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Senior Full-Stack Engineer (React, Node, AWS, LLM)

Location:
Queens, NY
Posted:
June 23, 2026

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Resume:

Sapana Subedi

***************@*****.*** 571-***-**** linkedin.com/in/sapanasubedi

Senior Full-Stack Software Engineer React · TypeScript · Node.js · AWS · AI/LLM

PROFESSIONAL SUMMARY

Senior Full-Stack Software Engineer with 7+ years of experience building secure, scalable, performance-optimized applications using React, TypeScript, Node.js, REST APIs, AWS, SQL/NoSQL databases, CI/CD pipelines, and cloud-native architecture. Strong frontend depth with experience leading modern React UI initiatives, design systems, responsive applications, state management, and user-facing product experiences. Experienced building AI/ML and LLM-powered application layers using OpenAI/Claude-style APIs, prompt design, vector storage, retrieval strategies, RAG workflows, MLOps concepts, AI observability, and AWS services including Lambda, ECS, S3, DynamoDB, and Step Functions. Product-minded engineer with fintech experience, strong communication skills, and a track record of leading initiatives from concept to delivery, defining MVPs, mentoring engineers, and collaborating closely with product managers, designers, and engineering leaders.

TECHNICAL SKILLS

Frontend: React.js, TypeScript, JavaScript ES6+, Next.js, HTML5, CSS3, Responsive Design, Design Systems, Reusable Components, Accessibility, Performance Optimization

State Management: Redux, XState concepts, Nanostores concepts, Zustand, Context API, TanStack Query, Client-Side Caching, Form State, Async Workflows

Backend: Node.js, Express.js, NestJS, REST APIs, API Design, Microservices, Backend-for-Frontend, Service Layer Architecture, Secure API Development

AWS Architecture: AWS Lambda, ECS, S3, DynamoDB, Step Functions, API Gateway, RDS, SNS/SQS, IAM, CloudWatch, SSM, Serverless and Containerized Applications

AI/ML & LLM: OpenAI API, Claude API, Vertex AI concepts, AWS Bedrock concepts, LLM Integration, Prompt Design, RAG, Vector Storage, Retrieval Strategies, AI Agents

MLOps & AI Delivery: AI Pipeline CI/CD, Model Output Validation, Prompt Evaluation, AI Observability, Langfuse-style Tracing, Responsible AI Experimentation

Databases: PostgreSQL, MySQL, SQL Server, MongoDB, DynamoDB, Redis, Elasticsearch, Data Modeling, Query Optimization, Indexing, Caching Strategies

DevOps & Quality: Git, GitHub Actions, Jenkins, GitLab CI/CD, Docker, Kubernetes, Terraform, Unit Testing, Integration Testing, E2E Testing, Jest, Playwright

Security & Compliance: Secure Coding, OAuth2, JWT, IAM, RBAC, Data Privacy, PII Handling, Input Validation, Encryption Concepts, Audit-Friendly Logging

PROFESSIONAL EXPERIENCE

Wells Fargo Senior Software Engineer Burke, VA Sep 2023 – Present

• Led development of scalable full-stack applications using React, TypeScript, Node.js, REST APIs, Java/Spring Boot services, AWS services, SQL/NoSQL databases, Docker, and CI/CD pipelines.

• Owned frontend-heavy product initiatives from discovery through delivery, partnering with product managers and UX designers to define MVPs, break work into prioritized phases, and remove technical blockers.

• Built modern React and TypeScript user interfaces including dashboards, workflow screens, data tables, forms, reusable components, responsive layouts, and design-system aligned UI patterns.

• Implemented state management and client-side data workflows using Redux, Context API, TanStack Query, XState-style state machines, and lightweight store patterns similar to Nanostores.

• Designed and maintained Node.js REST API services and backend-for-frontend layers to support user-facing workflows, API aggregation, validation, authorization, and secure data exchange.

• Built AWS-based application components using Lambda, ECS, S3, DynamoDB, API Gateway, SNS/SQS, Step Functions, IAM, CloudWatch, and serverless/container deployment patterns.

• Integrated AI/LLM-powered application features using OpenAI/Claude-style APIs, prompt design, retrieval strategies, vector storage concepts, and RAG-based workflows for search, summarization, and decision support.

• Created tools and reusable service patterns that helped engineers experiment with AI-enhanced features safely, including prompt templates, evaluation checks, logging, and model response validation.

• Supported MLOps and AI delivery practices including AI pipeline CI/CD concepts, prompt/version tracking, model output validation, observability, error analysis, and feedback-loop monitoring.

• Improved application performance by optimizing React rendering, API payloads, SQL queries, DynamoDB access patterns, caching strategies, AWS Lambda execution, and frontend bundle size.

• Implemented secure coding practices including OAuth2/JWT flows, IAM permissions, RBAC, input validation, PII-aware logging, encryption concepts, dependency hygiene, and secure API design.

• Mentored mid-level and junior engineers through code reviews, technical design sessions, debugging support, testing strategy, and frontend/backend architecture best practices.

