Headline

Python Full Stack Developer | Python • Django • REST APIs • React.js • JavaScript • SQL | Immediate Joiner

About

I'm a Computer Science Engineering graduate specializing in AI & ML and Python Full Stack Development, with hands-on experience building end-to-end web applications using Python, Django, Django REST Framework, JavaScript, React.js, HTML, CSS and SQL. I enjoy building applications that connect intuitive front-end experiences with reliable back-end systems, REST APIs and databases. My background in AI & ML and Data Analytics also gives me a strong foundation for working with data-driven applications and intelligent solutions. My project experience includes: • Full-stack web applications using Python, Django and React.js • REST API development and CRUD-based applications • Machine learning projects using Python and Scikit-learn • Data analysis and predictive modelling • AI-powered automation and application development I'm particularly interested in opportunities where I can contribute to software development while continuing to strengthen my skills in backend, full-stack and AI-enabled applications. 💼 Immediate Joiner 📍 Bengaluru | Open to relocation 🎯 Seeking full-time opportunities in Python Full Stack Development, Backend Development and Software Development.

Location

Greater Bengaluru Area

AI stack

deepseek

gemini

metaai

n8n

notebooklm

ChatGPT

Work experience

Python Full Stack Intern at Dhee Coding Lab, Jan 2026 - Present · 10 mos, Bangalore Urban, As a Python Full Stack Intern, I am gaining hands-on experience in developing and deploying end-to-end web applications by integrating both frontend and backend technologies. I work with Python, Django, HTML, CSS, and React to build scalable and user-friendly solutions, while also applying my background in data analysis to enhance functionality and performance. 🔹 Key responsibilities: • Developing backend logic and APIs using Python and Django • Designing responsive user interfaces using HTML, CSS, and React • Working with databases and writing SQL queries for data management This role is helping me strengthen my problem-solving skills, understand real-world development workflows, and build impactful, data-driven applications. Leveraging prior experience in machine learning and data analysis to build intelligent, data-driven applications.

Machine Learning Engineer at InternPe, Nov 2024 - Dec 2024 · 2 mos, Mangaluru, Karnataka, India, During my internship at InternPe, I worked on multiple end-to-end machine learning projects across diverse domains, applying data science techniques to solve real-world problems. My role involved data preprocessing, feature engineering, model selection, and performance optimization. Key projects included: Breast Cancer Detection – Applied Random Forest for feature selection and KNN for classification, achieving 92% accuracy in predicting cancer diagnosis. IPL Win Prediction – Built a Neural Network model to predict IPL match outcomes using features like team stats, overs, and run rates. Car Price Prediction – Implemented Linear Regression to estimate car prices based on make, company, and fuel type, emphasizing regression modeling and evaluation. Diabetes Prediction System – Developed a predictive model using Random Forest Classifier, achieving 73.8% accuracy and visualizing health insights through interactive plots. Skills applied: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Keras, Neural Networks, Feature Engineering, Data Visualization, Model Evaluation, and Problem Solving. This internship strengthened my ability to design and deploy scalable ML systems, perform exploratory data analysis, and translate analytical findings into actionable insights.

Education

Bachelor of Engineering - BE, Computer Science and Engineering (Artificial Intelligence & Machine Learning), KVG College of Engineering

Puc, Maths science, Narayana junior college nagarabhavi