CV Aditya Chandrasekar

CV Aditya Chandrasekar

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Download CV
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Phone: 07553312578
Email: aditya.cn@icloud.com
GitHub: github.com/astroCNDY
LinkedIn: linkedin.com/in/aditya-chandrasekar-36ba4530a/
Portfolio: adityachandrasekar.com


EDUCATION

King’s College London — BSc Computer Science (with a Year in Industry)
2024–2028

  • Strong A-Level background: A*A*A

  • Modules include: Data Structures, Software Engineering, Databases, Robotics (ROS), Foundations of Computing, Mathematics for Computer Science.


TECHNICAL SKILLS

Languages: C++, Python, Java
Frameworks & Tools: Django, ROS, Git, SQLite3, ChatGPT API, JavaFX
Other: Photoshop, Linux/Ubuntu, REST APIs, object-oriented programming




Projects


AI Desktop Control System

Built an AI-driven agent that controls a real computer using vision, recursive grid targeting, and primitive-only actions.

  • Designed a recursive alphanumeric grid system for accurate on-screen cursor targeting.

  • Integrated GPT-Vision and YOLOv8 (in progress) for UI-element detection.

  • Developed a structured command framework for mouse, keyboard, screen capture, and verification workflows.
    Tech: Python, OpenAI API, OCR, Computer Vision


Vision-Based Mouse Pointer System (Ongoing)

A standalone module for precise cursor selection without relying on pixel coordinates.

  • Replaces unreliable coordinate detection with hierarchical region-subdivision and verification.

  • Uses AI vision to classify the correct grid cell before moving the cursor.
    Tech: Python, GPT-Vision, Pillow, grid-based algorithms


Forest Simulation Project

A multi-species predator–prey simulation with plants, weather effects, and behaviour rules.

  • Implemented species interactions, reproduction cycles, and growth logic.

  • Added weather-dependent visibility and plant growth models.

  • Migrated project from BlueJ to IntelliJ with cleaner OOP structure.
    Tech: Java, Object-Oriented Design, Simulation Modelling


Blackjack AI Project

Automated Blackjack assistant with vision-based card reading.

  • Built card-detection pipeline using image preprocessing and classification.

  • Implemented basic strategy logic and decision engine.
    Tech: Python, Vision, Game Logic





ACTIVITIES

  • Member, KCL Tech Society

  • Member, Stock Exchange Rifle Club


ADDITIONAL

  • Interested in AI agents, computer vision, simulation design, and automation

  • Portfolio showcasing projects available at adityachandrasekar.com



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