I build production-minded AI systems, data workflows, and full-stack tools using Python, Flask, ML models, and modern web technologies.
I’m a B.Tech CSE student focused on Python-powered AI/ML, backend systems, and data workflows. My work spans fraud detection, voice assistants, forecasting tools, and full-stack applications built for practical use.
I like clean code, clear architecture, and systems that do real work. From training models to shipping interfaces, I enjoy building products that feel fast, useful, and intentional.
Projects
Tech Skills
Years Learning
Training CNNs, implementing NLP pipelines, feature engineering, and building model evaluation workflows end-to-end.
Cleaning multi-source datasets, preprocessing image pipelines, and building high-accuracy training sets for ML/DL models.
Building LLM-powered chat assistants, voice-controlled desktop apps, and smart forecasting systems with API integrations.
Scalable backends with Flask, reactive UIs with React.js, Firebase auth/Firestore, and relational database design.
Developing and deploying machine learning models, data preprocessing pipelines, and evaluation workflows.
Leading a student-driven tech community and organizing workshops on emerging technologies.
Driving engagement campaigns and technical workshops around Gemini and Generative AI across campus.
Specialization in AI/ML, with focus on neural networks, database systems, and web development.
Completed senior secondary education with a PCMB stream focus.
Built a strong foundation in mathematics, science, and computing fundamentals.