MOHAMMAD PATEL

Toronto, Ontario, Canada

https://www.linkedin.com/in/mohammad-p-11b257358/
mohammadpatel122025@gmail.com

JavaScript | Java Developer

SUMMARY

Skilled Full-Stack Developer with expertise in building scalable web applications using modern JavaScript
frameworks. Proficient in React.JS and Next.JS for front-end development and Node.JS, Java for back-end
architecture. Passionate about crafting high-performance, maintainable, and user-friendly applications. Adept
at designing RESTful APIs, optimizing performance, and implementing best practices in web development.
Seeking to contribute my skills to innovative projects and dynamic teams.

SKILLS

 Java  PostgreSQL
 Kotlin  Redis
 JavaScript  AWS
 TypeScript  GCP
 Spring Boot  Nginx
 Microservices architecture  Ubuntu
 OAuth2  Asana PMS
 Apache Kafka  Custom LLM integration
 Next.JS  Automation
 React.JS  Postman
 Docker  Webhooks
 Kubernetes  Stripe/Paypal/Apple Pay APIs
 Firebase  Git
 Supabase  Algolia
 MongoDB

EXPERIENCE

CISCO

Full Stack Developer 08/2022 to 2/2025

 Architected a scalable booking system using Next.JS (App Router) for the frontend and Spring Boot for
the backend, enabling users to book, reschedule, and cancel appointments with real-time feedback and
availability sync.
 Structured and modularized the Next.JS codebase, organizing the project into feature-first folders and
reusable UI components for better maintainability and scalability.
  Upgraded backend systems from Java 8 to Java 17, implementing advanced garbage collectors (ZGC,
Shenandoah) to improve performance and memory management.
 Applied Apache Kafka for real-time analysis of user engagement and marketing effectiveness within a
Java-based system.
 Built a stream-based CRUD pipeline using MongoDB to efficiently process high-volume document
transactions.
 Developed database optimization scripts and CRUD modules to manage millions of records with
minimal downtime.
 Designed and deployed a large-scale e-commerce payment gateway integration (Apple Pay, PayPal)
using Spring Boot.
 Resolved system bottlenecks by implementing a microservices architecture, using Redis for session
management and configuring Nginx as a reverse proxy.
 Integrated a production listing search feature powered by Algolia AI Search Engine for faster and more
accurate product discovery.
 Architected a scalable booking system using Next.JS (App Router) for the frontend and Nest.JS for the
backend, enabling users to book, reschedule, and cancel appointments with real-time feedback and
availability sync.
 Designed backend APIs in Nest.JS and connected to a PostgreSQL database using Prisma ORM,
implementing CRUD, transaction handling, and query optimization.
 Enhanced SEO by updating Next.JS routing, configuring domain provider settings, and optimizing
Google bot indexing for higher search rankings.
 Conducted white-box testing to eliminate redundant lifecycle methods, improving frontend rendering
speed and boosting user engagement.
 Used AWS S3 for storing production assets (images, intro videos) and leveraged AWS CloudWatch for
application monitoring.
 Managed QA, production deployments, and configured Ubuntu servers with Nginx for application
hosting.
 Led QA efforts by managing pull requests (PRs), issue tracking, branch workflows, and client feedback
reviews.
 Temporarily assumed the role of project manager, overseeing project management tasks via Asana.
 Built, tagged, and pushed Docker images to Docker Hub, GitHub Container Registry, and private
registries to support CI/CD workflows.
 Implemented real-time UI updates using WebSockets, connecting frontend booking components to
backend RabbitMQ event queues.
 I migrated the Algolia cloud server to a local Ubuntu server and developed a CRUD pipeline dashboard
within the admin panel, enabling easy management of Algolia as if it were a standard database.

SCOTIABANK

Software Engineer 03/2019 to 07/2022

 Built a financial statistics platform using Spring Boot for backend development and React.js for a
dynamic, real-time frontend, enabling data management, analysis, and visualization.
 Performed data mining on scraped content and user activity logs to extract actionable insights.
 Installed, configured, and managed PostgreSQL on Ubuntu servers, and optimized database schemas to
reduce query access time.
 Implemented Redis caching to significantly improve application response performance.
 Structured a React.JS project from scratch with a focus on long-term maintainability and microservices
scalability.
 Mastered Stripe payment integration, including complex webhook management and asynchronous
event handling.
  Extracted and analyzed transaction history data using ELO rating systems and financial metrics such as
Gross Profit Margin, Net Profit Margin, and Return on Equity in the Django back-end.
 Extracted financial metrics (Gross Profit Margin, Net Profit Margin, ROE) from transaction data using
Spring Boot for backend analysis.
 Visualized financial and user insights using advanced chart components in the React.JS frontend.
 Developed deep expertise in JavaScript Promises and asynchronous programming to coordinate
multiple third-party services.
 Configured and managed Nginx servers for routing external traffic and Kubernetes for scalable
microservices deployment.

MANULIFE

Software Developer 10/2016 to 1/2019

 Developed an e-commerce admin portal using Java 8 and Spring Boot, managing merchandise and
supporting ticket operations.
 Built RESTful APIs for booking workflows, efficiently handling collection operations and ensuring
null-safety.
 Integrated calendar scheduling functionality to coordinate meetings between customers and the support
team.
 Implemented Java Bean Validation with custom annotations to enforce strict data input rules on
booking forms.
 Wrote advanced JPQL and Criteria API queries to generate booking usage reports and operational
statistics.
 Collaborated with a team of five frontend developers to ensure seamless API integration at the REST
interface level.
 Deployed backend services and scrapers on AWS (EC2, S3, Lambda) and GCP (Cloud Functions),
leveraging CloudWatch, GCP Logging, and Firebase Auth for monitoring and access control.
 Implemented export functionality for filtered datasets to CSV, PDF, and AES-encrypted ZIP files,
supporting scheduled exports and secure sharing with external partners.
 Integrated Google reCAPTCHA to strengthen security on registration forms and prevent spam attacks.

EDUCATION

BACHELOR OF SCIENCE IN COMPUTER SCIENCE

University of Toronto, Ontario, Canada
June 2012 - September 2016