Software Engineer | Love concurrency to the core!
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Microsoft
Data Scientist
June 16, 2026 – Present
pmem-memkind-perf-tool
November 30, 2020 – April 30, 2021
Performance analyser tool for PMEM memkind mode.
View ProjectRadial-Basis-Function-Network
November 13, 2018 – November 13, 2018
Radial-Basis-Function-Network — GitHub repository
View ProjectBiogeography-Based-Optimization-with-Extinction-and-Evolution
September 27, 2018 – December 1, 2018
Biogeography-Based-Optimization-with-Extinction-and-Evolution — GitHub repository
View ProjectBrain-Computer-Interface
September 15, 2018 – November 22, 2018
Brain-Computer-Interface — GitHub repository
View ProjectParallel-File-System-Document-Index
March 23, 2018 – April 3, 2018
Parallel-File-System-Document-Index — GitHub repository
View ProjectParallel-Semi-Ordered-Matrix-Search
March 23, 2018 – March 31, 2018
Parallel-Semi-Ordered-Matrix-Search — GitHub repository
View ProjectParallel-Word-Document-Index
February 16, 2018 – February 23, 2018
Parallel-Word-Document-Index — GitHub repository
View ProjectAudio-Emotion-Recognition
November 21, 2017 – March 22, 2018
The project aims to classify an audio on the basis of the pitch features using deep neural networks
View ProjectReadr
November 2, 2017 – September 24, 2019
Readr is a python library using which programmers can create and compare neural networks capable of supervised pattern recognition without knowledge of machine learning. These networks are fuzzy-neuro systems with fuzzy controllers and tuners regulating learning parameters after each epoch to achieve faster convergence.
View ProjectLayered-3D-Graphs
June 27, 2017 – January 12, 2023
Layered 3D graphs aims to plot 3D force directed and layered graphs on the basis of a "pre-requisite of" relationship between nodes. It borrows the philosophy from the paper "Latitude and Longitude of a Semantic System From a Directed Graph of Dependencies" by Nagarguna G. et al.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, particularly in advanced machine learning and parallel computing, suggest a strong drive for innovation and continuous learning. This aligns well with a research-heavy or technically challenging data scientist role. The diversity of projects indicates adaptability and a broad technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a strong interest in complex problem-solving and research-oriented development.