👨🏻‍💻 I’m currently working as a Researcher at the TU Delft.

🔬 My research interests lie in neuromorphic computing, edge AI, and biologically inspired algorithms for energy-efficient and sustainable intelligent systems.

Masters Thesis

📚 My Master’s Thesis was on the topic - “Neuromorphic Compression and Distributed Computing for On-Implant Neural Signal Processing in Brain-Computer Interfaces”, Aug 2024. The link to this thesis can be found in TU Delft Repository.

🏆 Awarded Second Prize in the “Best MSc Graduate Awards” at Delft Bioengineering Institute, Dec 2024.

Selected Projects

👩🏻‍💻 Power-Efficient Two-Step Data Compression and Distributed Computing System for Extreme- Edge Devices using Spiking Neural Networks under the European Research Council (ERC), 2024 (Thesis Grade: 9, Best MSc Graduate Award)

👩🏻‍💻 Cross-Language Communication Enhancement using Transformer Models for Real-Time Translation on Cloud Platforms, 2024.

👩🏻‍💻 Voice & Vision assistant using OpenAI Real-Time API and Llama open-source vision models, with AI agents and dynamic function calling using WebRTC-based LiveKit framework, 2024.

👩🏻‍💻Utilizing Spatial Data Science Techniques to Uncover Healthcare Vulnerabilities in the City of Rotterdam, 2024.

👩🏻‍💻Finger velocity Decoding with In vivo neural data using Efficient Spiking Neural Networks, 2023.

👩🏻‍💻Implemented Mobile Applications using Java, Featuring Algorithms for KNN, Bayes, and Particle Filter for Human Activity Detection, 2023.

👩🏻‍💻Developed a drone-based system for deforested land detection using YOLO v3 and automated seed dispersal with APM 2.8 and Raspberry Pi, 2021.

👨🏻‍🔬 Professional Experience

Currently I am working as a Researcher at the Quantum and Computer Engineering (QCE) Department TU Delft working on Self-Healing RRAM-based Neuromorphic Computing for Edge AI. Additionally, I have professional experience working as an Graduate Student Researcher at the IMEC in Eindhoven worked I worked on my thesis.