
Computer Science and Engineering Student at IIIT-Hyderabad
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IIIT-Hyderabad
Data Scientist
June 12, 2026 – Present
Seq-to-Seq-Translation-Model
September 27, 2024 – September 27, 2024
Seq-to-Seq-Translation-Model — GitHub repository
View Projectportfolio-website
September 4, 2024 – January 13, 2025
portfolio-website — GitHub repository
View Projectcs6401_se_2024
December 30, 2023 – April 28, 2024
This is the repository of the course website of the CS6.401 Software Engineering course at IIIT Hyderabad
View ProjectLoCoML
August 15, 2023 – December 26, 2023
LoCoML - A Low Code ML platform that serves as a comprehensive solution for individuals looking to leverage machine learning without the need for extensive technical knowledge. It simplifies the process of model training and deployment while still offering a high degree of flexibility and control to the users.
View Projectvideo-streaming-microservices
May 16, 2023 – May 16, 2023
video-streaming-microservices — GitHub repository
View ProjectModified-xv6-riscv
October 29, 2021 – November 11, 2021
Modified-xv6-riscv — GitHub repository
View ProjectDatabase-Management-System
October 19, 2021 – September 14, 2023
A database management system for a renowned fictional drug syndicate
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from software engineering course websites to operating system modifications and machine learning platforms. This breadth suggests adaptability and a willingness to explore different technical domains. However, the projects are predominantly personal and lack detailed descriptions of collaboration or team dynamics, making it difficult to fully assess cultural fit. The target role is Data Scientist, and while there are relevant ML projects, the overall portfolio is quite broad, which could indicate a generalist profile rather than a deep specialization in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.