About
I am a Healthcare AI and Data Scientist specializing in medical imaging, with experience building clinically deployable deep learning systems for radiology and hospital workflows. At mlHealth360, I develop advanced pipelines for automated chest X‑ray interpretation and report generation, integrating large‑scale real-world datasets with high-performance models optimized for both cloud and edge deployment.
I hold an M.A.Sc. in Computer Engineering (CGPA: 3.93/4.00) from the University of Guelph, supported by multiple competitive scholarships including the Queen Elizabeth II Graduate Scholarship in Science and Technology. My graduate research focused on Adaptive Differentially Private Federated Learning (ADP‑FL) for 3D medical segmentation, achieving up to 18% Dice improvement at extremely strict privacy budgets (ε = 0.001) across heterogeneous multi‑institutional datasets. This work earned the CAD Best Paper Award (1st Place) and Robert F. Wagner All‑Conference Best Paper (Finalist) Award at SPIE Medical Imaging-2026, Vancouver, Canada.
My broader interests span AI for Healthcare, including medical image analysis, privacy‑preserving learning, multimodal clinical AI, and robust model deployment. I am passionate about designing intelligent, secure, and reliable systems that meaningfully support clinicians and improve patient outcomes.
Gallery
Computer-Aided Diagnosis Best Paper Award: 1st Place
Awarded at SPIE Medical Imaging 2026 for outstanding contributions to the development and application of computer-aided detection and diagnosis systems in medical imaging.
Robert F. Wagner All-Conference Best Paper Award: FINALIST
Awarded at SPIE Medical Imaging 2026 as one of the highest-scoring papers across nine conferences for technical excellence, innovation, and impact in medical imaging.
SPIE Medical Imaging-2026 Highlights
A collage of highlights from SPIE Medical Imaging 2026, featuring the poster presentation, best paper awards, and moments with conference chairs and fellow award recipients in Vancouver, Canada.
5th Best Paper Award
Received for an outstanding research paper recognized for technical excellence at the IEEE International Conference on Healthcare Engineering, Johor, Malaysia, in 2022.
Top Project Award
Awarded for developing an EMG-Biofeedback Device for rehabilitation at the MIST BME Festival intra-university project competition in 2018.
Best Informative Poster Award
Received for presenting an informative poster with technical feasibility evidence on "Photosweep: Cost-effective sterilization system" at the MIST BME Festival in 2018.
ICETE Paper Presentation
Presented research titled "Development of an Inexpensive Proficient Smart Walking Stick for Visually Impaired People" at ICETE in Hyderabad, India, in 2019.
Hult Prize Winner: 2nd Runners up & Shanghai Regional Finalist (2018)
Recognized for outstanding performance in the Hult Prize competition, earning 2nd Runner-up status and becoming a Shanghai Regional Finalist in 2018 for proposing innovative engineering and business solutions to global challenges.
MIST Dean's List
Got enlisted in MIST Dean's List for academic excellence in my undergraduate studies for securing overall CGPA of 3.81/4.00 in third academic year
MIST Dean's List
Got enlisted in MIST Dean's List for academic excellence in my undergraduate studies for securing overall CGPA of 3.77/4.00 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.