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GSoC2020-Doc
August 28, 2020 – August 30, 2020
Concluding document to highlight work done as part of Google Summer of Code 2020 under The Linux Foundation.
View ProjectTheGuardian
May 16, 2020 – May 31, 2020
TheGuardian exposes mitigation techniques for cache-based side channel attacks by devising a secure LLC replacement policy. Tests were conducted on ChampSim to make it immune to such cross-core eviction attacks.
View ProjectTests-on-Simple-Scalar
April 17, 2020 – May 9, 2020
Contains source code to carry out tests & analyse the results of various branch predictors against each other. Additionally, demonstrates the benefits of cache-oblivious algorithms. Done as part of VL-803 Processor Architecture course at IIIT-B (Spring 2020).
View ProjectDrone-Simulation
February 28, 2020 – May 4, 2020
A naive quadcopter simulator equipped with the mathematical model of the drone and its dynamics in the environment. Control methods are employed to fly the drone with the desired goals given the initial conditions.
View ProjectProjectorController9000
November 25, 2019 – February 23, 2020
Using Linux kernel modules to control projector automatically with Raspberry Pi
View ProjectEmoRecog
November 22, 2019 – November 22, 2019
Classify the emotional state of person using visual features by incorporating traditional Mahine Learning techniques.
View ProjectARM-Arch
October 27, 2019 – December 9, 2019
Assignments portal for Advanced ARM Architecture at IIIT-B (Fall, 2019)
View ProjectAudioTalkie
May 19, 2019 – May 28, 2019
Dispatch encoded messages from one machine to the other via audio waves.
View ProjectDialect-Classification
October 20, 2018 – November 4, 2018
Dialect Classification using techniques of Signal Processing and Machine Learning.
View ProjectThermography_based_Blood_Flow_Imaging
September 6, 2018 – November 25, 2018
Implementation of paper titled "Thermography-based blood flow imaging in human skin of the hands and feet: a spectral filtering approach" by A A Sagaidachnyi et al
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, showcasing a strong individual drive and interest in diverse technical areas. However, there is no information regarding team-based projects or contributions to open-source communities beyond GSoC, which limits the assessment of cultural fit for a collaborative professional environment. The projects lean heavily towards low-level systems and hardware, which might not directly align with a typical Data Scientist role's collaborative and business-oriented aspects.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear but do not offer insights into collaboration, problem-solving approaches, or communication styles in a team setting.