Help & Supportcareers@gravityer.com
B.Tech Computer Science Engineering student focused on machine learning, optimization, and cybersecurity. Interested in building systems from first principles.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
admission-management-platform
May 16, 2026 – Present
admission-management-platform — repository
View Projecteml-framework
May 2, 2026 – Present
A Python framework for transforming symbolic mathematical expressions into EML trees using a single nonlinear operator, with support for evaluation, visualization, and complexity analysis.
View ProjectMultiModal-BCS-Framework
March 17, 2026 – Present
A multimodal deep learning framework for automated cattle body condition scoring, integrating visual, geometric, and behavioral features to enable accurate and scalable livestock health assessment.
View Projectstartup-llm-content-pipeline
March 10, 2026 – Present
Multi-model AI pipeline that converts founder interview transcripts into structured startup stories using Tavily, Gemini, and Claude.
View ProjectMachine-Learning-Foundations
February 27, 2026 – Present
Self-implemented machine learning algorithms and optimization experiments from first principles, focused on mathematical understanding and empirical analysis.
View ProjectATC_Project
September 19, 2025 – December 11, 2025
Automated cattle body condition scoring system using YOLOv8, OpenCV and Flask. 🐄 Detects cattle, segments the body, extracts geometric features and generates body, height and rump condition scores with annotated outputs. Prototype built for Smart India Hackathon. 🚀
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering AI/ML, web development, and mathematical frameworks. This breadth suggests adaptability and a willingness to explore different technical domains. However, the projects are predominantly personal and lack team-based or professional experience, which makes assessing cultural fit for a collaborative environment challenging. The target role of 'Data Scientist' aligns well with the AI/ML focused projects, indicating a strong interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a self-starter attitude and an interest in complex problem-solving.