Software Engineering Machine Learning

Sai Lakshmi Aarthi Vadlapatla

P: +1-518-***-**** ***********@***.*** www.linkedin.com/in/avadlapatla EDUCATION

UNIVERSITY OF CENTRAL OKLAHOMA Edmond, OK

MS in Computer and Science- Full Stack Development (Current GPA – 3.0) Aug 2023- May 2025 Course Work: Incident Analysis & Resp, Internet of Things, Software Engineering II, Practicum In Computing Science, Front End Web Programming, Enterprise Web Programming, Cloud Web Apps Development, Mobile Apps Programming, Software Engineering I and Applications Database Systems VELLORE INSTITUTE OF TECHNOLOGY Amaravati, India

Bachelor of Technology in Computer Science and Engineering (CGPA – 7.78) Sep 2019 - May 2023 Course Work: Data Structures and Algorithms, Object Oriented Programming, Design and Analysis of Algorithms, Applied Statistics, Data Analysis, Operating Systems, Machine Learning, Computer Networks, Network Programming, Mobile Application Development, Web Technologies, IOT, Advanced Data Analytics, Introduction to Cryptography, Cloud Computing, Database Management.

SKILLS

PROGRAMMING LANGUAGES: Java, Python, HTML, CSS, SQL,Java Script, TypeScript. SOFTWARE DEVELOPMENT: OOP, Agile(Scrum), JIRA, REST API DATABASES & DATA WAREHOUSING: PostgreSQL, SQLite, MySQL. DATA VISUALIZATION: Power BI, Tableau.

DATA ENGINEERING & ANALYTICS: Data Modeling, Data Warehousing, ETL, Pandas, NumPy. FRAMEWORKS: Django,Spring Boot Flask, Angular, React. TECHNOLOGIES: AWS, Docker,Linux

WORK EXPERIENCE

QUIDDITY SOFTWARE SOLUTIONS PVT. LTD. Hyderabad, India SOFTWARE ENGINEER INTERN Jan 2023 - Jul 2023

● Developed a RESTful service-oriented architecture (SOA) using Spring Boot, optimizing search efficiency for new and used goods across platforms like Craigslist and eBay.

● Built a secure authentication system with Spring Security and JWT, ensuring role-based access control and data protection.

● Designed and implemented a scalable backend with Spring Data and MySQL Enterprise Edition, enhancing data retrieval and system performance.

● Integrated encryption techniques and AWS services to enhance security and scalability.

● Developed a responsive web and mobile UI using Angular, Ionic Framework, and TypeScript, improving user experience.

MARUTI SUZUKI INDIA LTD. Hyderabad, India

DATA ANALYST INTERN Oct 2022- Dec 2022

● Conducted Exploratory Data Analysis (EDA) using Python (Pandas, NumPy) and SQL to uncover trends in vehicle performance, sales, and manufacturing data, providing actionable insights to senior management.

● Designed and implemented interactive dashboards in Tableau and Power BI, visualizing key metrics like production efficiency, defect rates, and market demand trends for real-time decision-making.

● Optimized ETL pipelines to automate data collection and preprocessing, improving data accuracy and reducing manual effort by 20%.

● Applied predictive analytics and statistical models to forecast vehicle demand and supply chain fluctuations, enhancing production planning and resource allocation.

● Leveraged AWS services (S3, Lambda, EC2) for scalable data processing and cloud-based analytics, improving data accessibility and performance.

UNIVERSITY PROJECTS

SYLLABUS CHATBOT USING RETRIEVAL AUGMENTED GENERATION(RAG) Dec 2024

● Developed a web-based Syllabus Chatbot using Retrieval Augmented Generation (RAG), enabling natural language interaction for course syllabi search.

● Implemented Flutter & Dart for the frontend, integrated Firebase (Firestore, Storage, Authentication) for secure syllabus management, and utilized syncfusion_flutter_pdf for text extraction, supporting Gemini/OpenAI APIs for intelligent syllabus retrieval.

TREE CLASSIFICATION USING AERIAL IMAGES Oct 2022

● Applied deep learning models such as VGG Net, ResNet, Xception, SVM, and YOLOv5 to analyze aerial images for identifying endangered trees in India, supporting deforestation prevention.

● The project involved comparative analysis of multiple machine learning models for effective tree classification. HEART DISEASE PREDICTION USING MACHINE LEARNING Sep 2022

● Developed a machine learning-based diagnostic system in Python to predict heart disease risk using a dataset with 13 medical features, including age, blood pressure, and cholesterol levels.

● The model leverages algorithms to assess the likelihood of heart disease based on clinical data. WATER MONITORING FOR GARDENING July 2022

● Developed an automated water management system for plant and crop irrigation using Arduino Uno and a soil moisture sensor, ensuring optimal water supply.

● The system, built with Java, continuously monitors soil moisture content and adjusts irrigation based on real-time data.

FINGERPRINT VOTING SYSTEM Nov 2022

● Designed and implemented a fingerprint biometric-based voting system using Java and MySQL, automating the election process while preventing fraudulent activities.

● This system enhances security and accuracy by authenticating voters through unique fingerprint data.

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