Work Experience
- Working on problems in secure multi-party computation, differential privacy and private ML
- Currently exploring malicious-secure function secret-sharing schemes with applications to anonymous systems and PSI protocols
- Developed a framework for differentially private neural network training in a multi-party setting
- Published a paper on secure and differentially-private multi-party deep learning, to appear in PETS 2025
- Advisors: Dr. Satya Lokam, Dr. Nishanth Chandran and Dr. Divya Gupta
- Worked in the Artificial Intelligence team of the firm on credit and fraud risk detection model
- Developed a hyperparameter tuning framework for XGBoost models using Bayesian Optimization
- Assisted 10+ teams to streamline hyperparameter tuning jobs and improve delivery time
- Mentors: Prashant Ruwali (Senior Product Manager) and Krishna Sunkara (Director, Data Science)
Liver Metabolism Group, Humboldt University of Berlin
- Worked on the analysis and quantification of microcirculation data in human and rat liver samples
- Developed effective blood-vessel detection tools from microscope videos using morphological techniques
- The tools proved robust against variable lighting, microscope motion and non-uniform pigmentation
- Advisor: Dr. Matthias Konig
- Worked in the software engineering team of the Wealth Management department
- Developed a real-time notification system within the firm's internal loan management portal
- Reduced the load on external channels (e.g. email notifications) by more than 75%
- Mentor: Diksha Arora (Associate Manager)
- Worked on a systems biology project in the National Resource for Network Biology group
- Developed a human-friendly interactive tool called "SBML4Humans" to visualize biological structures written in a rather inscrutable markup language
- Designed efficient data-structures to write/access huge markup codes for large-scale biological structures
- Advisor: Dr. Matthias Konig
Dept. of Computer Science, BITS Pilani
- Worked on projects in blockchain, federated learning and applications of secure computation to forensics
- Secured funding from IEEE to develop a private COVID-19 vaccination system, additionally resulting in a research article
- Developed a decentralized medical-records system using proxy re-encryption on a Solana blockchain
- Academic Mentor: Dr. Amit Dua
Teaching Assistantships
Responsible for conducting lab sessions, project formulation and framing lab examination questions.
Object-Oriented Programming
Artificial Intelligence