Experience

You can also find my CV here .

Mar. 2024 – Aug. 2024

Researched fair preference aggregation in optimization-based voting rules.

Jan. 2023 – Feb. 2024

Subgroup Fairness Auditing: Detected bias in AI models using counterfactual explanations, assessing fairness in achieving recourse at individual and group levels. Presented at NeurIPS 2023.
FACTS Framework Integration: Contributed to the development of the FACTS framework, which is integrated into the AI Fairness 360 toolkit for bias detection.
Global Counterfactual Methods: Designed clustering-based methods for global counterfactuals; paper under submission.
Robust Fairness via Randomization: Studied randomization's role in achieving robust fairness without known protected attributes. Presented at ICDEW 2024.

May 2021 – Dec. 2023

Label Ranking (LEADAlgo Project): Introduced a nonparametric regression approach, providing theoretical guarantees and efficient algorithms. Presented at ICML 2022; selected as Long Presentation (Top 10%).
Timeseries Clustering (BALSAM Project): Implemented clustering techniques for timeseries using Sparse Gaussian Process Regression and k-means. Journal publication.

Jun. 2019 – Dec. 2020

ProPML (ESA/ESOC Funded): Led analysis and visualization of ESOC ground system logsusing Elastic Stack and Python. Created a labeled dataset for anomaly detection in ESOC ground systems. Designed and implemented machine learning models for anomaly detection using RNNs. The findings were presented in ESAW 2021 and WPMC 2022.
ATMS (ESA/ESTEC Funded): Designed a recommender system for automated testing, enhancing test management efficiency.

Oct. 2017 – Jun. 2019

Built backend solutions for an e-commerce platform and designed decision-making applications for space industry projects.

Backend E-commerce Platform Development: Developed backend and search features using Java, Spring Boot, and ElasticSearch; created complex filtering and predictive text functionalities.
Frontend E-commerce Platform Development: Built user interfaces and bug-fixing using Angular, Bootstrap, and HTML5.
NUI (ESA/ESOC Funded): Designed and implemented a Ground Station Schedule Editor Eclipse RCP application, with a Business Rules Engine for validation in the backend. Used Java FX and JBoss Drools.