Building intelligent systems with Deep Learning, Computer Vision, and Generative AI. Currently pursuing MS in Applied ML at University of Maryland.
I'm a highly motivated Machine Learning Engineer graduating in 2027, with hands-on experience in building and deploying ML models. I specialize in deep learning, computer vision, and Generative AI applications.
Proficient in Python, PyTorch, and TensorFlow, I have a proven track record of translating complex business problems into elegant technical solutions and optimizing models for real-time applications.
My work has been published at prestigious conferences including IWSHM 2025 at Stanford University, and I'm passionate about pushing the boundaries of what's possible with AI.
Full-stack medical assistant for chest X-ray analysis combining Computer Vision with Generative AI. Uses ResNet50 CNN to detect 15 thoracic diseases with Grad-CAM for interpretability.
Computer Vision sensor system for obstacle detection and track health monitoring using RT-DETR, YOLOv8, and MaskRCNN models. Accepted at IWSHM 2025, Stanford University.
AI agent with adaptive difficulty adjustment achieving 94.9% engagement prediction accuracy and 52.5% difficulty optimization using RandomForest models.
Consumer digital product integrating speech-to-text and text-to-speech functionalities with NLP capabilities for seamless voice interactions.
Research on techniques to obtain optimal hyperparameter combinations for improved ML model performance. Paper accepted at ICOAI 2024.
Machine learning model classifying breast cancer tumors using SVM, Random Forest, and Neural Networks with advanced feature engineering.
Advanced computer vision techniques for real-time railway safety monitoring using state-of-the-art deep learning models.
Research on integrating multiple CV models for comprehensive railway infrastructure monitoring.
Using Seismosignal software to convert FFTs to Continuous Wavelet transform for analyzing seismic risks.
Research analyzing earthquake risks to buildings for better structural planning.
I'm actively seeking internship opportunities for 2026. Let's discuss how I can contribute to your team!