Dynamic machine learning expert with a proven track record at Shifted Origin LLC, where I engineered an AI-driven stock market prediction system. Skilled in predictive modeling and feature engineering, I excel in delivering impactful solutions while mentoring teams. Adept at Python and fostering collaboration, I drive innovation in high-stakes environments.
BullBot, AI-Driven Stock Market Prediction System, Designed a deep learning model to classify stock price movements into short-term & long-term gain/loss categories., Engineered real-time data pipelines to process and analyze financial datasets using NLP, LSTMs, and transformers., Optimized feature extraction using VWAP, RSI, MACD, and Bollinger Bands for predictive analysis. QuickAid, AI-Powered First Aid Assistant, Developed a computer vision-based injury classification model using YOLOv5 and MobileNet., Built an AI model that analyzes medical images and provides first aid guidance using a lightweight PyTorch framework., Integrated automated image preprocessing and deep learning pipelines for real-time image recognition. Deep Learning for Video Action Segmentation, (Intel Labs Mentorship), Implemented graph-based neural networks to detect actions in video sequences., Trained and fine-tuned models for spatial-temporal reasoning in AI-driven video understanding., Utilized DINOv2, 50Salads dataset, and GraVi-T framework to enhance action detection accuracy.
Google Developer Group (GDG) Virginia Beach – Organizer