
A software engineer, focused on solving problems.
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Assessing your cultural and operational fit
Engineering-Artifacts-Summarizer
January 24, 2026 – Present
An app which summarizes jira tickets, git commits, pull requests etc using AI
View ProjectFrench-Voice-Collections-Agent
January 20, 2026 – Present
An AI voice agent for handling debt collections, in French language.
View ProjectNS-Pretexting
September 5, 2021 – September 6, 2021
Semester V : NS (Network Security) Project - Pretexting
View ProjectStudent-Acad-Management-System
June 29, 2021 – July 29, 2021
SAMP or Student Academic Management Portal is an application that offers a user friendly interface for the management of students academic affairs along with interaction with admin and/or faculties of their university. (IIITA in our case)
View ProjectKisan-CropAllot
December 18, 2020 – January 14, 2021
A project entry for Hack In The North (HINT) 2020 Hackathon.
View ProjectHeart-Disorder-Classification
December 11, 2020 – December 15, 2020
Entry for Hackoff v3.0 Hackathon in the Siemens Healthineers Challenge - ECG Classification of Heart Disorders.
View ProjectFace-Mask-Detector
December 4, 2020 – December 4, 2020
This project is a part of the hackathon Chef's Hack conducted by CodeChef SRM. Based on COVID-19 Face Mask Detection.
View ProjectFace-Mask-Detector
October 31, 2020 – December 4, 2020
This project is a part of the hackathon Chef's Hack conducted by CodeChef SRM ...
View ProjectMovie-Recommender
July 3, 2020 – July 19, 2020
Generates movie recommendations based on particular liked movie or rating history.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data science, which aligns well with a Data Scientist role. The diversity of projects, including hackathon entries, suggests an enthusiastic and curious individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond technical interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication styles.