Full Stack & ML-Driven Cloud Engineer

Karthik Pavoor

Cincinnati, Ohio *************@*****.*** LinkedIn 315-***-****

TECHNICAL Programming Languages: SKILLS Python, Java (Object-Oriented Design), C, C++, JavaScript, TypeScript, SQL, Bash Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, CNNs, SVM, KNN, Feature Engineering, Hyperparameter Tuning, Model Evaluation (Precision, Recall, F1-score) Web Development & Frameworks: Flask, Django, React, Angular, Node.js, Express.js, HTML5, CSS3, Bootstrap, REST APIs Databases & Cloud: MySQL, PostgreSQL, MongoDB, SQL Server, Firebase, AWS (S3, RDS, Lambda), Distributed System Design DevOps, Tools & Deployment: Git, GitHub, Docker, GitHub Actions, Jenkins, Postman, PyTest, Unix/Linux CLI, CI/CD Pipelines, Heroku, Microservice Architecture, OAuth 2.0

PROFESSIONAL EXPERIENCE

Junior Software Development Engineer

Asha Tek LLC – Remote January 2025 – April 2025

• Developed a responsive internal dashboard using Angular and Flask for secure storage systems and real-time metadata tracking.

• Designed REST APIs with token-based authentication and optimized SQL queries via indexing and joins, reducing latency by 40% and improving backend response for high-volume transactions and filtered searches across user roles.

• Designed CI/CD pipelines using GitHub Actions to automate tests, linting, and deployment; improved code quality, reduced release friction, and supported a stable deployment process across staging and production environments.

• Implemented UI components, backend logic, and maintained deployment documentation while collaborating in Agile ceremonies such as stand-ups, sprint planning, retrospectives, and code reviews. Software Development Engineer

Cashapona Technologies, Hyderabad, India May 2021 - July 2023

• Scaled a distributed React/Flask web application to 10,000+ MAUs on AWS EC2 by optimizing API response times (40% faster) and implementing WebSocket streaming for real-time image processing.

• Reduced AWS cloud costs by 30% via S3 tiering + EC2 auto-scaling (99.5% uptime for ML features).

• Led migration from jQuery to React (TypeScript) with lazy loading, code splitting, and performance engineering, improving page load speed by 35% and reducing UI bugs by 50% through modular components and strict type checking.

• Automated CI/CD pipelines with GitHub Actions using containerized testing environments, enabling 2x faster release cycles while enforcing 100% test coverage through Jest unit and integration tests for critical frontend components. ACADEMIC PROJECTS

Lung Disease Prediction Python, HTML, CSS, Flask January 2025

• Pioneered a deep learning approach using CNNs to analyze X-ray images, achieving 91% accuracy in identifying lung pathologies such as COVID-19 and Tuberculosis.

• Architected a Flask full-stack app with REST APIs, accelerating diagnostic reports by 60% via real-time UI-model communication.

• Streamlined lung disease diagnosis by building a predictive model that analyzes user-uploaded X-ray images, leading to earlier interventions for 85% of patients showing early signs of pulmonary disease. YelpCamp Web Application HTML, CSS, JavaScript, Node, Express, Bootstrap, MongoDB November 2024

• Launched a secure, full-stack campground review and search platform using Node.js, Express, MongoDB, and Passport.js, enhancing cross-device accessibility with a responsive UI that increased user engagement by 30%.

• Deployed on Heroku with AWS integration, creating a scalable cloud infrastructure that ensured high availability, reliability, and performance for growing user traffic.

Heart Disease Prediction System Machine Learning, Flask, HTML, CSS, JavaScript March 2024

• Engineered a sophisticated web-based prediction system for early heart disease detection, using historical patient records to train a robust model. The system evaluates user-provided medical details to assess heart disease risk with 92% accuracy.

• Seamlessly interfaced a user-friendly frontend with the backend, improving web application efficiency in user interactions and data processing by 35%, markedly enhancing overall usability and system responsiveness. EDUCATION

Master of Engineering in Computer Engineering

University of Cincinnati August 2023 - May 2025

Related courses: Advanced Algorithms, Machine Learning, Deep Learning, Data Encoding, Information Retrieval, Operating Systems Bachelor of Technology in Computer Science and Engineering CVR College of Engineering August 2019 - May 2023

CERTIFICATION COURSES

• Oracle Database Programming with SQL, Oracle

• Object Oriented Programming in Java, Coursera

• Machine Learning A-Z, Udemy

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