Full-Stack Engineer with AWS Expertise

NIDHI PARESH TAILOR

*****.*.******@*****.*** https://www.linkedin.com/in/nidhi-paresh-tailor/ https://github.com/tailornp SUMMARY

Full-Stack Engineer with Masters in Management Information Systems and 4+ years of experience building scalable web applications using Node.js, React.js, TypeScript, Angular, and AWS, with a track record of working in fast-paced environments with a high sense of ownership and delivering features end-to-end.

SKILLS

Languages & Backend: Node.js, JavaScript, TypeScript, Express.js, Python, FastAPI, GraphQL Frontend: React.js, Angular, HTML5, CSS3, Tailwind CSS, Bootstrap, Next.js Cloud & DevOps: Amazon Web Services (AWS), Google Cloud Platform (GCP), Version Control ( Git ), CI/CD, Microservices, Docker, GitHub Actions, Jenkins

AI Tools & Frameworks: Ollama, Langchain, GitHub Co-Pilot, ChatGPT, Gemini, Claude Databases: MySQL, PostgreSQL, MongoDB, Firebase, DynamoDB, ElasticSearch Tools & Collaboration: Git, GitHub, Jira, ClickUp

Testing: Jest, Test-Driven Development (TDD)

PROFESSIONAL EXPERIENCE

Software Engineer (Full-stack), Holiday Channel (Pre-Seed Start-up) Colorado Springs, CO Nov 2025 - Present

● Payment workflows: Integrated Stripe to handle secure vendor payments, ensuring smooth financial transactions across the marketplace.

● Scalable frontend: Developed a dynamic and scalable frontend using React.js/Next.js and Tailwind CSS, focusing on high performance and clean, responsive design, and design consistency via common components.

● Data Modelling and Operational Efficiency: Designed a flexible database schema and backend data models to support dynamic page structures, allowing non-technical users to control site themes and layouts directly via CMS. Constructed a "headless" style content system that decoupled the UI from the data, reducing the need for developer intervention when updating webpages and themes.

● Cloud Migration: Managed the transition of backend services from Render to AWS, configuring EC2 and VPC settings to enhance system security and reliability while setting up CloudWatch for real-time performance monitoring. Product Engineer, Qu (Pre-Seed Start-up) Buffalo, NY Feb 2025 - May 2025

● Data Dashboard: Built a comprehensive data dashboard using React.js and Bootstrap, allowing the user to view the most popular topics across various social media platforms and data sources.

● Secure API Development: Built a scalable Node.js backend providing RESTful APIs for frontend features, integrating Role-Based Access Control (RBAC) to ensure users only see and interact with data permitted by their account type.

● Product Roadmap Ideation: Guided product discovery sessions with the founder and authored technical documentation, achieving 90% alignment between business goals and product functionality.

● Security & Scalability: Deployed the application on AWS EC2 within a secure VPC, maintaining a focus on enterprise-grade performance. Senior Software Engineer (Full-stack), Nubolerta Technology Solutions Pvt. Ltd Aug 2023 - Jun 2024

● Async Transaction Processing: Led a team of four to develop asynchronous inter-bank transaction processing service, utilizing cron workflows and secure third-party APIs for end-to-end processing and notifications.

● Cloud Automation: Leveraged AWS Lambda to automate data verification during large-scale migrations, ensuring 100% data accuracy and completeness.

● Operational Excellence: Boosted team efficiency by 40% by leading Agile sprint planning and prioritizing technical requirements with stakeholders.

Software Engineer (Full-stack), Aubergine Solutions Pvt. Ltd Apr 2022 - Jun 2023

● Microservices Architecture/Distributed Systems: Implemented service-based microservices with Node.js/Express/Typescript and used AWS SNS and SQS to decouple communications, achieving increased system reliability and availability, eliminating cascading failures.

● Core Banking Features: Engineered end-to-end features for checking/deposit account creation and real-time transaction processing, ensuring high availability and data consistency for financial operations.

● Authentication: Implemented secure user login and session management, protecting sensitive user data and preventing unauthorized API access.

● Ledger Optimization: Refined and improved complex ledger transaction logic, increasing the accuracy of balance calculations and reducing processing errors in the system of record.

● Cloud Workflows: Created AWS Lambda batch workflows for automated status checks and data updates, using CloudWatch to improve system visibility.

● Data-Driven Reporting: Created end-to-end report generation for a sustainable energy product using Node.js (Hapi) and MongoDB, using time-series database to track and visualize real-time energy metrics. Associate Software Engineer, Aubergine Solutions Pvt. Ltd Jul 2020 - Mar 2022

● Web scraping: Built scripts using JavaScript and Python to scrape data from local media portals, storing it in the database, enabling wider data sources for decision-making.

● API Optimization: Refactored GCP CloudFunction (serverless) APIs, eliminating spaghetti code/logic and code redundancy resulting in a 35% increase in system performance and reducing API response time.

● Frontend Performance: Leveraged component-based architecture and lazy loading to improve website loading speeds by 3x.

● Global Scalability: Implemented internationalization (i18n) for a React + TypeScript Chrome extension, successfully launching the product in 6 languages.

● Full-Stack Ownership: Directed the entire SDLC for web projects, from requirement gathering to development to deployment on GCP and Firebase.

● Responsive UI/UX: Built dynamic, highly responsive websites using CSS grid systems and media queries, improving user experience by 40%.

PROJECTS

RapidCare AI: Streamlining Clinic Outpatient Flow Mar 2025 - May 2025

● Engineered a robust, AI-powered system by evaluating and integrating AI models using Python-Ollama and prompt engineering techniques, delivering a user-friendly React.js and Python application for intelligent patient triage. The Guac Stop Company: Business Data Analytics Project Oct 2024 - Nov 2024

● Architected and executed an ETL pipeline using Apache Hop, consolidated data from diverse sources, created a centralized data warehouse, and delivered critical business insights to stakeholders via Power BI. CERTIFICATIONS

Google Prompting Essentials Specialization, Essentials in Generative AI, AWS Certified Cloud Practitioner, Business Communication AWARDS

● Finalist, New York Business Plan Competition (Health and Wellness) 2025

● Power Performer, Aubergine Solutions 2021

EDUCATION

UNIVERSITY AT BUFFALO, THE STATE UNIVERSITY OF NEW YORK Master of Science, Management Information Systems (STEM) (3.95/4.0 GPA) Jul 2024 - May 2025 Relevant Subjects: Applied AI, Machine Learning for Predictive Analytics GANPAT UNIVERSITY

Bachelor’s in Technology, Information Technology (3.4/4.0 GPA) Aug 2016 - May 2020

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