Crafting Secure and Intelligent Solutions: Harnessing AI, Machine Learning, and Design to Drive Innovation and Excellence
bsriniv@gmu.eduWork Experience
Fairfax, Virginia
Audiovisual Technician | IT Specialist | AV Systems Integrator
Mumbai, India
IT Auditor | Software Engineer | Automation Specialist
Dallas, Texas
AI Researcher | Front End Developer
Coimbatore, India
AI Engineer | Full Stack Developer | Deep Learning Specialist
Projects
Utilized Apache Spark for data cleaning and machine learning models for sentiment analysis of IMDb reviews. Optimized models with cross-validation, identified top reviewers by net helpfulness scores, and used data visualization to highlight trends and insights on community engagement and content quality.
Developed a Multi-Modal Music Genre Classification System using TensorFlow, PySpark, SVM, and NLP models. Improved genre classification accuracy through comprehensive data analysis and visualization, including Box plots, Heat maps, and T-SNE, to demonstrate balanced dataset distributions and audio feature correlations.
Developed an advanced detection system using machine learning algorithms. Proficient in data analysis and model development with Python libraries (numpy, pandas, sklearn, keras). Applied various ML techniques, including Random Forest, Decision Trees, Naive Bayes, Logistic Regression, SVC, and Gradient Boosting, to handle multivariate datasets and perform classification tasks.
Led a team in developing LSTM and ARIMA models for stock market prediction. Utilized 10 years of FAANG data, applying comprehensive statistical and mathematical analysis. Achieved 85% accuracy with the ARIMA model, demonstrating significant profitability potential and a deep understanding of market dynamics.
Designed and developed an autonomous drone for obstacle-free navigation. Led a team to implement a YOLO-based object detection model, integrating it into the drone's system. This enhanced the drone's autonomous capabilities, demonstrating proficiency in computer vision and AI technologies.
Led full stack development of an iOS and web-based Library Management System. Enhanced user experience with a user-friendly UI for efficient check-in and check-out operations, and ensured robust back-end functionality using Firebase for real-time database management.
References
- Professor Zhu Ziwei
Associate Professor at George Mason University
Skunkworks Lab
Drawing inspiration from the pioneering secret projects of Lockheed Martin's Skunk Works, my 'Skunkworks Lab' is a space dedicated to experimentation and innovation. This collection comprises ideas and projects that are in various stages of development, each representing a bold step into uncharted territories. Just as Skunk Works projects pushed the boundaries of aerospace technology, my Skunkworks Lab is where groundbreaking concepts are nurtured and prepared for future breakthroughs.