Computer Science Software Engineer

Priyanka Lingoju

********@***.*** 906-***-**** linkedin.com/in/priyanka-lingoju

SUMMARY

Motivated MS Computer Science student with a 3.9 GPA and expertise in full-stack web development, cloud computing, and infrastructure automation. Proficient in Python, Flask, JavaScript (ES6), React, Node.js, and RESTful API development. Experienced in relational and non-relational databases, version control, and cloud-based deployment. Strong problem-solving, debugging, and team collaboration skills. Eager to develop high-quality web applications in dynamic environments.

EDUCATION

Michigan Technological University, MS Computer Science (3.9 GPA), Houghton, MI Expected May 2025

Jawaharlal Nehru Technological University, BS Computer Science (3.2 GPA), Hyderabad, IN 2018 – 2022

TECHNICAL SKILLS

Languages: Python, JavaScript (ES6), SQL, HTML, CSS, Bash

Web Development: Flask, Django, React, Node.js, ExpressJS

Databases: MySQL, PostgreSQL, MongoDB

Cloud & Infrastructure: AWS Cloud, Docker, Kubernetes, Terraform

Version Control & CI/CD: Git, Jenkins, GitHub Actions

Testing & Documentation: Unit Testing, Integration Testing, Technical Documentation

PROFESSIONAL EXPERIENCE

Graduate Teaching Assistant, Michigan Technological University Aug 2024 - Present

Provided instructional support for advanced algorithms and software development courses.

Assisted students with debugging, optimizing software, and implementing algorithmic solutions.

Evaluated assignments and projects focused on model-driven computations and web development.

Python Developer Intern, Alcove Technologies Pvt Ltd, Hyderabad, IN Jan 2023 – May 2023

Developed and optimized Python-based solutions for cloud-based data processing and web applications.

Designed RESTful APIs using Flask and integrated them with React-based frontends.

Worked with MySQL and PostgreSQL for efficient data storage and retrieval.

Used Git for version control and collaborated with team members using Agile methodologies.

ACADEMIC PROJECTS

Full-Stack Web Application for Sentiment Analysis

Skills Used: Python, Flask, React, PostgreSQL, AWS

Developed a web-based sentiment analysis tool using Flask for the backend and React for the frontend.

Designed RESTful APIs for data processing and deployed the application on AWS.

Integrated PostgreSQL for scalable data storage and retrieval.

Real-Time Data Processing for Virtual Property Walk-Through

Skills Used: Python, Node.js, MongoDB, AWS

Developed a cloud-based data pipeline for real-time 3D property walkthroughs using Flask and Node.js.

Integrated MongoDB for backend data storage and AWS for cloud deployment.

Enabled smooth and efficient virtual tours with enhanced data interaction.

RESTful API Development and Secure Authentication

Skills Used: Python, Flask, ExpressJS, AWS, Git

Designed and implemented RESTful APIs using Flask and ExpressJS for seamless frontend-backend communication.

Integrated JWT authentication and OAuth for secure user authentication.

Deployed APIs on AWS, ensuring scalability and high availabilit.

CERTIFICATIONS

Python Chatbot building – IBM Data Science Foundations – IBM

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