Available for opportunities
Computer Science student building intelligent, scalable solutions — from medical image classification to cloud infrastructure and automated pipelines. Currently working in real-world AI data operations.
I'm a Computer Science student at Texas College of Management & IT with a strong passion for artificial intelligence and machine learning. My work spans deep learning, cloud infrastructure, and data engineering — always with a focus on building things that actually work in the real world.
My letest project, NeuroScan AI, is a full-stack brain tumor classification platform achieving 86% accuracy with 97% recall for pituitary tumors — reflecting my commitment to applying ML to high-impact healthcare problems.
Working within the CloudFactory pipeline to support machine learning model development through high-quality data annotation and quality assurance.
Currently in 8th semester with a specialization focus on AI/ML, cloud computing, and DevOps practices.
A full-stack medical imaging platform using a custom CNN to classify brain MRI scans into Glioma, Meningioma, Pituitary, and No Tumor categories. Integrates Grad-CAM for visual explainability — showing heatmaps of tumor regions to support clinician review. Built with Next.js, FastAPI, and PostgreSQL with Cloudinary image storage.
Built AI-powered chatbots for business use cases — designing conversational flows and intents, integrating NLP services via Dialogflow and OpenAI API, and deploying backend services using Flask.
Automated data extraction from multiple web sources, cleaned and transformed raw data for analysis, and prepared analytics-ready datasets — handling edge cases and anti-scraping measures.
Developed a system to fetch data from public APIs on a schedule and fire automated alerts via webhooks based on defined trigger conditions — eliminating manual monitoring.
Designed and implemented an end-to-end CI/CD pipeline using Jenkins for automated testing and deployment. Configured Docker containers for isolation with automated workflows from source control to production.
I'm actively seeking opportunities to grow as a junior AI/ML engineer. Whether it's a full-time role, internship, freelance project, or research collaboration — I'd love to connect and discuss how I can contribute.