---
title: "Deep Patel - Software Engineer in North York | Tal"
description: "Meet Deep Patel, Software Engineer | Java & Spring Boot | Full-Stack Developer | AWS Cloud | Microservices | Generative AI & LLM | React.js | Python based in North York."
image: "https://tal.club/meet/deep-8/share-image"
---

# Deep Patel on Tal

## Headline

Software Engineer \| Java & Spring Boot \| Full\-Stack Developer \| AWS Cloud \| Microservices \| Generative AI & LLM \| React\.js \| Python

## About

I'm a Software Engineer with 5\+ years of experience designing and building scalable, cloud\-native applications and enterprise software solutions\. My expertise spans full\-stack development, backend engineering, microservices architecture, and modern cloud platforms, with hands\-on experience using Java, Spring Boot, React\.js, Python, AWS, and Azure\. Throughout my career, I've developed high\-performance applications, modernized legacy systems, and built secure, distributed solutions that improve reliability, scalability, and user experience\. I have extensive experience designing RESTful APIs, event\-driven microservices with Apache Kafka, optimizing database performance, implementing CI/CD pipelines, and deploying containerized applications using Docker and Kubernetes\. I'm passionate about applying Artificial Intelligence to solve real\-world business challenges\. My recent work includes developing Generative AI solutions using Large Language Models \(LLMs\), Retrieval\-Augmented Generation \(RAG\), OpenAI APIs, Amazon Bedrock, LangChain, Pinecone, and FastAPI to automate workflows, enhance knowledge retrieval, and improve engineering productivity\. I enjoy collaborating with cross\-functional teams to transform complex business requirements into scalable, secure, and maintainable software solutions\. Whether it's designing cloud infrastructure, improving application performance, strengthening security, or integrating AI capabilities into enterprise systems, I focus on delivering measurable business value through clean architecture and engineering best practices\. Core Expertise: • Java \(8/11/17/21\), Spring Boot, Spring Framework, Hibernate • Python, FastAPI, React\.js, TypeScript, JavaScript • Microservices, REST APIs, GraphQL, Apache Kafka • AWS, Azure, Docker, Kubernetes, CI/CD • PostgreSQL, MySQL, Redis, Amazon DocumentDB • Generative AI, LLMs, RAG, OpenAI APIs, Amazon Bedrock, LangChain, Pinecone • System Design, Performance Optimization, DevOps, Agile, Cloud\-Native Architecture I'm always interested in connecting with professionals, engineering leaders, and organizations building innovative products and AI\-powered solutions\. Feel free to connect or reach out to discuss software engineering, cloud technologies, and Generative AI\.

## Location

North York

## Work experience

Software Engineer at CGI, Sep 2025 \- Present · 11 mos, Canada, • Designed cloud\-native enterprise applications using Java 21, Spring Boot, React\.js, TypeScript, Apache Kafka, PostgreSQL, Redis, Docker, Kubernetes, and AWS, to modernize business\-critical platforms into scalable microservices supporting high\-volume transactional workloads, improving system availability to 99\.95% and enabling reliable software delivery for enterprise clients\. • Engineered an enterprise Retrieval\-Augmented Generation \(RAG\) solution using Python, OpenAI APIs, LangChain, Amazon Bedrock, Pinecone Vector Database, and FastAPI, to retrieve deployment runbooks, API documentation, technical knowledge bases, and operational playbooks through semantic search, reducing engineering support effort by 40% for development and operations teams\. • Developed AI\-assisted automation services using Python, AWS Lambda, Prompt Engineering, and Large Language Models \(LLMs\), to summarize production incidents, recommend troubleshooting steps, and automate operational workflows, accelerating incident investigation and improving engineering productivity for support and platform teams\. • Implemented resilient event\-driven microservices using Spring Boot, Apache Kafka, Redis, REST APIs, GraphQL, and Spring Cloud Gateway, to enable secure asynchronous communication between distributed applications, improving scalability and ensuring reliable transaction processing across enterprise business systems\. • Improved backend performance by optimizing PostgreSQL indexing, Redis distributed caching, connection pooling, and API query execution, reducing average API response time from 320 ms to 140 ms while supporting increasing application traffic for customer\-facing services\. • Strengthened software quality by implementing JUnit 5, Mockito, Postman integration testing, SonarQube static code analysis, and GitHub Actions CI/CD pipelines, to increase automated test coverage, improve code quality, and reduce production defects before deployment for engineering teams\.

Software Developer at MyKey Global Accommodations, Apr 2024 \- Aug 2025 · 1 yr 5 mos, Saskatoon, SK, • Modernized the accommodation management platform by integrating React\.js, TypeScript, Redux, and JavaScript into a legacy Ruby on Rails application, to deliver reusable component\-based user interfaces and improve frontend maintainability, reducing feature development time by 40% while preserving existing business functionality for product and engineering teams\. • Collaborated with backend engineers developing Java Spring Boot microservices and REST APIs, contributing to API integrations, business logic enhancements, and service communication improvements within a shared monorepo, enabling scalable booking and property management workflows for hospitality operations\. \(More accurate to your original experience\.\) • Automated cloud infrastructure using Pulumi, AWS ECS, ECR, Application Load Balancer, VPC, Amazon DocumentDB, OpenSearch, AWS Secrets Manager, and CloudWatch, to standardize Infrastructure as Code deployments across development, staging, and production environments, reducing deployment effort by 90% while improving platform reliability for engineering and DevOps teams\. • Strengthened application security by remediating 10\+ high\-severity XSS vulnerabilities across booking, supplier, and survey modules, implementing secure input validation, output encoding, OWASP\-compliant coding practices, and backend sanitization, improving application security and protecting customer\-facing services\. • Implemented secure authentication using Multi\-Factor Authentication \(MFA\), Twilio SMS and Email OTP, OAuth2, JWT, Role\-Based Access Control \(RBAC\), and AWS Secrets Manager, to secure customer onboarding and administrative workflows, achieving 100% validation coverage while improving identity and access management\.

Software Developer at HCLTech, Jan 2021 \- Feb 2024 · 3 yrs 2 mos, Canada, • Developed enterprise applications using Java, Spring Boot, RESTful APIs, Hibernate, PostgreSQL, and Microservices, to modernize legacy business workflows into scalable service\-oriented solutions, improving application response time by 30% and enabling faster feature delivery for enterprise clients across financial and retail projects\. • Built responsive web applications using React\.js, Angular, TypeScript, JavaScript, HTML5, and CSS3, to deliver workflow automation dashboards and self\-service portals, improving user adoption and reducing manual processing effort for business operations teams\. • Implemented event\-driven backend services using Apache Kafka, Spring Boot, Redis, REST APIs, and asynchronous messaging, to enable reliable communication between distributed applications and improve transaction processing scalability for enterprise business systems\. • Containerized enterprise applications using Docker and automated deployments through Jenkins, Azure DevOps, Kubernetes, and Git\-based CI/CD pipelines, reducing deployment effort by 50% while improving release consistency and application availability across environments\. • Optimized performance\-critical backend utilities using C\+\+, STL, multithreading, and memory optimization techniques, to improve compute\-intensive data processing and reduce execution time by 20% for internal enterprise applications\. • Developed Python\-based analytics utilities using Python, Pandas, SQL, Scikit\-learn, and Azure Machine Learning, to automate operational reporting and build initial predictive models supporting business trend analysis, providing stakeholders with data\-driven operational insights while gaining foundational enterprise ML experience\.

## Education

Software development and network engineering, Computer Science, Sheridan College

High School Diploma, Central Board of Secondary Education

[View the original profile](https://tal.club/meet/deep-8)

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