Software Engineer Stack Developer

CA

SIDDHARTH SHARMA

945-***-**** **************@*****.*** Long Beach, CA LinkedIn

Highly motivated Full Stack Developer with over 4 years of experience in designing and developing robust, scalable applications and APIs. Proven expertise in cloud-native development using Python, FastAPI, JAVA and Spring Boot, Ext JS and React. Skilled in producing high-quality code, maintaining system reliability, and implementing microservices architecture. EDUCATION:

California State University Long Beach Long Beach, CA Master of Science in Computer Science Aug 2021 - May 2023 Highlighted Coursework: Artificial Intelligence, Design and Analysis of Algorithm, Object Oriented Design, Software Engineering, Concepts of Concurrent and Parallel programming

SRM Institute of Science and Technology Chennai, IND Bachelor of Technology in Computer Science July 2015 - May 2019 Highlighted Coursework: Artificial Intelligence, Analysis of Algorithms, Data Structures, Object Oriented Programming. WORK EXPERIENCE: 4 YEARS

Senior Software Engineer: Interco, St. Louis, MO 10/2023 - Present

• Designed, developed, and deployed full-stack applications, integrating advanced data solutions.

• Led architecture and maintenance of data integration systems using Python, Pandas, and NumPy for large-scale data manipulation.

• Applied Python and JavaScript to integrate various system functionalities, optimizing performance and efficiency.

• Utilized shell scripting and cron job scheduling to automate ETL tasks and routine data operations.

• Developed highly performing software systems from specifications, resulting in minimizing manual effort by 50% and maximizing the company’s business output. This expedited operations by launching new offerings within the existing model. (Python, FastAPI, React.js)

• Deployed microservices using Docker and implemented GitHub Actions pipelines on Linux servers, reducing deployment time by 50% and improving efficiency. (GitActions, Docker)

• Trained and mentored new employees on code-base standards and system knowledge, implementing best practices.

• This resulted in a 30% increase in the performance of the average employee during their first three months. Software Engineer: High Radius, Hyderabad 01/2019 - 08/2021

• Designed, developed, and deployed key modules for the EIPP product, significantly enhancing payment processing efficiency minimizing manual effort by 25%.

• Designed and developed the Correspondence Module for automating the generation of various correspondence types, including invoices, disputes, and reminders. Enabled pre-scheduled or manual triggering of correspondence, improving operational efficiency by 60% and reducing manual effort.

• Led the development of Spring Boot microservices, improving system efficiency and automating payment workflows.

• Designed and implemented REST APIs, optimizing for low-latency operations, and ensuring scalability in distributed systems.

• Developed and maintained RESTful APIs for various modules, facilitating smooth data exchange between the frontend and backend systems.

• Streamlined communication workflows by integrating automated reminders and customized correspondence setups, leading to enhanced customer experience.

• Assisted the team in preparing technical documents such as API specifications and low-level design documents for the system. TECHNICAL SKILLS: _

Programming Languages: Java, Python, C++, C, JavaScript, Shell Scripting Frontend Development: HTML, CSS, Ext JS, REST API, React.js Backend Development: Springboot, FastAPI, Node.js, REST API, Kafka, Redis, Junit Databases: SQL, MySQL, Postgres, NoSQL, SQLite, MongoDB, RDBMS Cloud Technologies: AWS (EC2, S3, Lambda), Docker, Kubernetes, Tools: Maven, JIRA, Gradle, Jenkins, Postman, Eclipse, Kafka, GitLab, IntelliJ IDEA, Tomcat, Linux, Unix PROJECTS:

Warehouse Management System Development Python, FastAPI, React.js, Postgres Docker, Kubernetes

• Developed a comprehensive order management system integrating inventory, order processing, and CRM functionalities using FastAPI, Python, MongoDB, PostgreSQL, React.js, Docker, and Kubernetes. Enhanced system performance and security with optimized query processing and authentication mechanisms. Retail Market Analysis Python, JavaScript, Pandas, Machine Learning, Tableau:

• Implemented both the CNN model and ARIMA time series analysis to achieve sales predictions with 93% accuracy. Additionally, deployed an interface displaying forecasts on Streamlit. Custom Invoice Payment Portal JAVA, Spring Boot, ExtJS :

• Demonstrated expertise in designing a Custom Invoice Payment Portal using Java, Spring Boot, and ExtJS by developing a payment consolidation portal with invoice generation, automated payment triggering functionality, and an Automated Payment Flow system, improving payment processing efficiency through enhanced user input and configuration options.

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