[02/2025] Secured 8th rank (50 teams) in RL course (Tübingen) competition on a two-player hockey game
[08/2024] Paper: Short-term air pollution prediction using graph convolutional neural networks published in Technological Forecasting and Social Change
[04/2025] Started new position as Working Student at Mercedes-Benz AG
[01/2024] Secured 2nd rank (55 teams) in a Deep Learning course (Tübingen) challenge on object detection
[11/2023] Two papers in computer vision (part of Bachelor's work) accepted and presented at IEEE ASPCON 2023
[10/2023] Studying Masters in Machine Learning at Eberhard Karls University of Tübingen
[01/2023] Selected for the Google Research Week 2023 at Bangalore, India (Jan 29-31, 2023)
[12/2022] First paper on Road Anomaly Classification selected for publication in Springer journal Mobile Networks and Applications (MONE). DOI: https://doi.org/10.1007/s11036-023-02118-6
[05/2022] Selected as Research Intern at TCS Innovation Labs for 5 months on model pruning and compression techniques
[04/2022] Mentor at Red Hen Lab for Google Summer of Code 2022.
[02/2022] My work for Google Summer of Code 2021 @ Red Hen Lab got selected for presentation as part of symposium at International Society for Gesture Studies (ISGS) 2022.
[01/2022] Presented an idea on drone monitoring using transformers based on anticipative video transformers at MLDS conference 2021.
[11/2021] I gave a talk on my work for Google Summer of Code 2021 @ Red Hen Lab at the Oxford IMCC. (Link)
[04/2021] Got selected into Google Summer of Code 2021 @ Red Hen Lab
[08/2020] Finished with rank 49 (Top 2%) in SIIM-ISIC Melanoma Classification challenge on Kaggle
[11/2019] Got selected for the JBNSTS scholarship