B.Tech Computer Science Engineering student focused on machine learning, optimization, and cybersecurity. Interested in building systems from first principles.
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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.