Software Engineer Development

SAI DHANUSH SOMA

Chicago, IL 773-***-**** **************@*****.*** LinkedIn GitHub Portfolio

SUMMARY

Software Engineer with 2.5 years of software development experience, skilled in building scalable solutions and optimizing performance. Proficient in Object-Oriented Analysis and Design, full-stack development across Java, Python, and ReactJS, with experience in SQL optimization, cloud deployment (AWS), and API integrations (REST/SOAP).

SKILLS

Languages and Frameworks: Python, Core Java, Java Servlets, JavaScript (ES6+), Langchain, Flask, SQL(MySQL, PostgreSQL), NoSQL, PL/SQL, Spring Boot, Hibernate, JDBC, Maven, Apache Tomcat, REST, HTML5, CSS3, Tailwind CSS, ReactJS, TypeScript, ExpressJS, NodeJS, Bootstrap, Material UI, Object-Oriented Analysis & Design (OOAD), Data Structures and Algorithms, SOAP APIs

Tools: Eclipse, VS Code, MongoDB, Docker, Git, Figma, Selenium, Jenkins, Junit, Jira Prometheus, Grafana, AWS (EC2, S3, Lambda), FastAPI, OpenAI API, Twilio API, Microsoft Word, Excel, Access, PowerPoint and Outlook

WORK EXPERIENCE

Software Developer

Capgemini, Bengaluru, India January 2023 - June 2023

Developed a full-stack fitness and gym platform using the MERN stack (MongoDB, Express.js, React.js, Node.js) with an OTP-based authentication system via Twilio API for secure user verification.

Enhanced front-end interactivity using advanced JavaScript features and React hooks, improving user engagement and reducing load time by 25%

Engineered a real-time gym booking system leveraging MongoDB Atlas enabling location-based search and seamless reservations. Designed and optimized RESTful APIs for user authentication, gym booking, and workout recommendations, ensuring efficient request handling. Enhanced UI/UX performance using React.js and Tailwind CSS, incorporating lazy loading and optimized rendering for a seamless experience.

Collaborated with business analysts and end-users to translate requirements into technical solutions, ensuring business alignment. Troubleshot, analyzed, and debugged issues across front-end and backend components, reducing downtime and improving user experience. Refactored existing SQL queries and application code to improve responsiveness and maintainability, optimizing query performance by 30%. Applied Object-Oriented Analysis and Design (OOAD) principles to design scalable features and reusable code components. Actively participated in code reviews and adhered to coding standards, ensuring maintainability and high-quality delivery.

It is a Capgemini-Assessed Project Developed as part of a team during final year under Capgemini’s guidance. Evaluated by Capgemini professionals through project reviews and interviews.

Research Intern

La Trobe University, Melbourne, Australia - Remote July 2020 - June 2022

Devised team in building Dashboard with Prometheus and Grafana with Python. Metrics collected to visualize data.

Implemented AWS cloud integration for hosting dashboards and managing IoT data pipelines, gaining hands-on experience with cloud-based developer tools.

Processed in connecting nodes, analyzing data, understanding blockchain framework, and brainstorming on how to accomplish other possibilities of IOT in consensus mechanism with 95% uptime and 20% boost in efficiency.

PROJECTS

SmartNest August 2024 - December 2024

Built a Smart Home product management application, frontend with ReactJS and executed backend functionality using Java Servlets to enable efficient CRUD operations and product catalog management. Implemented AI-driven recommendation agents using LangChain and GPT- 4o-mini refining customer wait times by 75%.

Integrated MySQL with PL/SQL stored procedures for efficient catalog updates and role-based access, streamlining database operations. Ensured cross-browser and cross-platform compatibility in ReactJS and JavaScript frontend with dynamic product management features enabling CRUD operations with responsive UI, delivering a seamless user experience.

Managed MySQL and MongoDB databases, integrated Elasticsearch for enhanced search with semantic search embeddings using Docker, and RAG-based search, improving retrieval accuracy by 60%. Leveraged the Open AI API for LLM-, Designed a multi-role system (Customers, Store Managers, Salesmen) with authentication also Integrated Message Queues for efficient order processing.

Cuisine Connect September 2024 - December 2024

Developed an AI-powered chatbot for Cuisine Connect to streamline food ordering and deliver personalized menu suggestions, using React.js for the frontend and Python Flask for the backend solving queries by 70% accuracy.

Integrated intelligent agents using OpenAI and LangChain to automate customer service tasks such as refund decisions, defect complaints, and fraud detection, significantly improving operational efficiency.

Enhanced service reliability by deploying APIs to AWS cloud environment and integrating secure authentication mechanisms.

EDUCATION

Illinois Institute of Technology, Chicago, IL August 2023 - May 2025

Master's in Computer Science,

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