Department of Computer Science & Engineering | IIT Delhi
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IIT DELHI
Embedded Systems Engineer
June 19, 2026 – Present
Stock-Screener-Application
June 11, 2025 – June 11, 2025
Stock-Screener-Application — GitHub repository
View ProjectMatrix-Multiplication-using-MPI
February 1, 2024 – February 1, 2024
Implement a distributed algorithm to find the product of 2 matrices
View ProjectBudget-Allocation-Application-using-React
October 10, 2023 – October 10, 2023
Budget-Allocation-Application-using-React — GitHub repository
View ProjectParallel-LU-Decomposition
June 12, 2023 – February 1, 2024
Implement a parallel version of LU Decomposition problem using OpenMp threads and Pthreads.
View ProjectAdvertisement-Management-System
April 24, 2023 – April 24, 2023
Advertisement System where we parallely identify the influencers which are connected to maximum number of k-truss groups from a social network presented in the form of a graph.
View ProjectExternal-K-way-Merge-Sort
April 16, 2023 – April 16, 2023
Implement a fast K-way merge-sorting of a large number of character strings. The size of the file storing the strings is grater than the main memory available on the system.
View ProjectReal-time-Scheduling-Algorithms
March 31, 2023 – April 14, 2023
Real-time-Scheduling-Algorithms — GitHub repository
View ProjectAI-Enhanced-Probabilistic-Reasoning-Autonomous-Car
January 24, 2023 – April 14, 2023
AI-Enhanced-Probabilistic-Reasoning-Autonomous-Car — GitHub repository
View ProjectrlBtechProject
August 10, 2022 – November 23, 2022
E-learning Model based on RL for autism affected children
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards complex algorithmic problems and system-level programming, which aligns well with the problem-solving nature of an Embedded Systems Engineer. The diversity of projects, from parallel computing to real-time scheduling and even AI-enhanced systems, suggests a broad technical curiosity and a proactive approach to learning. However, the projects are predominantly personal and academic, with limited insight into team collaboration or industry best practices, which could impact cultural fit in a collaborative professional environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores were provided, and project descriptions do not offer insight into collaboration or communication styles.