Learner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
gpu-memory-profiler
June 2, 2026 – Present
GPU memory bandwidth profiler for video ML — built with CUPTI, C++, Python
View ProjectGstreamer-Audio-Visualization
April 12, 2026 – Present
a gstreamer application which takes a audio file and creates video visualizations.
View Projectencoder-profiler
March 13, 2026 – Present
Tool of a CPU-based x264/x265 pipeline profiler measuring latency, throughput, and resource usage
View ProjectWebRTC-Streamer
March 7, 2026 – Present
A streaming solution service based on WebRTC Protocol
View ProjectV4L2-Programs
April 8, 2025 – Present
some of V4L2 basic programs which are build and tested on 6.14.0-37-generic kernel version.
View ProjectCustomized-Virtual-FIle-System
June 16, 2021 – August 1, 2021
In this project implemented all necessary data structures of file system like Incore Inode Table, File Table, UAREA, User File Descriptor table.
View ProjectCovid-FLutter
March 17, 2020 – October 24, 2020
Flutter based mobile app for Covid case tracking, to be connected with rest api to send data on web
View Projecthttps-github.com-Adityasakare-Cardiovascular-Disease-Analysis-and-prediction
October 7, 2019 – October 7, 2019
https-github.com-Adityasakare-Cardiovascular-Disease-Analysis-and-prediction — GitHub repository
View ProjectCardiovascular-Disease-Analysis-and-prediction
July 8, 2019 – March 18, 2020
This is Cardiovascular Disease predication model using KNN algo
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and building. The diversity of projects, from low-level system programming (V4L2, Customized-Virtual-FIle-System) to mobile app development (Covid-FLutter) and data science (Cardiovascular-Disease-Analysis-and-prediction), suggests a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.