Headline

Aspiring Software Engineer | Full-Stack innovator | AI & Emerging Tech Enthusiast

About

I am an Aspiring Software Engineer with a passion for building innovative full-stack applications and exploring the world of AI and emerging technologies. Over the past few years, I have gained hands-on experience through internships and personal projects, working with technologies such as Python, React, Node.js, SQL, and basic Machine Learning. I enjoy building innovative solutions that solve real-world problems and am constantly exploring emerging technologies. I am seeking opportunities to grow, learn, and contribute to impactful projects.

Location

Bengaluru

AI stack

anthropic apis

claude code

codex

Work experience

Data Science Intern at BDreamz Global Solutions, Sep 2025 - Jan 2026 · 5 mos, Bengaluru, Karnataka, India, Worked on developing predictive models using Python, Pandas, NumPy, Matplotlib, and scikit-learn. Performed end-to-end data preprocessing, feature engineering, and exploratory data analysis (EDA) to derive actionable insights from structured datasets. Created dashboards and analytical reports to support data-driven decision-making and effectively communicate findings to stakeholders.

Full Stack Developer at Varcons technologies, Jan 2025 - May 2025 · 5 mos, Bengaluru, Karnataka, India, Worked on full-stack development using React.js, Node.js, Express.js, and SQL. Designed and implemented RESTful APIs, optimized CRUD operations to improve performance by 20%, and built responsive UI components in React. Integrated frontend and backend modules effectively and collaborated using Git and Agile practices for smooth project delivery.

Python and Machine learning at Karunadu Technologies Private Limited, Oct 2023 - Nov 2023 · 2 mos, #17, ATK Complex, Acharya College Rd, Guttebasaveshwaranagar, Bengaluru, KA 560090, Processed and cleaned datasets (5,000+ rows) using Python, Pandas, and NumPy. Performed basic feature engineering and trained ML models with scikit-learn, improving accuracy by 15%. Built a Naïve Bayes model to classify flower species with 98% accuracy, demonstrating foundational skills in applied machine learning and evaluation.

Education

Bachelor's degree, Computer Science and Engineering, Sambhram Institute of Technology, BANGALORE

Intermediate Education, Mathematics, Physics, and Chemistry, Nalanda Degree College

Public links

github: https://github.com/yRaviKanthh