Short Bio

I’m a Software Development Engineer II at ObserveAI, where I work on the Data Platform team building and optimizing scalable data pipelines, enhancing system observability, and driving critical infrastructure migrations. 

I graduated with a B.Tech (Hons.) in Electrical Engineering from the Indian Institute of Technology Bhubaneswar, where I also conducted research in adversarial machine learning that led to publications in leading IEEE conferences and journals.

I also contribute to the academic community as a reviewer for Neural Networks, an official journal of the International Neural Network Society, evaluating cutting-edge technical research in machine learning and computer vision.

Passionate about solving real-world data challenges and continuous innovation, I enjoy contributing to open-source projects, reviewing technical research, and mentoring emerging talent. Feel free to explore my projects and learn more about my professional journey.

Publications

[1] A. Sinha, Niladri B. Puhan et al., “Adversarial Defense with Robust Principal Component Analysis and Wavelet Denoising,” 2023 3rd International Conference on Range Technology (ICORT), Chandipur, Balasore, India, 2023, pp. 1-6, doi: 10.1109/ICORT56052.2023.10249152.

[2] A. Sinha, S. P. Dash, Niladri B. Puhan, “NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction Operation,” in IEEE Sensors Letters, vol. 6, no. 1, pp. 1-4, Jan. 2022, Art no. 7000104, doi: 10.1109/LSENS.2021.3135433.