Deepanshu Tolani

Research Intern

Talent

DelhiMember since 2 June 2026

full-stack developmentand cloud engineeringdeploying real-world AI solutionsAWSand modern technologies.PythonPyTorchOpenCVFlaskDockerFastAPITransformersNLPDeep Learning

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full-stack developmentand cloud engineeringdeploying real-world AI solutionsAWSand modern technologies.

About

Integrated six heterogeneous forensic log sources into a unified NTFS Master File Table (MFT) using Python, enabling structured data indexing, faster querying, and improved forensic traceability. Implemented a scalable Python-based parsing engine to ingest, validate, and normalize multi-source NTFS logs, eliminating processing bottlenecks and improving pipeline throughput and data reliability. Pioneered and hardened ETL data pipelines in Python with modular processing stages, reducing manual intervention and improving reproducibility, fault tolerance, and analytical accuracy.

Experience

Research Intern - National Institute of Technology, Raipur - Raipur, India

(2025-05 - 2025-07)

Integrated six heterogeneous forensic log sources into a unified NTFS Master File Table (MFT) using Python, enabling structured data indexing, faster querying, and improved forensic traceability.
Implemented a scalable Python-based parsing engine to ingest, validate, and normalize multi-source NTFS logs, eliminating processing bottlenecks and improving pipeline throughput and data reliability.
Pioneered and hardened ETL data pipelines in Python with modular processing stages, reducing manual intervention and improving reproducibility, fault tolerance, and analytical accuracy.