Short Bio

I am a Senior Software Engineer specialising in building scalable data platforms, distributed systems, and high-performance data pipelines. My work focuses on designing reliable infrastructure, improving system observability, and driving complex platform and data-engineering initiatives.

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

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

Driven by real-world data challenges and a commitment to continuous innovation, I enjoy contributing to open-source projects, reviewing technical research, and mentoring emerging engineers. You can explore my work 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.