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International Institute of Information Technology, Hyderabad
Data Scientist
June 12, 2026 – Present
GENIE-Watermarking-Graph-Neural-Networks-for-Link-Prediction
March 18, 2026 – Present
GENIE: Watermarking Graph Neural Networks for Link Prediction
View Projectfeline.sh
June 28, 2024 – June 28, 2024
A bottom-up implementation of a UNIX-like shell that handles piping, redirection, and background & foreground processes written in C. No external libraries used.
View Projectmodified-xv6-riscv
June 28, 2024 – June 28, 2024
Modified XV6 Operating System. Added system calls and scheduling algorithms like FCFS, Priority-based scheduling, Lottery Based Scheduling to the MIT Developed XV6 operating system. Done as a part of course CS3.301: Operating System and Networks at IIIT Hyderbad.
View ProjectDijkstras-Algorithm-for-Big-Data
June 28, 2024 – June 28, 2024
Scalable implementation of Dijkstra’s single-source shortest path algorithm capable of handling big data inputs stored in HDFS using Hadoop MapReduce framework.
View ProjectDistributed-Game-of-Life
June 28, 2024 – June 28, 2024
A simple, parallelized implementation of Game of Life using mpi4py.
View ProjectIIIT-H
December 30, 2022 – July 30, 2024
Public notes and files for completed semesters of Aaryan Ajay Sharma studying in the Computer Science Dual Degree (Lateral Entry) program at International Institute of Information Technology, Hyderabad.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration. The diversity of projects, from operating systems to web development and data science, suggests adaptability. However, the lack of team-based or open-source contributions makes it difficult to fully assess cultural fit in a collaborative professional environment. The target role is Data Scientist, and while some projects align, the overall portfolio is quite broad, which could be a strength in terms of versatility but also indicates a less focused specialization at this stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.