About Me
I'm a passionate and diligent final-year B.Tech Computer Science undergraduate specializing in cybersecurity, AI, and full-stack development. My expertise spans from building secure REST APIs to applying deep learning for computer vision.
I am committed to continuous learning and am actively seeking internships to solve real-world security, vision, and backend challenges.
Education
Manipal Institute of Technology, Bangalore
B.Tech in Computer Science (Cybersecurity)
2022 - 2026
Delhi Public School Nacharam, Hyderabad
Secondary Education
2018 - 2022
Technical Skills
Programming Languages
Machine Learning
Cybersecurity
Data Analysis & Visualization
Databases
Tools and Technologies
Professional Experience
- Developed secure RESTful APIs using Spring Boot and integrated with MySQL.
- Implemented OAuth2 login and secured API access with Bearer token authentication.
- Used Swagger for API documentation and SonarCloud to maintain code quality.
- Gained hands-on experience with network security, firewalls, intrusion detection, and secure network design.
- Conducted risk assessment and evaluated threats and vulnerabilities in network environments.
- Worked with Cisco Packet Tracer for network simulation and security analysis.
- Worked on real-world business case studies involving customer segmentation and profitability analysis.
- Leveraged Microsoft Excel (pivot tables, VLOOKUP, conditional formatting, data cleaning) for data analysis and reporting.
- Built interactive dashboards and reports using Power BI to track KPIs and present trends.
- Applied exploratory data analysis techniques to derive actionable insights from structured datasets.
Featured Projects

Weather App
A clean and simple weather application that provides current conditions and a 5-day forecast for any city.

Pomodoro App
A productivity timer based on the Pomodoro Technique to help you focus on your tasks and take effective breaks.
Other Noteworthy Projects
Java, Spring Boot, MySQL, OAuth2, Redis
- Designed a RESTful CRUD API with validation and exception handling.
- Implemented Google/GitHub login using OAuth2.
- Configured Swagger for documentation and SonarCloud for code analysis.
- Introduced Redis caching to optimize API performance.
TensorFlow, Keras, IBM Watson CV
- Developed a multi-class waste image classifier using pre-trained CNNs.
- Fine-tuned layers, applied data augmentation, and early stopping.
- Achieved 85% validation accuracy with K-fold cross-validation.
Python, PRAW, TextBlob, Pandas
- Extracted Reddit posts from multiple subreddits using PRAW.
- Performed sentiment analysis using TextBlob polarity scores.
- Preprocessed text using regex and stopword filtering.
PyTorch, IBM Watson CV, NumPy
- Built a model using PyTorch and transfer learning.
- Automated data handling via IBM's CV Studio.
- Achieved 80% validation accuracy.
Python, NLTK, Pandas, Plotly
- Analyzed tweets across categories using NLP.
- Cleaned and categorized tweets to remove noise.
- Created interactive visualizations with Plotly.
Certifications
IBM AI Engineering Professional
View CertificateMachine Learning with Python
View CertificateData Analysis with Python
View CertificatePython for Data Science, AI & Dev
View CertificateOracle SQL Databases
View CertificateDeep Learning Essentials with Keras
View CertificateFoundations of Cybersecurity
View CertificateAssets, Threats & Vulnerabilities
View CertificateContact Me
I'm always open to new opportunities and collaborations. Feel free to reach out!