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An app for AI based Skin disease diagnosis. It doesn't require any special equipment (like a dermoscope), just clinical images taken from a decent smartphone camera.
An aws/rekognition based prototype webapp for searching missing people. It was developed as a side project to showcase the use and advantages of AI based image recognition system.
A collection of scripts for batch downloading of torrents from piratebay.org. It works similar to most of the bittorrent clients, except that being command line based, these scripts can be automated and can immensely help when we have hundreds of torrents to download.
A collection of scripts for price data analysis and backtesting technical trading strategies.
A project developed and engineered for generating arm based multicore tests for Freescale's LayerScape family of SoCs
An experimental instruction set simulator for e500 PowerPC core. It was designed as a fun project to learn the basics of abstract level hardware modelling.
A command line tool to decode powerpc opcodes to their correspondng mnemonics and vice-versa. It was actually tuned for e500 family of PowerPC cores, since that's what I used to work with.
A shell based audio mixer for OSSv4 Linux driver using ncurses. The project after being usable for few years was abandoned due to a lack of need.
Worked as an Infrastructure tools developer as part of post silicon validation bringup team. Later on got involved in writing & debugging validation tests for multicore cpus.
Took ownership for multicore validation of several PowerPC based SoC cores. Developing cache coherency and memory consistency tests. Took complete ownership for the development of a multicore POR (power on reset) validation test framework for ARM64 based SoC.
Partner support enabling activities. Worked with ARM partners to make their product ARM compliant. Solving and debugging architecture related issues.
Leading Engineering efforts for Nurithm Labs Pvt Ltd. Driving the technical aspects of the business for development of an AI based skin disease diagnosis application.
Software validation activities as part of Intel Pytorch QA Team. Worked on tests (and test infrastructure) to enable various training/inference workloads on Intel’s dedicated AI accelerator chips.
Participated in ISIC 2019 Skin Lesion Diagnosis Challenge. Scored in top 5.
© 2020 Vikas Chouhan