Software Engineer Machine Learning

SAI SPOORTHI JUPUDI

Phone: +1-571-***-**** Email ID: ***************@*****.***

PROFILE

Experienced Software Engineer with over two years of expertise in designing, developing, and maintaining web applications and microservices. Proficient in Java, Python, Spring Boot, SQL, and Machine Learning, with a proven ability to deliver scalable software solutions. Skilled in Agile methodologies, full- stack development, and CI/CD pipelines, with a strong commitment to continuous learning and leveraging new technologies to drive innovation. SKILLS

Web technologies: ReactJS, Angular, HTML5, CSS, JavaScript, TypeScript, PHP. Java, C, Python.

Databases & Tools: MySQL, MongoDB, SQL, Oracle, AWS, Tableau, Power BI, Git, Kubernetes, Docker, Visual Studio, Firebase, FloFusion.

Frameworks/Libraries: Spring Boot, REST APIs, Hibernate, Django, Junit.

Other skills: Machine learning, Neural Networks, DevOps, Agile methodologies, Critical thinking and problem solving, Presentation and demonstrations.

PROFESSIONAL EXPERIENCE

SYSTEM LEVEL SOLUTIONS SOFTWARE ENGINEER INTERN Jun 2024 - Present

Collaborated with a team to architect and deploy a comprehensive project management system using Python, JavaScript (ES6+), and Agile methodologies. Leveraged RESTful APIs, integrated FloFusion with AWS infrastructure (EC2, S3, Lambda), and implemented advanced caching mechanisms (Redis) and lazy loading techniques.

Orchestrated the migration of legacy systems to a modern microservices architecture using ReactJS, Node.js, and Docker containers, improving system scalability, maintainability, and CI/CD pipeline integration.

Collaborated with DevOps teams to automate cloud deployments on AWS and GCP, leveraging Docker, Kubernetes, and Terraform to ensure scalable, fault-tolerant infrastructure with minimal downtime. VESTRICS SOLUTIONS MACHINE LEARNING INTERN Jun 2021 – Jul 2022

Developed and optimized microservices using Java Spring Boot and Hibernate, focusing on scalability, fault-tolerance, and seamless API- driven integrations. Improved system performance by optimizing MySQL database queries, indexing, and employing caching techniques like Redis to reduce latency under heavy workloads.

Engineered a scalable, distributed architecture, integrated third-party APIs via RESTful services, and automated CI/CD pipelines using Jenkins, Docker, and Kubernetes. Ensured high code quality through unit testing, linting, and static analysis in Python.

Developed a Logistic regression model for heart disease analysis, achieving 86.79% accuracy through data preprocessing, exploratory analysis, and hyperparameter tuning.

Created over 10 interactive Tableau dashboards to communicate results, enabling stakeholders to make data-driven decisions that improved business outcomes.

QiTECH SOFTWARE ENGINEER Jan 2021 – May 2021

Implemented an event-driven microservices architecture with Java Spring Boot and AWS services like Lambda and S3, reducing system downtime and improving scalability and reliability.

Played a key role in optimizing database performance with MongoDB and MySQL, reducing query response times by 20%, and integrated secure user authentication with JWT, ensuring data protection and secure access.

Developed an automated testing framework using JUnit, PyTest, and Selenium, improving code coverage and reducing bugs, while conducting security audits that mitigated vulnerabilities, which helped reducing security risks. HIGHLIGHTED PROJECTS

Inventory Management System: Developed a Java-based Inventory Management System, utilizing OOP principles and JDBC for seamless MySQL database integration to manage stock, pricing, and orders. Implemented CRUD operations, stock alerts with Array List and HashMap, and ensured reliability through unit testing with JUnit.

LSN Software: Collaborated with LSN software’s to develop and maintain responsive web applications using Angular, improving user experience through enhanced UI/UX, and led the full-stack development of the "PetCare" platform using HTML, CSS, JavaScript, and FastAPI, increasing customer engagement by 25%.

Student Survey and Feedback System: Developed a responsive survey system using Angular and Java Spring Boot, integrated with AWS for efficient feedback collection. Optimized performance with Docker-based CI/CD pipelines and Kubernetes orchestration.

Automated Knowledge Graph System with ReactJS Interface: Implemented an automated knowledge graph system using Google Search API, BeautifulSoup, Neo4j, and SpaCy for data extraction and entity-relationship modeling. Developed a ReactJS chat interface with a Flask backend for querying and displaying knowledge graph data EDUCATION

MASTER OF SCIENCE IN COMPUTER SCIENCE GEORGE MASON UNIVERSITY, VA, USA. Aug 2022 – Aug 2024 BACHELOR OF SCIENCE IN COMPUTER SCIENCE ICFAI UNIVERSITY, INDIA Aug 2018 – Jun 2022 PUBLICATIONS

HANDWRITTEN DIGIT RECOGNIZATION USING NEURAL NETWORKS AND MACHINE LEARNING IRJET Jan - 2022 ICFAI UNIVERSITY, INDIA.

• Enhanced application speed and complexity using advanced statistical modelling and machine learning techniques. Demonstrated the superiority of K-Nearest Neighbors (KNN) over Support Vector Machines for digit recognition, focusing on model efficiency and data sensitivity.

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