Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Deep Learning & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI&ML student with a strong foundation in deep learning, computer vision, and reinforcement learning. Proven ability to develop AI-driven solutions for real-world problems, such as crop disease detection and college prediction. Eager to apply technical skills in Python, Java, and React to impactful projects and contribute to innovative teams.
NMAM INSTITUTE OF TECHNOLOGY- NITTE
Bachelor of Technology · AI&ML
August 1, 2022 – Present
SHARADHA PU COLLEGE - MANGALURU
Secondary Education
June 1, 2020 – May 31, 2022
SVS TEMPLE ENGLISH MEDIUM SCHOOL-BANTWAL
Primary Education
August 1, 2008 – June 30, 2020
Manipal Institute of Technology
Intern: Research Internship on Hospital Management System And Analysis
December 1, 2025 – February 28, 2026
India
Invenger Technologies Pvt.Ltd
Intern: Research Internship on Database Management For Student Information System
September 1, 2025 – November 30, 2025
India
Precision Phyto-Protection
June 1, 2024 – Present
AI Driven Solutions for Crop Disease And Management. Developed a system to detect and classify crop conditions using deep learning. Implemented computer vision techniques to analyze crop images and provide diagnostic insights. Designed an intuitive platform for users to upload images and receive instant results.
College Prediction based on Rank (mini-project)
January 1, 2024 – Present
It is a system that predicts suitable colleges for students using their entrance exam rank, category, and previous years' cutoff data. It uses historical cutoff data and student rank to recommend probable colleges.
Lunar Lander using OpenAI (mini-project)
October 1, 2023 – Present
Uses the OpenAI Gym Lunar Lander environment for simulation. Implements reinforcement learning to control the lander's actions.
German-1 -NPTEL Course
NPTEL
June 1, 2026 – Present
Foundations for Big Data Analysis With SQL-Coursera Course
Coursera
June 1, 2026 – Present
Fundamentals of Reinforcement Learning-Coursera Course
Coursera
June 1, 2026 – Present
Introduction to HTML, CSS, JavaScript -Coursera Course
Coursera
June 1, 2026 – Present
Neural Networks and Deep Learning-Coursera Course
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of AI, from crop disease detection to educational predictions and game environments. This breadth suggests adaptability and a willingness to explore different problem domains. The listed soft skills, if validated, would contribute positively to team collaboration. However, the lack of professional experience beyond research internships means there's limited data to assess fit within a corporate culture or fast-paced development environment.
Soft Skills & Operational Fit
The candidate lists soft skills such as Communication, Responsibility, Leadership, Active Listening, Adaptability, Active Learning, and Creativity. While these are valuable, there is no assessment data to validate these claims. The academic projects suggest an ability to work independently on defined problems. The internships are research-focused, which aligns with analytical thinking, but lack detail on operational contributions.