Sai Pavan Nagendra Chittiprolu
Java Full Stack Developer • Jaggayyapeta, Andhra Pradesh 521175, India • s********************@gmail.com • +91*******478 • drivetube.ai/•••••
Professional Summary
Full Stack Developer with 0 years of experience seeking an entry-level role to apply Java, Spring Boot, React and machine learning fundamentals to deliver production-ready web applications and data-driven features.
Technical Skills
Programming Languages: Java,Python,C++,JavaScript
Web Technologies: HTML,CSS
Frameworks and Libraries: React,Spring Boot,Microservices,Node.js,Express,Keras,TensorFlow,scikit-learn,pandas,numpy,OpenCV
Databases: SQL,MySQL,Oracle SQL,MongoDB
Cloud and DevOps: Docker,Jenkins,AWS
Data and Analytics: Random Forest,GANs
Tools and Methodologies: Git,Postman,GitHub,Jupyter Notebook
Skills: PL
Work Experience
Naresh I Technologies
Hyderabad, India
Java Full Stack Developer Trainee
May 2025 – Oct 2025
Six-month full-stack development training at a technical education institute focused on end-to-end web app design, backend services, and deployment workflows.
Tech Stack: Java, Spring Boot, React, MySQL, Docker, Git, Jenkins, HTML, CSS, JavaScript, PL, SQL
- Completed intensive hands-on training in Core Java, Advanced Java, Spring Boot, React and web fundamentals, applying concepts to multiple end-to-end web applications.
- Designed and implemented RESTful APIs using Spring Boot and MySQL to support CRUD and business logic for sample enterprise-style applications.
- Built responsive front-end interfaces with React, JavaScript, HTML and CSS and connected them to backend services for authentication and data display.
- Containerized applications using Docker and created repeatable build artifacts to standardize development and testing environments.
- Configured CI/CD pipelines with Git and Jenkins to automate build, test and deployment steps for trainee projects, improving deployment repeatability.
- Applied SQL and PL/SQL for schema design, query optimization and data access patterns, implementing efficient joins and stored procedures for backend services.
IIDT / BlackBucks
Remote
AI-ML-DS Intern
May 2024 – Jul 2024
Short-term internship focusing on machine learning and data science projects, applying models to medium-scale datasets and building prediction pipelines.
Tech Stack: Python, pandas, numpy, scikit-learn, Random Forest, Jupyter Notebook
- Engineered features and preprocessed a 10,000+ row dataset using pandas and numpy, improving downstream model quality and robustness.
- Developed Random Forest models for match outcome prediction; tuned hyperparameters to achieve 82% accuracy on validation data for the IPL project.
- Improved model accuracy by 18% through iterative feature engineering, cross-validation and ensemble techniques.
- Collaborated in a 4-member team to standardize ML pipelines, introducing reusable preprocessing and evaluation scripts that reduced turnaround time by 25%.
- Built a simple user-facing UI to accept inputs and visualize prediction results, integrating the ML model backend with a lightweight front-end.
- Documented experiments, model metrics and data preprocessing steps to ensure reproducibility and handoff to peers.
Codegnan IT Solutions
Vijayawada, India
Machine Learning Intern
May 2023 – Jul 2023
Internship at an IT services company contributing to data collection, exploratory data analysis and model development for client analytics use cases.
Tech Stack: Python, BeautifulSoup, pandas, scikit-learn, AWS, matplotlib
- Performed web scraping and data ingestion using Python libraries to collect large-scale datasets for sentiment and behavior analysis.
- Conducted exploratory data analysis and visualization to surface trends and data quality issues using pandas and matplotlib.
- Developed and validated machine learning models for sentiment analysis of customer reviews, improving classification performance through feature selection.
- Supported deployment and testing of ML models on AWS infrastructure, preparing model artifacts and scripts for cloud-based evaluation.
- Constructed data pipelines for cleaning and transforming raw data into model-ready formats, documenting data schemas and transformation logic.
- Collaborated with cross-functional stakeholders to translate business questions into data-driven modeling tasks and prioritized features for prototypes.
Projects
E-commerce Website (MERN Stack) | Jun 2023 – Aug 2023
Tools Used: React, Node.js, Express, MongoDB, JavaScript, HTML, CSS
- Built a full-featured e-commerce platform implementing product listing, cart management, authentication and payment integration.
- Implemented REST APIs with Node.js and Express and persisted product and user data in MongoDB with secure authentication flows.
- Integrated frontend and backend to deliver responsive UI and tested end-to-end flows for product search, checkout and order management.
IPL Winner Prediction (Machine Learning) | May 2024 – Jul 2024
Tools Used: Python, pandas, scikit-learn, Random Forest, Jupyter Notebook
- Developed a Random Forest model to predict IPL match outcomes using historical team and player statistics.
- Engineered features, performed cross-validation and achieved 82% accuracy on validation sets, and exposed predictions via a simple UI.
RetinaGAN – Medical AI Project | Dec 2024 – Apr 2025
Tools Used: GANs, TensorFlow, Keras, OpenCV, Python
- Led a team of four to develop a GAN-based model for retinal disease detection trained on medical retinal image datasets.
- Designed data preprocessing, augmentation and training pipelines to detect diabetic retinopathy and related retinal disorders.
Education
Dhanekula Institute of Engineering and Technology
B.Tech in Computer Science and Engineering • Gangur, Andhra Pradesh, India • 2021 – 2025
Jaggayyapeta Residential College, Jaggayyapeta
Board of Intermediate Education, A.P. (MPC) • Jaggayyapeta, Andhra Pradesh, India • 2019 – 2021
Nagarjuna High School, Jaggayyapeta
Board of Secondary Education, A.P. • Jaggayyapeta, Andhra Pradesh, India • 2018 – 2019
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