About
I am a Healthcare AI and Data Scientist at mlHealth360, building advanced deep learning pipelines for Orion and Scaida-radiology AI assistants that streamline diagnostic interpretation and automate clinical report generation using real-world hospital data.
I hold an M.A.Sc. in Computer Engineering from the University of Guelph (CGPA: 3.93/4.00) with a B.Sc. in Biomedical Engineering. I am recipient of multiple scholarships, including the Queen Elizabeth II Graduate Scholarship in Science and Technology. My master's research focused on optimizing Differentially Private Federated Learning (ADP-FL) for privacy-preserving medical image segmentation, achieving upto 14% Dice score improvement across KiTS23, BraTS24, and FeTS24 benchmarks.
My research interests encompass AI for Healthcare in all its forms, with a focus on developing intelligent, secure, and reliable models that advance clinical diagnostics and decision-making.
Gallery
5th Best Paper Award
IEEE International Conference on Healthcare Engineering, Johor, Malaysia (2022)
ICETE Paper Presentation
Presenting research paper at ICETE, Hyderabad, India (2019)
ICETE 2019
Attending the International Conference in Hyderabad, India (2019)
Top Project Award
EMG-Biofeedback Device for Rehabilitation, MIST BME Festival (2018)
Best Informative Poster Award
Photosweep: Cost-effective hospital sterilization using solar energy
Hult Prize
2nd Runners up & Shanghai Regional Finalist (2018)
Hult Prize Ceremony
Receiving 2nd Runners up at Hult Prize@MIST (2018)
MIST Dean's List
Academic excellence in third academic year
Microcontroller Project
2nd Runners up at MIST Project Fair (2018)
MIST Dean's List
Academic excellence in second academic year
Featured Projects
Multiclass Semantic Segmentation
KiTS19 dataset segmentation with 91.03% kidney and 62.82% tumor Dice scores.
Medical Chatbot with RAG
PubMed-trained LLM with 96.7% context precision and 85% faithfulness.
Job Market Analysis & Prediction
Big data analysis of 1.6M job records with $10K RMSE salary prediction.