Help & Supportcareers@gravityer.com
AI and Machine Learning Aspirant
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amrita School of Engineering
AI and Machine Learning Engineering
June 15, 2026 – Present
python-text-algorithms-assignment
December 16, 2025 – December 16, 2025
Python solutions for text-processing problems including word frequency, flexible anagrams, and text similarity.
View ProjectLineBound-Intersections
June 10, 2024 – June 10, 2024
LineBound-Intersections — GitHub repository
View Projectresearch_paper_summarizer
May 2, 2024 – May 2, 2024
research_paper_summarizer — GitHub repository
View Projectfinding_adopted_user
April 26, 2024 – April 26, 2024
finding_adopted_user — GitHub repository
View ProjectConvex-Optimization-of-Image-Denoising-using-CVXPY-layers
October 24, 2021 – October 24, 2021
By using the Convex Optimization techniques we integrated VGG16 with CVXPY layers and the results a outstanding for high resolution images.
View ProjectSentiment-Analysis-for-Malayalam-Tamil-and-Kannada-Languages
October 7, 2021 – October 8, 2021
This repository contains the code used in the competition Dravidian-CodeMix-FIRE2021. By Team Amrita_CEN_NLP
View ProjectAutomatic-Plant-Watering-System
July 6, 2021 – October 24, 2021
Here I'm giving a basic demonstration about how to built a Automatic plant watering system using audrino UNO
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on AI/ML, which aligns with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world application contexts. The listed experience at Amrita School of Engineering as 'AI and Machine Learning Engineering' with a future start date and 'isCurrent: true' is contradictory and suggests a lack of professional experience, which might impact cultural fit in a fast-paced industry setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests with scores.