Academics
Education, research, certifications, and recognition
Research Interests
Birla Institute of Technology and Science (BITS), Pilani
WILP (Work Integrated Learning Programme)
M.Tech in Data Science and Engineering
Relevant Coursework
Machine Learning
Deep Learning
Natural Language Processing
Data Mining
Data Structures and Algorithms
Dissertation
Explainable AI for Predicting Malware Infection
Nov 2023 – Apr 2024
Developed an interpretable ML pipeline on the Microsoft Malware dataset (8.9M devices) with GDPR-compatible explainability for cybersecurity applications.
- Trained ML model achieving ~66.7% accuracy and ~66.4% recall, aiding proactive mitigation of data breaches and financial risks.
- Applied EBM, SHAP, LIME for interpretability, producing local + global explanations with uncertainty for regulatory + trust alignment (GDPR-compatible design).
- Engineered features from 4.1GB (83-field) dataset, optimizing memory usage by ~50% via columnar transformations in Pandas/Polars.
EBM
SHAP
LIME
Polars
Pandas
scikit-learn
XGBoost
SRM University, Haryana
B.Tech in Computer Science and Engineering
Relevant Coursework
Database Management Systems
Software Engineering
AI and Expert Systems
Data Mining
Data Structures and Algorithms
Certifications
Azure AI Engineer Associate
Acknowledged Contributor — The Hundred-Page Language Models Book
Awards & Recognition
Best Team Award (2x), On-the-Spot Award (5x), Special Initiative Award
Semi-Finalist — TechGig Code Gladiators