Python Utility Project
A practical command-line tool exploring clean code structure, file handling and automation.
AI & ML Student · Python Developer · C++ Programmer · UI/UX Enthusiast
I'm an |
Second-year B.Tech undergraduate in Computer Science & Engineering (AI & ML) at JSS University. I enjoy turning ideas into working software through code and careful problem-solving — currently deepening Python and C++ while exploring machine learning and modern product engineering.

I care about fundamentals, clean code and interfaces that respect the person using them.
I'm a Computer Science student who enjoys learning emerging technologies and turning them into something tangible. My focus right now is depth over breadth: Python, C++, data structures & algorithms, machine learning foundations and version control. Alongside that, I study interface design because good engineering and good design solve the same problem from two directions.
I'm actively looking to collaborate with developers, mentors and teams where I can contribute, be challenged and ship work that matters.
Machine learning foundations, DSA and system fundamentals.
AI research, competitive programming, product design, open source.
A meaningful ML/software internship, then AI products with real impact.
JSS University
2025 — 2029 · Expected
2025 — 2029 (Expected)
JSS University
Core computer science with a specialisation in Artificial Intelligence and Machine Learning, alongside hands-on Python and C++ practice.
Present
Ongoing
Data Structures & Algorithms, machine learning fundamentals, Git workflows and UI/UX design principles.
Honest proficiency levels — each one moving forward every semester.
No professional roles yet — and I won't invent any. Here's exactly where my time goes while I prepare for my first internship.
Coursework built beyond requirements — with real structure and documentation.
Self-directed Python and ML builds to turn theory into working software.
Model fundamentals, math intuition and practical experimentation.
Consistent practice on data structures, algorithms and contest-style problems.
Portfolio, resume, interview fundamentals and technical communication.
Learning in public, reading code and contributing where I can help.
Areas I'm intentionally training in, with the goal of delivering them at a professional standard.
Scripts, automation and small tools — building toward production-grade backends.
In progressData preparation, classical ML models and evaluation, learned through hands-on experiments.
In progressClean interface design, layout systems and usable, accessible product thinking.
In progressModern, responsive front-ends with an eye for detail and performance.
In progressCombining models with real interfaces so the intelligence is actually usable.
In progressReal work, honestly labelled. Each of these is being built now and will land here with write-ups, code and demos.
A practical command-line tool exploring clean code structure, file handling and automation.
An end-to-end classical ML notebook: dataset exploration, feature work, model training and evaluation.
A full interface redesign case study covering research, wireframes, design system and final screens.
I'm open to internships, collaborations, mentorship and genuinely interesting technical projects. Tell me what you're working on.