Vandana B N

Engineered a peer-to-peer data optimization solution for CDN edge infrastructure, resulting in a prototype with enhanced data fetching performance. Implemented kernel-based data retrieval from peer edge servers to achieve lower latency and higher throughput compared to traditional methods.

Performed board bring-up for custom ARM-based Skycoin devices, enabling the initial Linux kernel boot. Ported and configured the Linux kernel and bootloader (e.g., U-Boot) for the target hardware. Developed and integrated LCD drivers to ensure proper hardware functionality within the Linux environment.

Enhanced the Vivid virtual video driver by developing and integrating emulation support for metadata streams and touch input devices. Integrated a predictive memory reclamation algorithm, leveraging linear regression, into Linux
VM subsystem to forecast and prevent memory exhaustion.

Contributed to the design and development of a Linux-based distributed filesystem, utilizing the underlying scale-out architecture and management capabilities of Ibrix integrated with HP 3PAR File persona. Worked on the core design of a next-gen file system with agile capacity and unified management, supporting a rich set of file protocols along with core file data services. Improved the robustnes

Developed Linux Target Mode Driver for FCoE protocol, including interaction with SCST backend and support for FC primitives. Built embedded multimedia player for iMX31 and BCM7440 platforms supporting MPEG, DVB-H, and audio/video playback.

Developed a wavelet-based image compression solution for satellite imagery using Haar wavelets. Implemented multi-resolution decomposition, compression, and reconstruction for effective storage and transmission.

Completed a Master of Arts in Philosophy, focusing on the intersection of philosophy and artificial intelligence. Wrote a dissertation titled 'Philosophy and AI – An Epistemological View'.

Obtained a Bachelor of Engineering degree with a major in Computer Science. Gained foundational knowledge in various aspects of computer science and engineering.

Completed pre-university coursework, which serves as a foundation for higher education. Studied a broad curriculum to prepare for university-level studies.

Completed 10th grade education, fulfilling the requirements for secondary schooling. Gained fundamental knowledge across various subjects.

Conducted a research project on the application of Wavelet Transform in Satellite Image Processing. Developed a wavelet-based image compression solution using Haar wavelets, implementing multi-resolution decomposition, compression, and reconstruction.