Iβm Aryan Patekar, an engineering student navigating the tech universe like a protoform discovering its true form.
From writing my first hello world to building AI-powered assistants, every project has been a transformation and an upgrade.
- π B.E. Information Engineering β Trinity College of Engineering & Research
- π» Passion: turning ideas into intelligent, usable software systems
- π§ Interests: Backend dev, AI/ML, HCI, automation, and clean UX
- π Side Quest: representing college on the cricket field
- β Philosophy: Refactor, optimize, and transform with every commit.
- Languages: Java (Core + Advanced), Python, C
- Concepts: Data Structures, Algorithms, OOP, Design Thinking, HCI
- Web: HTML, CSS, JavaScript, React, Bootstrap, Tailwind CSS
- Backend & DB: JSP, Servlets, MySQL, Maven
- Cloud & APIs: Google Cloud Vision, Translate, TTS, Vertex AI
- Tools: Git, GitHub, VS Code, Eclipse, NetBeans
- Design: Figma, basic UI/UX workflows
"Autobot-level perception for documents."
Tech: Google Cloud Vision API Β· Translate API Β· TTS Β· Vertex AI Β· Python
- Performs OCR on images and documents
- Summarizes extracted content using AI
- Translates text into multiple languages
- Generates speech output for accessibility
Role: Architected the full pipeline from input β OCR β summarization β translation β audio.
"A marketplace system for every warriorβs gear."
Tech: HTML Β· CSS Β· JS Β· Bootstrap Β· Java (JSP/Servlets) Β· MySQL Β· Maven
- Responsive UI for browsing and buying sports equipment
- User authentication, session handling, cart, and checkout flow
- Stable backend logic in Java with MySQL data persistence
"A mini Cybertron ally in Python."
Tech: Python Β· Speech Recognition Β· NLP APIs (Wikipedia, WolframAlpha) Β· Web scraping
- Listens to voice commands and responds with useful info
- Automates simple tasks and queries
- Modular design to add new βskillsβ like system upgrades
- Built reusable React components for modern web UIs
- Translated Figma designs into real, responsive interfaces
- Focused on layout optimization, modularity, and clean structure
- Created voice-based assistants using Python
- Integrated speech recognition and API-based automation
- Worked on conversational flows and task automation logic
- π§Ύ ReactJS Internship
- π§Ύ SAP Advanced Course β Code Unnati
- π§Ύ Java (NPTEL β Swayam)
- π§Ύ Google Cloud Courses & Labs
βMetrics that look like theyβre coming from a Cybertron console.β
- π§ Master DSA in Java for coding interviews
- β Build and deploy 5+ full-stack / AI-powered projects
- β Put the OCR pipeline and Jarvis assistant online
- 𧬠Learn Node.js + Express + MongoDB for backend systems
- π€ Start contributing to open-source alliances
