated Docker + GitLab CI/CD deployments.”

“Built and shipped production RAG-based LLM agents automating multi-step document query workflows, emphasizing reliability via monitoring, retries, structured exception handling, and fallback retrieval (alternative embeddings/keyword search). Demonstrated measurable gains (18% latency improvement, 25% retrieval efficiency, 12% precision) and has experience integrating agents with messy tax and transaction data at RSM using validation/cleaning and idempotent design.”

“Full-stack engineer who built an AI-driven document analysis and processing workflow end-to-end, including large-document ingestion, queued async processing, and low-latency retrieval for user-facing flows. Demonstrated practical performance tuning (moving heavy work off request path, polling, caching) and Postgres optimization validated with EXPLAIN ANALYZE, plus durable workflow resilience via retries and dead-letter queues.”

“Full-stack React/Next.js engineer focused on routing and data-fetching reliability, including handling slow/unreliable networks with loading states, retries, and request cancellation to prevent stale data. Has delivered measurable frontend performance gains (reported ~40% improvement in time-to-interactive) using lazy loading, memoization, and profiling with React Profiler.”

Subhash Krishnamoorthy

Screened

Executive Technology Leader specializing in digital transformation, headless e-commerce, and cloud architecture

Chesterfield, VA25y exp

“Technology leader focused on business-aligned roadmaps and integration-heavy ecommerce platforms. Recently delivered an on-time launch for lutusooking.com (a premium Hamilton Beach brand) by coordinating UX/UI, component-based middleware, BigCommerce, Algolia search, personalization/recommendations, payments, and supply chain integrations, and later improved scalability via a Jitterbit iPaaS approach proven during Black Friday/Cyber Monday traffic.”

Ramcharan Reddy

Screened

Mid-level Full-Stack Developer specializing in FinTech platforms and cloud-native microservices

Texas, USA6y exp

“Backend engineer focused on AI-enabled systems, having built a production-style RAG pipeline (vector search + LLM) exposed via Python/Flask endpoints with strong observability and hallucination-reduction techniques. Demonstrates deep performance work in PostgreSQL/SQLAlchemy (5x faster analytics queries) and high-throughput optimization using Celery + Redis (800ms to 120ms latency, 3x throughput), plus schema-per-tenant multi-tenancy with tenant-aware middleware and logging.”