Korubilli Lakshmi
Full Stack Developer • K*****************@gmail.com • +91*******056 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Full Stack Developer with 0 years of professional experience, strong academic foundation in web and backend development, and hands-on projects in cryptography, steganography and machine learning-based recommendation and prediction systems. Skilled in Java, JavaScript, React, Spring Boot and MySQL with practical exposure to building end-to-end prototypes and data-driven models.
Technical Skills
Programming Languages: Java,JavaScript
Web Technologies: HTML,CSS,REST APIs
Frameworks and Libraries: React,Spring,Spring Boot
Databases: MySQL,SQL
Data and Analytics: Collaborative Filtering,Data Preprocessing,Feature Engineering,Predictive Modeling
Tools and Methodologies: Git,GitHub,VS Code,Eclipse
Web Development: Frontend Development,Backend Development,Responsive Design,DOM Manipulation
Security & Image Processing: AES Cryptography,Steganography LSB,Image Processing
Work Experience
Data Pro
Machine Learning Intern
Internship building a machine-learning based movie recommendation system for entertainment domain (movie recommendations).
Tech Stack: Java, MySQL, Collaborative Filtering, Data Preprocessing, Git
- Implemented collaborative filtering recommendation engine to generate personalized movie suggestions based on user-item interaction data using Java.
- Designed and populated a MySQL schema for users, movies, ratings and interaction logs to support recommendation queries and offline evaluation.
- Developed user-based and item-based similarity computations and ranking logic to produce Top-N movie recommendations per user.
- Performed data preprocessing including rating normalization and missing-value handling to improve recommendation relevance and robustness.
- Improved computational efficiency by batching similarity calculations and leveraging sparse data representations during offline processing.
- Evaluated recommendation outputs with hold-out validation and iteratively tuned similarity thresholds and preprocessing steps to refine suggestions.
IBM
Data Science Intern
Internship at IBM focused on employee burnout analysis and prediction using survey responses, performance metrics and communication-derived features.
Tech Stack: Feature Engineering, Predictive Modeling, Data Analysis, MySQL, Reporting
- Collected and consolidated survey responses, performance indicators and communication-derived features into analysis-ready datasets for burnout risk modeling.
- Engineered features reflecting trends in productivity and engagement to create labeled data suitable for supervised learning and risk scoring.
- Built and compared classification-based predictive models to identify employees at elevated burnout risk and selected the most stable approach for further validation.
- Implemented an evaluation pipeline using cross-validation and standard performance metrics to assess model generalization and tune hyperparameters.
- Produced analytical reports and visualizations highlighting primary burnout drivers and recommended early interventions for HR stakeholders.
- Collaborated with mentors to outline next steps for operationalizing the model and integrating outputs into HR reporting workflows.
Projects
Hybrid Approach for Image Security using Cryptography and Steganography
Tools Used: Java, AES Cryptography, Steganography, Image Processing
- Designed a hybrid image security system that first encrypts image data using AES and then embeds the encrypted payload into cover images using LSB steganography.
- Implemented AES encryption to securely protect image content and integrated LSB-based embedding to conceal encrypted data within cover images.
- Evaluated security trade-offs and robustness by analyzing encryption strength and the imperceptibility of steganographic embedding on image quality.
- Documented implementation details and conducted performance analysis to measure encryption/decryption time and embedding impact on image fidelity.
Education
Avanthi's Research and Technology Academy
B.Tech in Computer Science & Engineering (AI & ML) • 2020 – 2024
Sri Chaitanya Junior College
Intermediate (MPC) • 2018 – 2020
ZP High School
SSC • 2017 – 2018
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