• Built and maintained CI/CD pipelines with GitHub Actions, Jenkins, Docker, automated tests, deployment validation, and environment configuration to streamline development and releases.

• Communicated clearly with stakeholders, product leaders, designers, QA, and engineering teams by sharing delivery status, risks, trade-offs, and technical recommendations.

Verisk Analytics Software Engineer / Team Lead Jersey City, NJ Sep 2021 - Aug 2023

• Led full-stack development of enterprise applications using React, TypeScript, Node.js, REST APIs, GraphQL, PostgreSQL, MongoDB, Redis, AWS services, and CI/CD pipelines.

• Designed frontend architecture for React applications, reusable component libraries, responsive pages, dashboard workflows, and product-facing features with strong usability and performance focus.

• Built Node.js and Express API services for workflow automation, reporting, search, authentication, data aggregation, and integration with backend microservices.

• Collaborated with product managers, designers, architects, QA, and data teams to translate business goals into technical plans, release phases, and production-ready features.

• Developed AWS-backed workflows using Lambda, S3, DynamoDB, API Gateway, SNS/SQS, CloudWatch, and Step Functions-style orchestration for event-driven business processes.

• Integrated AI-assisted proof-of-concepts using LLM APIs, prompt engineering, RAG concepts, vector retrieval patterns, and chatbot-style workflows for productivity and knowledge discovery.

• Built secure RESTful APIs and UI workflows with role-based access, validation, error handling, structured logging, audit-friendly events, and secure data handling patterns.

• Improved application quality by adding automated tests with Jest, React Testing Library, Playwright, unit tests, integration tests, and regression coverage for critical workflows.

• Optimized database queries, Redis caching, API latency, React rendering, and build performance to improve user experience and application reliability.

• Mentored 3-5 engineers through code reviews, sprint planning, technical documentation, architecture discussions, and clean engineering practices.

• Maintained Git workflows, pull request standards, CI/CD pipelines, Docker-based environments, deployment documentation, and production release support.

Verscend Technologies Software Engineer Kathmandu, Nepal Sep 2019 - Aug 2021

• Built healthcare and analytics-focused full-stack applications using React, TypeScript, JavaScript, Node.js, Java, REST APIs, PostgreSQL, MongoDB, Redis, and cloud-based deployment workflows.

• Developed responsive frontend screens for dashboards, reporting tools, operational workflows, billing-style screens, search, filtering, and data-driven user experiences.

• Created backend APIs for authentication, user management, reporting, data processing, validation, business logic, and third-party integrations.

• Implemented REST API integrations with JSON payloads, async data fetching, loading states, validation, error handling, pagination, and secure data presentation.

• Supported data privacy and security practices through access control, validation, audit-friendly logs, protected APIs, and careful handling of sensitive business data.

• Improved application performance by optimizing SQL queries, Redis caching, API response times, frontend rendering, and backend processing workflows.

• Participated in Agile ceremonies, code reviews, testing, defect resolution, production support, technical documentation, and deployment activities.

Cedar Gate Technologies Software Engineer Kathmandu, Nepal Sep 2018 - Aug 2019

• Developed web application features using React, JavaScript, Node.js, REST APIs, SQL databases, Git, Linux/Unix, and backend service integrations.

• Built reusable UI components, reporting screens, data-entry workflows, responsive layouts, API-driven features, and database-backed application modules.

• Assisted with API testing, SQL query updates, frontend defect resolution, backend debugging, peer code reviews, technical documentation, and release support.

PROJECT EXPERIENCE

AI-Powered Product Assistant and Search Layer

• Built an AI-enhanced product layer using React, TypeScript, Node.js REST APIs, OpenAI/Claude-style LLM APIs, prompt design, vector storage concepts, and retrieval strategies.

• Designed application services for prompt orchestration, context retrieval, response validation, error handling, trace logging, and responsible experimentation with AI features.

• Supported AI observability and MLOps-style practices including prompt evaluation, model response monitoring, feedback capture, and CI/CD concepts for AI-enabled workflows.

AWS Serverless and Event-Driven Workflow Platform

• Designed cloud-native workflows using AWS Lambda, ECS, S3, DynamoDB, Step Functions, API Gateway, SNS/SQS, IAM, CloudWatch, and secure REST API patterns.

• Built orchestration flows for background jobs, async processing, retries, workflow status tracking, and integration with user-facing React applications.

• Improved release reliability through CI/CD automation, Docker builds, environment validation, test automation, and observability dashboards.

FinTech Dashboard and Financing Workflow Platform

• Built frontend-heavy fintech-style workflows using React, TypeScript, state management, REST APIs, SQL/NoSQL databases, and secure backend services.

• Created user-facing dashboards, reporting views, workflow steps, form validation, payment/financing-style screens, and operational tools for business users.

• Applied secure coding, data privacy, role-based access, audit-friendly logging, and performance optimization across frontend and backend layers.

EDUCATION

Bachelor of Science in Computer Science and Information Technology

Asian College of Higher Studies, Tribhuvan University



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