Software Engineer Spring Boot

Almas Khan

*************@*****.*** +1-669-***-**** www.linkedin.com/in/almas-khan-0a11a9160 Santa Clara, CA 95050

Software Engineer with over 5 years of hands-on experience in backend and full-stack development, AI integration, and cloud-native applications across fintech and enterprise domains.

Specialized in Java, Spring Boot, Microservices, and REST API development with a strong foundation in system design and performance optimization.

Proficient in AWS and Azure for scalable deployments and CI/CD practices using Jenkins, Git, Docker, and Kubernetes.

Developed NLP-based AI solutions and conversational systems integrated into production-grade platforms.

Published author with multiple IEEE and Springer papers; Certified SAFe 4.0 Practitioner. Open to relocation and new opportunities.

Bachelor of Engineering in Computer Science Pune University, Pune, India Aug 2012 – Jun 2016 GPA: 3.51/4.0

Master of Science in Computer Science Santa Clara University, Santa Clara, California Sep 2022 – Mar 2024 GPA: 3.5/4.0

Languages: Java 8/11/17, Python, JavaScript, TypeScript, SQL Web Technologies: HTML5, CSS3, React.js, Node.js, Bootstrap Frameworks: Spring Boot, Spring MVC, Spring Security, Hibernate, JPA Databases: MySQL, PostgreSQL, Redis, MongoDB

Cloud Platforms: AWS (EC2, S3, Lambda, RDS, EKS), Azure DevOps & Tools: Git, GitHub, Docker, Jenkins, Kubernetes, Maven Machine Learning &

AI:

NLP, TensorFlow, Scikit-learn, Keras, Pandas

Others: RESTful APIs, Microservices, Jira, Postman, Agile, Scrum, SAFe 4.0 Certified Inswitch Miami, FL

Software Engineer Aug 2024 – Current

Technologies Used: Java, HTML, CSS, Bootstrap, React, Spring Boot, Spring MVC, Hibernate, Kafka, Microservices, RESTful APIs, MySQL, AWS, Azure, Git, GitHub, Maven, JPA, NLP, Docker, Jenkins, JUnit, Postman

Designed and built backend modules using Core Java and Advanced Java for login, registration, and authentication workflows in fintech systems.

Developed RESTful microservices with Spring Boot and Spring MVC, enabling loosely coupled services across key business functions.

Engineered conversational AI chat systems using NLP and integrated them with third-party APIs for real-time user interaction.

Deployed scalable services on AWS and Azure, ensuring fault tolerance, monitoring, and API gateway integration.

Applied Hibernate ORM with JPA for robust database interaction and optimized SQL performance across transactional modules.

Built end-to-end reporting systems integrated into operational dashboards, improving business decision- making.

SUMMARY:

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Leveraged Docker and Kubernetes to containerize services, ensuring consistency across development and production.

Streamlined continuous integration workflows using Jenkins, GitHub Actions, and Maven to support agile delivery.

Participated in sprint planning, daily scrums, and cross-team collaborations to maintain high development velocity.

Newgen Software Technologies Mumbai, India

Full-Stack Java Developer Jul 2017 - Aug 2021

Technologies Used: Java, HTML, CSS, Kafka, Spring Boot, Spring MVC, Hibernate, Microservices, REST APIs, MySQL, PostgreSQL, Javascript, Bootstrap, Redis, Kafka, Docker, AWS EKS, Kubernetes, Jenkins, Git, JUnit, Selenium, Mockito, Jira, Confluence.

Created a fully automated reporting tool for Omniflow, used by Axis Bank branches, reducing manual overhead and increasing report accuracy.

Designed and developed RESTful APIs with Java and Spring Boot, ensuring high availability and maintainability of enterprise features.

Led the transition to cloud-native infrastructure using Docker, Kubernetes, and AWS EKS, improving scalability and deployment cycles.

Developed and maintained Kafka-based message queues to ensure asynchronous processing and event-driven architecture.

Implemented Redis caching to enhance system responsiveness and reduce load on primary databases.

Refactored legacy monolithic code into microservices to promote modularity, reusability, and independent scaling.

Achieved significant performance improvement by optimizing SQL queries and removing code-level inefficiencies.

Developed test automation pipelines using Selenium, TestNG, and JUnit, improving regression test cycles and delivery confidence.

Maintained rigorous code quality and version control using Git, GitLab, and Jira as part of Agile team delivery.

Collaborated with cross-functional teams to define architecture standards, code reviews, and sprint backlogs. Literature Survey on Multimodal Recommendation System Using Large Language Models

Conducted an in-depth survey on the evolution of recommendation systems (RS), exploring the transition from traditional methods (Collaborative Filtering, Content-based Filtering) to advanced techniques using Deep Neural Networks (DNNs) and Large Language Models (LLMs).

Proposed a novel multimodal foundation model that integrates video, textual, and personalization modalities under the P5 paradigm.

Focused on improving model efficiency by addressing challenges such as training time and overfitting through optimized parameter tuning strategies.

"Performance Augmentation of Classifiers Using Combination of Preprocessing and Feature Selection Method" Published in IEEE Conference Link to Paper

"Image Classification using Discrete Block Truncation Coding" Published in Springer Journal Link to Paper

"Image Classification using Fuzzy Block Truncation Coding" Published in IEEE Conference Link to Paper

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