I'm a dual-degree Master's student at Virginia Tech, specializing in Computer Engineering and Biological Systems Engineering, with a focus on AI/ML applications in healthcare, Automotive, and smart systems. My journey combines industry experience and research innovation, driven by a passion for using AI to solve real-world problems.
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🧠 Machine Learning & Deep Learning
RAG pipelines, CNNs for ECG/EEG, XGBoost for predictive modeling -
🧪 Healthcare AI & Biotech Systems
Worked on FDA-approved AI tools and clinical trial automation -
🔬 Research & Innovation
AAAI paper | 2 Patents | L&T National Finalist for Smart Retail System
Languages: Python, SQL, C++, MATLAB
Frameworks/Tools: PyTorch, TensorFlow, LangChain, Streamlit, Flask, OpenCV, AWS, PostgreSQL, Git
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⚕️ AI for Cardiac Procedures
Built ECG+EGM models for arrhythmia detection used in 11 surgeries – [FDA approved, acquired by nference] -
🧬 Clinical Trial RAG System
Built LangChain+GPT-4 pipeline for structured clinical trial generation using Cosine similarity and ROUGE metrics -
🛒 Smart Trolley (Zenkart)
Patented IoT self-checkout system with YOLOv2 + Firebase backend – reduced billing time, improved UX
- AAAI 2024: Intrusion Detection with Deep Autoencoders + RAG
- 2 Patents: AI Supermarket & Smart Billing
- IEEE CONECCT Finalist | Top 1.7% Nationally by Larsen & Toubro
