Second-year B.Tech Computer Science student and Reliance Foundation Scholar specializing in machine learning, data science, and object-oriented systems.

Experience in building applied ML pipelines, medical segmentation systems, anomaly detection frameworks, and backend-integrated AI applications.

Dec 2025 – Present

• Integrated MONAI Auto3DSeg into production inference services using FastAPI
• Built CT skull segmentation pipeline with DICOM normalization
• Improved throughput and reliability for clinical workflows
• Designed async processing pipelines

Apr 2025 – Present

• Worked on AI/ML R&D initiatives
• Organized technical innovation-driven events

AI cyber-forensics system using PyTorch ensemble anomaly detection on UNSW-NB15 dataset.
Mapped attack narratives to MITRE ATT&CK. Ranked Top 50 nationally.

FastAPI backend enabling CT segmentation with MONAI and GPU inference.
Includes medical volume normalization and visualization tools.

Fine-tuned MetricGAN+ for multilingual speech denoising across multiple environments.
Served via backend APIs with demo interface.

Multi-agent AI pipeline using CrewAI for automated market research and reporting.

Built retrieval-augmented chatbot using embedding search and document pipelines.

• IEEE CS Internal Hackathon — First Prize
• CSIC 1.0 — Top 50 Selection
• Reliance Foundation Undergraduate Scholar

• ML-Based Energy Complexity Analysis — IEOM 2025
• Energy-Aware Data Structures — Indian Patent (Co-inventor)