Study
Wise
Desktop application that transforms PDFs, lecture notes, scanned documents, and handwritten notes into structured study material including summaries, flashcards, quizzes, and revision guides.
AI / CODE / SYSTEMS / AUTOMATION
privacy-conscious / always learning
I'm Ashwin — a Computer Engineering student passionate about building software that solves real-world problems.
My interests include AI applications, full-stack development, workflow automation, self-hosting, and developer tools.
I enjoy learning by building, experimenting with emerging technologies, and turning ideas into practical products. Most of my projects focus on privacy-first AI, automation, and creating tools that make everyday tasks faster and more efficient.
Outside of development, I write technical articles, contribute to open-source projects, and continuously explore modern software engineering practices.
Find a question.
Build the smallest useful version.
Break it.
Figure out why.
Keep the useful part.
collect concepts, tools and questions
turn an idea into something real
find the interesting failure mode
change what actually needs changing
keep the lesson and follow the next question
Desktop application that transforms PDFs, lecture notes, scanned documents, and handwritten notes into structured study material including summaries, flashcards, quizzes, and revision guides.
Local contract compliance auditor that analyzes legal contracts entirely on-device using local language models, helping users identify risky clauses without uploading sensitive documents to the cloud.
AI-powered Pull Request Assistant that reviews GitHub pull requests and delivers AI-generated feedback directly through Telegram.
AI-powered job application automation for generating resumes, cover letters, and application workflows.
A personal infrastructure playground for Linux servers, Docker containers, local AI models, networking, automation workflows, self-hosted applications, dedicated game servers, prototypes, monitoring, backups, and virtualization experiments.
Prize: USD 500
Prize: USD 50
Challenge result for the AI-powered job application automation project.
Built an AI-powered study companion focused on OCR, document processing, and structured learning.
Contributed to design and prototype development of a community health monitoring solution.
JavaScript
Python
Java
C++
React
Node.js
HTML
CSS
Langflow
Ollama
Local LLMs
Prompt Engineering
Workflow Automation
API Integration
Linux
Docker
Git
GitHub
Self-hosting
VPS Management
SSH
Networking
Tesseract OCR
PySide6
Technical writing around software development and programming.
Practical programming explanations shaped by what I'm learning.
Technical writing focused on software, programming, automation and building.
Exploring cloud and modern software engineering through writing.
Active interests, not a checklist. These are the areas I keep coming back to through actual projects and experiments.
Turning AI capabilities into useful software rather than stopping at the demo.
Exploring applications where sensitive work can stay close to the user.
Building across frontend, backend and the systems between them.
Reducing repetitive work and making developer workflows more useful.
Learning infrastructure by running, breaking and rebuilding it.
Sharing, contributing and learning through projects instead of waiting to feel finished.