Hello, I'm Nagashree DS
A passionate Web Developer & Cybersecurity Enthusiast
Passionate about leveraging technology to solve real-world challenges.
Experienced in developing intelligent systems and building innovative AI/ML applications.
About Me
AI Developer & Cybersecurity Enthusiast
Currently pursuing B.E in Computer Science at JSS Academy of Technical Education, Bengaluru with a CGPA of 8.44. I'm passionate about artificial intelligence, machine learning, and cybersecurity.
My experience spans from developing real-time AI applications to leading entrepreneurial initiatives. I've worked on projects ranging from phishing detection systems to sign language recognition, always with a focus on practical, real-world applications.
As an active member of NSS and various tech communities, I believe in using technology to make a positive impact on society.
🎓 Education
Bachelor of Engineering in Computer Science
JSS Academy Of Technical Education, Bengaluru
Dec 2022 - Apr 2026 | CGPA: 8.44
Active member of National Service Scheme (NSS) and Core Volunteer at NSS
Experience
Ideation Head
National Entrepreneurship Challenge (NEC), JSSATEB & IIT Bombay E-Cell
Sep 2024 - Mar 2025
Organized and executed successful startup pitch competition. Recruited and mentored 20+ student participants, resulting in strong representation from JSSATEB.
Student Intern
Consortium Of Electronic Industries of Karnataka, Bangalore
Dec 2024 - Mar 2025
Engineered data pipelines for efficient processing and storage using Python. Performed comprehensive data cleaning on industrial datasets, improving data quality by eliminating duplicates and standardizing formats.
Student Intern
Infosys Springboard
Oct 2024 - Mar 2025
Completed comprehensive AI learning pathways, gaining expertise in machine learning fundamentals. Participated in the Pragati Path to Future Cohort 3 on campus at Infosys Bangalore DC.
Campus Ambassador
Entrepreneurship Cell (E-Cell), IIT Bombay
Jul 2024 - Dec 2024
Ranked 154 among nationwide campus representatives, demonstrating exceptional performance metrics.
Featured Projects
Phishing Website Detection using AI
Developed a machine learning model to detect phishing websites using URL structure, domain metadata, and SSL certificate indicators. Achieved over 95% accuracy with Random Forest and SVM classifiers.
Real-Time Sign Language Recognition System
Developed a real-time sign language interpreter using Raspberry Pi, camera module, and OLED display. Trained custom LSTM models on gesture data tracked via Mediapipe to classify dynamic signs.
Portfolio Website Deployment
Designed and developed a personal portfolio website to showcase projects, skills, and experience. Deployed the site using GitHub Pages for free, reliable hosting with continuous version control.
Fake News Detection using AI
Developed a machine learning model to detect fake news articles using natural language processing techniques. Achieved over 90% accuracy using Logistic Regression, Random Forest, and Passive Aggressive Classifier models.
GCP Machine Learning Pipeline
Built an end-to-end machine learning pipeline on Google Cloud Platform for predictive analytics. Implemented automated model training, evaluation, and deployment using Vertex AI, achieving scalable ML operations with real-time inference capabilities.
IBM watsonx ML Model
Developed and deployed a machine learning model using IBM watsonx for predictive analytics, leveraging cloud-based tools for data preprocessing, training, and model evaluation. Enabled scalable and secure deployment with Watson Studio and watsonx.ai services.