Vetted Node.js Professionals

“Backend/data engineer experienced building enterprise community-platform services for high-traffic global clients, using Python (FastAPI/Django) on Docker/Kubernetes with PostgreSQL/Redis. Has delivered AWS EKS + Terraform/CI-CD deployments with strong security practices (Secrets Manager/SSM, IAM/IRSA) and has hands-on ETL (AWS Glue), legacy modernization, and incident ownership with measurable performance gains (~30% faster queries).”

“Unity-focused developer pivoting from web development (PHP/JavaScript) into game dev; built a player-facing Shipyard system enabling ship customization/upgrades that added a resource sink and increased player attachment. Demonstrates strong systems thinking and UX polish (icon/naming conventions, range visualization, feedback SFX/VFX) plus some exposure to RPC-style networking and Node.js prototyping.”

“Solo game developer for 3+ years seeking to join a team environment. Built a futuristic "soundwave" gun feature by enhancing weapon detail/rigging in Blender and implementing responsive moving parts and VFX in Unity; observed higher engagement in Poki playtest videos (~15% more time spent). Has implemented multiplayer in small games using Unity Multiplayer Netcode and Mirror, and uses ChatGPT to speed up coding and webgame debugging.”

“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”

“Frontend engineer who has led end-to-end React + TypeScript initiatives, including a shared frontend module used across product lines/regions and an inventory discovery experience for large datasets. Strong in scalable architecture (feature-based, configuration-driven, role-aware components), design systems with Storybook, and performance/quality practices (profiling, CI/CD, automated testing, feature-flagged rollouts). Reported ~30% reduction in duplicate code after refactoring an existing React codebase.”

“Frontend-focused engineer with full-stack capability (Node/Express + MongoDB/MySQL) who emphasizes scalable quality practices: PR-driven reviews, CI quality gates, and a full testing pyramid (Jest/Vitest, React Testing Library, Cypress/Playwright). Built complex React + TypeScript role-based dashboards/workflows using reusable component architecture and layered state management (React Query/SWR, Context for auth/roles), with strong performance and UX polish (Lighthouse, lazy loading, accessibility, responsive design).”

“Lead Unity VR developer who shipped the commercial Meta Quest motorcycle racing game VRider SBK, with deep focus on multiplayer and porting across headsets (including Pico XR and PlayStation VR2). Built custom Unity tooling (tile-based level editor plugin) and applies ML-Agents/LLM workflows to automate AI tuning and repetitive engineering tasks; also taught a VR Lab course at the University of Milan.”

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

“Frontend lead for B2B SaaS products, owning React + TypeScript architecture end-to-end and scaling complex dashboards/workflows with a feature-based structure, shared design system (Tailwind), and strong quality automation. Experienced shipping high-impact features quickly using incremental delivery, feature-flagged rollouts, and performance profiling/optimization to keep production stable as usage grows.”

“Built and deployed an LLM product called "Content Craft" combining BART-based summarization with a RAG Q&A chatbot using LangChain, embeddings, and a vector database. Has hands-on MLOps experience containerizing and serving models with FastAPI and running them on Kubernetes with monitoring, self-healing, and autoscaling, and has practical experience reducing hallucinations through structured prompting.”

“Frontend engineer who led end-to-end development of the Neelum transportation admin panel (React + TypeScript + AntD), building scalable dashboards and multi-step workflows for users/roles/bookings/operational zones. Emphasizes maintainable feature-based architecture, typed API contracts, performance optimization for data-heavy UIs, and disciplined quality/rollout practices (regression checks, feature flags) in fast-paced environments.”

“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”

“LLM/agentic AI builder who deployed a production ITSM automation agent on Google ADK integrating ServiceNow and FreshService, with strong safety guardrails (human-approval gating and runbook-only command execution) and rigorous evaluation (500 synthetic tickets; 80%+ false-positive reduction). Also partnered with finance to deliver an AI agent that automated invoice/SOW retrieval and monthly reporting to account managers, reducing manual back-and-forth.”

“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”

“Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.”

“Software developer with experience delivering and deploying customer-facing web applications, including an investment-focused platform requiring PostgreSQL/SQL optimization and hierarchical (adjacency list) data modeling. Has integrated payment APIs for a retail/antique shop use case, factoring in rate limits and documentation-driven implementation, and has handled time-sensitive production bugs via rapid replication and hotfix deployment.”

“Early-stage builder who blends deep technical product work with go-to-market execution: created developer-focused platform tooling (Rust/Node/React) and at Harper moved from customer success into sales/partnerships, leading an Akamai partnership that ultimately helped close Walmart. Currently building a distributed application platform in Rust and iterating on macro-based abstractions to make Rust feel as approachable as Node.js; has not yet closed a seed round and is seeking a trusted operator counterpart.”

“Graduate student taking advanced coursework in NLP, generative image modeling, and computer vision; built a PPO reinforcement-learning agent for a Super Mario platformer with careful reward shaping and metric-driven evaluation. In a recent internship designing credit risk models, created a 10-method feature-selection voting framework and achieved ~10% out-of-sample performance improvement while reducing features to mitigate overfitting.”

“Builder with hands-on security hygiene experience from developing a helpdesk portal handling sensitive payment/invoice data, focusing on RBAC, least-privilege integrations (QuickBooks/Atera), and tightening API authorization to prevent cross-account access. Also built personal projects integrating Twilio/Callkeep/Supabase/OpenAI with strong key management and defensive handling of real-world API/network failure modes; holds an ISC2 certification and is actively deepening cloud security skills.”

“Game/VR simulation developer who built and shipped multiple VR training levels (e.g., nursing and scientific method) at VXR Labs, owning level implementation and backend logic. Experienced in Unreal Engine 5 Blueprints prototyping (including a horde mode) and in designing tightly gated, step-based educational experiences while collaborating closely with educators/subject-matter experts to balance realism with VR feasibility.”

“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.”

“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.”

“Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.”

“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”