Experience

🏥 MP4-to-DICOM Conversion (Under Prof. Dr. Deepak Agrawal, AIIMS Delhi)

Contributor (Engineering-Driven Collaboration)
Jun 2025 – Present · New Delhi, India

• Working under the mentorship of Prof. Dr. Deepak Agrawal at AIIMS Delhi, contributing to a project focused on automating MP4-to-DICOM conversion for radiology video workflows.
• Engaged in system design and integration to support format transformation in clinical pipelines.
• Evaluating tools for reproducibility, scalability, and infrastructure readiness.
• Though not formally commissioned by AIIMS, the project is intended to support AIIMS radiology departments and aligns with ICMR-oriented objectives.

🔬 GGSIPU – University School of Automation and Robotics

Undergraduate Research Associate
Jul 2024 – Present · New Delhi, India
Mentors: Dr. Sanjay Kumar Singh (GGSIPU), Dr. Pranshu Saxena (Bennett University)

• Conducted deep learning research in medical and agricultural imaging.
• Published 2 IEEE papers focused on transfer learning and Bayesian optimization.
• Achieved 97.23% accuracy in tomato leaf disease detection using optimized Xception.
• Enhanced breast tumor classification to 98.46% using fine-tuned CNNs and Population-Based Training.
• Currently leading a journal-level study involving MC Dropout and temperature scaling for calibrated predictions.

📊 M.K. Associates (Remote)

Financial Data Analyst Intern
Jan 2024 – Jun 2024

• Performed EDA on 10K+ financial transactions across 700+ client accounts.
• Identified and flagged 150+ high-risk anomalies, improving audit workflows.
• Built ML models for financial risk classification (93% accuracy).
• Automated reporting in Excel, reducing manual effort by 40%.
• Supported regulatory compliance by aligning outputs with business policies.